Showing 116 of total 116 results (show query)
robjhyndman
fma:Data Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998)
All data sets from "Forecasting: methods and applications" by Makridakis, Wheelwright & Hyndman (Wiley, 3rd ed., 1998) <https://robjhyndman.com/forecasting/>.
Maintained by Rob Hyndman. Last updated 1 years ago.
24.8 match 19 stars 8.74 score 336 scripts 2 dependents
virmar
finnishgrid:'Fingrid Open Data API' R Client
R API client package for 'Fingrid Open Data' on the electricity market and the power system. get_data() function holds the main application logic to retrieve time-series data. API calls require free user account registration.
Maintained by Markus Virtanen. Last updated 9 months ago.
40.7 match 2 stars 5.24 score 175 scriptsrobjhyndman
fpp2:Data for "Forecasting: Principles and Practice" (2nd Edition)
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman and George Athanasopoulos <https://otexts.com/fpp2/>. All packages required to run the examples are also loaded.
Maintained by Rob Hyndman. Last updated 2 years ago.
19.2 match 106 stars 8.57 score 1.8k scripts 1 dependents
lightbluetitan
timeSeriesDataSets:Time Series Data Sets
Provides a diverse collection of time series datasets spanning various fields such as economics, finance, energy, healthcare, and more. Designed to support time series analysis in R by offering datasets from multiple disciplines, making it a valuable resource for researchers and analysts.
Maintained by Renzo Caceres Rossi. Last updated 6 months ago.
25.9 match 10 stars 5.71 score 103 scripts
cran
fds:Functional Data Sets
Functional data sets.
Maintained by Han Lin Shang. Last updated 6 years ago.
21.8 match 1 stars 5.74 score 110 scripts 147 dependents
dreamrs
vchartr:Interactive Charts with the 'JavaScript' 'VChart' Library
Provides an 'htmlwidgets' interface to 'VChart.js'. 'VChart', more than just a cross-platform charting library, but also an expressive data storyteller. 'VChart' examples and documentation are available here: <https://www.visactor.io/vchart>.
Maintained by Victor Perrier. Last updated 2 months ago.
17.9 match 9 stars 6.89 score 96 scripts
nixtla
nixtlar:A Software Development Kit for 'Nixtla''s 'TimeGPT'
A Software Development Kit for working with 'Nixtla''s 'TimeGPT', a foundation model for time series forecasting. 'API' is an acronym for 'application programming interface'; this package allows users to interact with 'TimeGPT' via the 'API'. You can set and validate 'API' keys and generate forecasts via 'API' calls. It is compatible with 'tsibble' and base R. For more details visit <https://docs.nixtla.io/>.
Maintained by Mariana Menchero. Last updated 28 days ago.
15.1 match 30 stars 8.16 score 38 scriptsdreamrs
billboarder:Create Interactive Chart with the JavaScript 'Billboard' Library
Provides an 'htmlwidgets' interface to 'billboard.js', a re-usable easy interface JavaScript chart library, based on D3 v4+. Chart types include line charts, scatterplots, bar/lollipop charts, histogram/density plots, pie/donut charts and gauge charts. All charts are interactive, and a proxy method is implemented to smoothly update a chart without rendering it again in 'shiny' apps.
Maintained by Victor Perrier. Last updated 5 months ago.
10.5 match 174 stars 9.74 score 96 scripts 4 dependents
rte-antares-rpackage
antaresRead:Import, Manipulate and Explore the Results of an 'Antares' Simulation
Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Maintained by Tatiana Vargas. Last updated 3 days ago.
infrastructuredataimportadequacybilanelectricityenergyhdf5linear-algebramonte-carlo-simulationoptimisationprevisionnelrhdf5rtesimulationtyndp
10.5 match 13 stars 9.45 score 148 scripts 3 dependents
mfasiolo
qgam:Smooth Additive Quantile Regression Models
Smooth additive quantile regression models, fitted using the methods of Fasiolo et al. (2020) <doi:10.1080/01621459.2020.1725521>. See Fasiolo at al. (2021) <doi:10.18637/jss.v100.i09> for an introduction to the package. Differently from 'quantreg', the smoothing parameters are estimated automatically by marginal loss minimization, while the regression coefficients are estimated using either PIRLS or Newton algorithm. The learning rate is determined so that the Bayesian credible intervals of the estimated effects have approximately the correct coverage. The main function is qgam() which is similar to gam() in 'mgcv', but fits non-parametric quantile regression models.
Maintained by Matteo Fasiolo. Last updated 5 days ago.
8.7 match 33 stars 10.13 score 133 scripts 15 dependents
rebeccasalles
TSPred:Functions for Benchmarking Time Series Prediction
Functions for defining and conducting a time series prediction process including pre(post)processing, decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
Maintained by Rebecca Pontes Salles. Last updated 4 years ago.
benchmarkinglinear-modelsmachine-learningnonstationaritytime-series-forecasttime-series-prediction
14.3 match 24 stars 5.53 score 94 scripts 1 dependentsrte-antares-rpackage
antaresViz:Antares Visualizations
Visualize results generated by Antares, a powerful open source software developed by RTE to simulate and study electric power systems (more information about 'Antares' here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). This package provides functions that create interactive charts to help 'Antares' users visually explore the results of their simulations.
Maintained by Tatiana Vargas. Last updated 2 months ago.
adequacybilandygraphselectricenergyleafletlinear-programmingmanipulatewidgemonte-carlo-simulationoptimizationplotlyprevisionnelrenewable-energyrteshinyshiny-appssimulationstochastic-simulation-algorithmtyndp
10.5 match 21 stars 6.83 score 32 scriptsrobjhyndman
forecast:Forecasting Functions for Time Series and Linear Models
Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Maintained by Rob Hyndman. Last updated 7 months ago.
forecastforecastingopenblascpp
3.8 match 1.1k stars 18.63 score 16k scripts 239 dependents
flrd
standardlastprofile:Data Package for BDEW Standard Load Profiles in Electricity
Data on standard load profiles from the German Association of Energy and Water Industries (BDEW Bundesverband der Energie- und Wasserwirtschaft e.V.) in a tidy format. The data and methodology are described in VDEW (1999), "Repräsentative VDEW-Lastprofile", <https://www.bdew.de/media/documents/1999_Repraesentative-VDEW-Lastprofile.pdf>. The package also offers an interface for generating a standard load profile over a user-defined period. For the algorithm, see VDEW (2000), "Anwendung der Repräsentativen VDEW-Lastprofile step-by-step", <https://www.bdew.de/media/documents/2000131_Anwendung-repraesentativen_Lastprofile-Step-by-step.pdf>.
Maintained by Markus Döring. Last updated 8 months ago.
16.4 match 1 stars 3.70 score 4 scripts
dankelley
oce:Analysis of Oceanographic Data
Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively by Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.
Maintained by Dan Kelley. Last updated 1 days ago.
3.5 match 146 stars 15.42 score 4.2k scripts 18 dependents
sbgraves237
Ecdat:Data Sets for Econometrics
Data sets for econometrics, including political science.
Maintained by Spencer Graves. Last updated 4 months ago.
7.3 match 2 stars 7.25 score 740 scripts 3 dependents
business-science
timetk:A Tool Kit for Working with Time Series
Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.
Maintained by Matt Dancho. Last updated 1 years ago.
coercioncoercion-functionsdata-miningdplyrforecastforecastingforecasting-modelsmachine-learningseries-decompositionseries-signaturetibbletidytidyquanttidyversetimetime-seriestimeseries
3.8 match 625 stars 14.15 score 4.0k scripts 16 dependents
pik-piam
limes:The liMES R package
Contains the LIMES-specific routines for data and model output manipulation.
Maintained by Sebastian Osorio. Last updated 9 days ago.
9.9 match 1 stars 4.60 score 5 scripts
paterijk
MCDA:Support for the Multicriteria Decision Aiding Process
Support for the analyst in a Multicriteria Decision Aiding (MCDA) process with algorithms, preference elicitation and data visualisation functions. Sébastien Bigaret, Richard Hodgett, Patrick Meyer, Tatyana Mironova, Alexandru Olteanu (2017) Supporting the multi-criteria decision aiding process : R and the MCDA package, Euro Journal On Decision Processes, Volume 5, Issue 1 - 4, pages 169 - 194 <doi:10.1007/s40070-017-0064-1>.
Maintained by Patrick Meyer. Last updated 2 years ago.
7.0 match 30 stars 6.04 score 182 scripts
r-forge
WRS2:A Collection of Robust Statistical Methods
A collection of robust statistical methods based on Wilcox' WRS functions. It implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs), quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures.
Maintained by Patrick Mair. Last updated 3 months ago.
4.5 match 8.96 score 402 scripts 7 dependents
moderndive
moderndive:Tidyverse-Friendly Introductory Linear Regression
Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at <https://moderndive.com/>.
Maintained by Albert Y. Kim. Last updated 3 months ago.
3.4 match 88 stars 11.35 score 1.8k scripts
veroniquerte
leaflet.minicharts:Mini Charts for Interactive Maps
Add and modify small charts on an interactive map created with package 'leaflet'. These charts can be used to represent at same time multiple variables on a single map.
Maintained by Veronique Bachelier. Last updated 4 years ago.
5.4 match 3 stars 7.06 score 214 scripts 5 dependents
apierrot
clr:Curve Linear Regression via Dimension Reduction
A new methodology for linear regression with both curve response and curve regressors, which is described in Cho, Goude, Brossat and Yao (2013) <doi:10.1080/01621459.2012.722900> and (2015) <doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is dimension reduction based on a singular value decomposition in a Hilbert space, which reduces the curve regression problem to several scalar linear regression problems.
Maintained by Amandine Pierrot. Last updated 6 years ago.
10.8 match 3.26 score 18 scriptsr-forge
mlogit:Multinomial Logit Models
Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2009) Discrete Choice Methods with Simulations <doi:10.1017/CBO9780511805271>.
Maintained by Yves Croissant. Last updated 5 years ago.
3.5 match 9.81 score 1.2k scripts 14 dependentsdreamrs
apexcharter:Create Interactive Chart with the JavaScript 'ApexCharts' Library
Provides an 'htmlwidgets' interface to 'apexcharts.js'. 'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API. 'Apexcharts' examples and documentation are available here: <https://apexcharts.com/>.
Maintained by Victor Perrier. Last updated 25 days ago.
4.0 match 144 stars 8.51 score 247 scriptsr-forge
GeneralizedHyperbolic:The Generalized Hyperbolic Distribution
Functions for the hyperbolic and related distributions. Density, distribution and quantile functions and random number generation are provided for the hyperbolic distribution, the generalized hyperbolic distribution, the generalized inverse Gaussian distribution and the skew-Laplace distribution. Additional functionality is provided for the hyperbolic distribution, normal inverse Gaussian distribution and generalized inverse Gaussian distribution, including fitting of these distributions to data. Linear models with hyperbolic errors may be fitted using hyperblmFit.
Maintained by David Scott. Last updated 3 months ago.
4.0 match 1 stars 8.39 score 124 scripts 27 dependents
teos-10
gsw:Gibbs Sea Water Functions
Provides an interface to the Gibbs 'SeaWater' ('TEOS-10') C library, version 3.06-16-0 (commit '657216dd4f5ea079b5f0e021a4163e2d26893371', dated 2022-10-11, available at <https://github.com/TEOS-10/GSW-C>, which stems from 'Matlab' and other code written by members of Working Group 127 of 'SCOR'/'IAPSO' (Scientific Committee on Oceanic Research / International Association for the Physical Sciences of the Oceans).
Maintained by Dan Kelley. Last updated 8 days ago.
gibbsoceanographyseawaterteos-10
3.7 match 8 stars 8.53 score 286 scripts 19 dependents
wjbraun
DAAG:Data Analysis and Graphics Data and Functions
Functions and data sets used in examples and exercises in the text Maindonald, J.H. and Braun, W.J. (2003, 2007, 2010) "Data Analysis and Graphics Using R", and in an upcoming Maindonald, Braun, and Andrews text that builds on this earlier text.
Maintained by W. John Braun. Last updated 11 months ago.
3.8 match 8.25 score 1.2k scripts 1 dependents
ramikrispin
UKgrid:The UK National Electricity Transmission System Dataset
A time series of the national grid demand (high-voltage electric power transmission network) in the UK since 2011.
Maintained by Lior Krispin. Last updated 5 years ago.
7.0 match 28 stars 4.42 score 19 scripts
jhelvy
logitr:Logit Models w/Preference & WTP Space Utility Parameterizations
Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R. Models can be estimated using "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations. Weighted models can also be estimated. An option is available to run a parallelized multistart optimization loop with random starting points in each iteration, which is useful for non-convex problems like MXL models or models with WTP space utility parameterizations. The main optimization loop uses the 'nloptr' package to minimize the negative log-likelihood function. Additional functions are available for computing and comparing WTP from both preference space and WTP space models and for predicting expected choices and choice probabilities for sets of alternatives based on an estimated model. Mixed logit models can include uncorrelated or correlated heterogeneity covariances and are estimated using maximum simulated likelihood based on the algorithms in Train (2009) <doi:10.1017/CBO9780511805271>. More details can be found in Helveston (2023) <doi:10.18637/jss.v105.i10>.
Maintained by John Helveston. Last updated 5 months ago.
log-likelihoodlogitlogit-modelmixed-logitmlogitmultinomial-regressionmxlmxl-modelspreference-spacepreferenceswillingness-to-paywtp
3.4 match 54 stars 9.10 score 119 scripts 1 dependents
projectmosaic
mosaicCalc:R-Language Based Calculus Operations for Teaching
Software to support the introductory *MOSAIC Calculus* textbook <https://www.mosaic-web.org/MOSAIC-Calculus/>), one of many data- and modeling-oriented educational resources developed by Project MOSAIC (<https://www.mosaic-web.org/>). Provides symbolic and numerical differentiation and integration, as well as support for applied linear algebra (for data science), and differential equations/dynamics. Includes grammar-of-graphics-based functions for drawing vector fields, trajectories, etc. The software is suitable for general use, but intended mainly for teaching calculus.
Maintained by Daniel Kaplan. Last updated 20 days ago.
3.4 match 13 stars 8.68 score 546 scriptsramikrispin
USgrid:The Demand and Supply for Electricity in the US
Provides a set of regular time-series datasets, describing the US electricity grid. That includes the total demand and supply, and as well as the demand by energy source (coal, solar, wind, etc.). Source: US Energy Information Administration (Mar 2021) <https://www.eia.gov/>.
Maintained by Rami Krispin. Last updated 4 years ago.
7.2 match 25 stars 4.10 score 8 scripts
tidyverts
tsibbledata:Diverse Datasets for 'tsibble'
Provides diverse datasets in the 'tsibble' data structure. These datasets are useful for learning and demonstrating how tidy temporal data can tidied, visualised, and forecasted.
Maintained by Mitchell OHara-Wild. Last updated 4 months ago.
3.5 match 25 stars 8.44 score 740 scripts 2 dependents
hdakpo
sfaR:Stochastic Frontier Analysis Routines
Maximum likelihood estimation for stochastic frontier analysis (SFA) of production (profit) and cost functions. The package includes the basic stochastic frontier for cross-sectional or pooled data with several distributions for the one-sided error term (i.e., Rayleigh, gamma, Weibull, lognormal, uniform, generalized exponential and truncated skewed Laplace), the latent class stochastic frontier model (LCM) as described in Dakpo et al. (2021) <doi:10.1111/1477-9552.12422>, for cross-sectional and pooled data, and the sample selection model as described in Greene (2010) <doi:10.1007/s11123-009-0159-1>, and applied in Dakpo et al. (2021) <doi:10.1111/agec.12683>. Several possibilities in terms of optimization algorithms are proposed.
Maintained by K Hervé Dakpo. Last updated 5 months ago.
7.0 match 4 stars 4.08 score 9 scripts 1 dependents
dralliag
opera:Online Prediction by Expert Aggregation
Misc methods to form online predictions, for regression-oriented time-series, by combining a finite set of forecasts provided by the user. See Cesa-Bianchi and Lugosi (2006) <doi:10.1017/CBO9780511546921> for an overview.
Maintained by Pierre Gaillard. Last updated 4 months ago.
3.8 match 51 stars 7.54 score 76 scripts 1 dependentsrobjhyndman
stR:Seasonal Trend Decomposition Using Regression
Methods for decomposing seasonal data: STR (a Seasonal-Trend time series decomposition procedure based on Regression) and Robust STR. In some ways, STR is similar to Ridge Regression and Robust STR can be related to LASSO. They allow for multiple seasonal components, multiple linear covariates with constant, flexible and seasonal influence. Seasonal patterns (for both seasonal components and seasonal covariates) can be fractional and flexible over time; moreover they can be either strictly periodic or have a more complex topology. The methods provide confidence intervals for the estimated components. The methods can also be used for forecasting.
Maintained by Rob Hyndman. Last updated 2 months ago.
4.0 match 7 stars 7.02 score 1.3k scripts 2 dependentsrobjhyndman
expsmooth:Data Sets from "Forecasting with Exponential Smoothing"
Data sets from the book "Forecasting with exponential smoothing: the state space approach" by Hyndman, Koehler, Ord and Snyder (Springer, 2008).
Maintained by Rob Hyndman. Last updated 2 years ago.
3.6 match 14 stars 7.53 score 105 scripts 2 dependents
steve-the-bayesian
bsts:Bayesian Structural Time Series
Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <DOI:10.1504/IJMMNO.2014.059942>, among many other sources.
Maintained by Steven L. Scott. Last updated 1 years ago.
4.0 match 33 stars 6.54 score 338 scripts 3 dependents
karlines
diagram:Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams
Visualises simple graphs (networks) based on a transition matrix, utilities to plot flow diagrams, visualising webs, electrical networks, etc. Support for the book "A practical guide to ecological modelling - using R as a simulation platform" by Karline Soetaert and Peter M.J. Herman (2009), Springer. and the book "Solving Differential Equations in R" by Karline Soetaert, Jeff Cash and Francesca Mazzia (2012), Springer. Includes demo(flowchart), demo(plotmat), demo(plotweb).
Maintained by Karline Soetaert. Last updated 4 years ago.
2.5 match 10.06 score 598 scripts 487 dependents
thothorn
HSAUR3:A Handbook of Statistical Analyses Using R (3rd Edition)
Functions, data sets, analyses and examples from the third edition of the book ''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and Brian S. Everitt, Chapman & Hall/CRC, 2014). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, Sweave source code for slides of selected chapters is included in this package (see HSAUR3/inst/slides). The publishers web page is '<https://www.routledge.com/A-Handbook-of-Statistical-Analyses-using-R/Hothorn-Everitt/p/book/9781482204582>'.
Maintained by Torsten Hothorn. Last updated 7 months ago.
3.8 match 6 stars 6.72 score 120 scripts 2 dependents
middleton-lab
abd:The Analysis of Biological Data
The abd package contains data sets and sample code for The Analysis of Biological Data by Michael Whitlock and Dolph Schluter (2009; Roberts & Company Publishers).
Maintained by Kevin M. Middleton. Last updated 11 months ago.
4.5 match 6 stars 5.53 score 182 scripts 1 dependents
petolau
TSrepr:Time Series Representations
Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also various normalisation methods (min-max, z-score, Box-Cox, Yeo-Johnson), and forecasting accuracy measures are implemented.
Maintained by Peter Laurinec. Last updated 5 years ago.
data-analysisdata-miningdata-mining-algorithmsdata-sciencerepresentationtime-seriestime-series-analysistime-series-classificationtime-series-clusteringtime-series-data-miningtime-series-representationscpp
3.4 match 97 stars 7.23 score 117 scripts
robinhankin
ResistorArray:Electrical Properties of Resistor Networks
Electrical properties of resistor networks using matrix methods.
Maintained by Robin K. S. Hankin. Last updated 1 years ago.
5.6 match 4.32 score 14 scripts 1 dependentsthothorn
HSAUR:A Handbook of Statistical Analyses Using R (1st Edition)
Functions, data sets, analyses and examples from the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2006). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available.
Maintained by Torsten Hothorn. Last updated 3 years ago.
3.8 match 6.07 score 253 scripts 5 dependents
fabrice-rossi
mixvlmc:Variable Length Markov Chains with Covariates
Estimates Variable Length Markov Chains (VLMC) models and VLMC with covariates models from discrete sequences. Supports model selection via information criteria and simulation of new sequences from an estimated model. See Bühlmann, P. and Wyner, A. J. (1999) <doi:10.1214/aos/1018031204> for VLMC and Zanin Zambom, A., Kim, S. and Lopes Garcia, N. (2022) <doi:10.1111/jtsa.12615> for VLMC with covariates.
Maintained by Fabrice Rossi. Last updated 10 months ago.
machine-learningmarkov-chainmarkov-modelstatisticstime-seriescpp
3.6 match 2 stars 6.23 score 20 scripts
jamesramsay5
fda:Functional Data Analysis
These functions were developed to support functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis. New York: Springer and in Ramsay, J. O., Hooker, Giles, and Graves, Spencer (2009). Functional Data Analysis with R and Matlab (Springer). The package includes data sets and script files working many examples including all but one of the 76 figures in this latter book. Matlab versions are available by ftp from <https://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/>.
Maintained by James Ramsay. Last updated 4 months ago.
1.8 match 3 stars 12.29 score 2.0k scripts 143 dependentspik-piam
mrremind:MadRat REMIND Input Data Package
The mrremind packages contains data preprocessing for the REMIND model.
Maintained by Lavinia Baumstark. Last updated 3 days ago.
3.4 match 4 stars 6.25 score 15 scripts 1 dependents
pmontman
TSclust:Time Series Clustering Utilities
A set of measures of dissimilarity between time series to perform time series clustering. Metrics based on raw data, on generating models and on the forecast behavior are implemented. Some additional utilities related to time series clustering are also provided, such as clustering algorithms and cluster evaluation metrics.
Maintained by Pablo Montero Manso. Last updated 5 years ago.
3.6 match 2 stars 5.76 score 170 scripts 8 dependentsthothorn
HSAUR2:A Handbook of Statistical Analyses Using R (2nd Edition)
Functions, data sets, analyses and examples from the second edition of the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2008). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, the package contains Sweave code for producing slides for selected chapters (see HSAUR2/inst/slides).
Maintained by Torsten Hothorn. Last updated 2 years ago.
3.8 match 5.51 score 181 scripts 1 dependents
fchamroukhi
samurais:Statistical Models for the Unsupervised Segmentation of Time-Series ('SaMUraiS')
Provides a variety of original and flexible user-friendly statistical latent variable models and unsupervised learning algorithms to segment and represent time-series data (univariate or multivariate), and more generally, longitudinal data, which include regime changes. 'samurais' is built upon the following packages, each of them is an autonomous time-series segmentation approach: Regression with Hidden Logistic Process ('RHLP'), Hidden Markov Model Regression ('HMMR'), Multivariate 'RHLP' ('MRHLP'), Multivariate 'HMMR' ('MHMMR'), Piece-Wise regression ('PWR'). For the advantages/differences of each of them, the user is referred to our mentioned paper references. These models are originally introduced and written in 'Matlab' by Faicel Chamroukhi <https://github.com/fchamroukhi?&tab=repositories&q=time-series&type=public&language=matlab>.
Maintained by Florian Lecocq. Last updated 5 years ago.
artificial-intelligencechange-point-detectiondata-sciencedynamic-programmingem-algorithmhidden-markov-modelshidden-process-regressionhuman-activity-recognitionlatent-variable-modelsmodel-selectionmultivariate-timeseriesnewton-raphsonpiecewise-regressionstatistical-inferencestatistical-learningtime-series-analysistime-series-clusteringopenblascpp
3.3 match 12 stars 6.18 score 28 scriptscran
NISTunits:Fundamental Physical Constants and Unit Conversions from NIST
Fundamental physical constants (Quantity, Value, Uncertainty, Unit) for SI (International System of Units) and non-SI units, plus unit conversions Based on the data from NIST (National Institute of Standards and Technology, USA)
Maintained by Jose Gama. Last updated 9 years ago.
7.2 match 2.85 score 10 dependents
dpmcsuss
iGraphMatch:Tools for Graph Matching
Versatile tools and data for graph matching analysis with various forms of prior information that supports working with 'igraph' objects, matrix objects, or lists of either.
Maintained by Daniel Sussman. Last updated 10 months ago.
graph-algorithmsgraph-matchingcpp
3.5 match 9 stars 5.83 score 9 scripts
multi-objective
moocore:Core Mathematical Functions for Multi-Objective Optimization
Fast implementation of mathematical operations and performance metrics for multi-objective optimization, including filtering and ranking of dominated vectors according to Pareto optimality, computation of the empirical attainment function, V.G. da Fonseca, C.M. Fonseca, A.O. Hall (2001) <doi:10.1007/3-540-44719-9_15>, hypervolume metric, C.M. Fonseca, L. Paquete, M. López-Ibáñez (2006) <doi:10.1109/CEC.2006.1688440>, epsilon indicator, inverted generational distance, and Vorob'ev threshold, expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
Maintained by Manuel López-Ibáñez. Last updated 5 days ago.
3.2 match 11 stars 6.27 score 7 scripts 4 dependents
gmestrem
fdaACF:Autocorrelation Function for Functional Time Series
Quantify the serial correlation across lags of a given functional time series using the autocorrelation function and a partial autocorrelation function for functional time series proposed in Mestre et al. (2021) <doi:10.1016/j.csda.2020.107108>. The autocorrelation functions are based on the L2 norm of the lagged covariance operators of the series. Functions are available for estimating the distribution of the autocorrelation functions under the assumption of strong functional white noise.
Maintained by Guillermo Mestre Marcos. Last updated 4 years ago.
5.5 match 8 stars 3.64 score 11 scripts
paulgovan
energyr:Data Published by the United States Federal Energy Regulatory Commission
Data published by the United States Federal Energy Regulatory Commission including electric company financial data, natural gas company financial data, hydropower plant data, liquified natural gas plant data, oil company financial data natural gas company financial data, and natural gas storage field data.
Maintained by Paul Govan. Last updated 8 months ago.
4.5 match 4 stars 4.38 score 7 scripts 1 dependents
bayesball
ProbBayes:Probability and Bayesian Modeling
Functions and datasets to accompany J. Albert and J. Hu, "Probability and Bayesian Modeling", CRC Press, (2019, ISBN: 1138492566).
Maintained by Jim Albert. Last updated 4 years ago.
4.5 match 5 stars 4.30 score 80 scripts
dkesada
dbnR:Dynamic Bayesian Network Learning and Inference
Learning and inference over dynamic Bayesian networks of arbitrary Markovian order. Extends some of the functionality offered by the 'bnlearn' package to learn the networks from data and perform exact inference. It offers three structure learning algorithms for dynamic Bayesian networks: Trabelsi G. (2013) <doi:10.1007/978-3-642-41398-8_34>, Santos F.P. and Maciel C.D. (2014) <doi:10.1109/BRC.2014.6880957>, Quesada D., Bielza C. and Larrañaga P. (2021) <doi:10.1007/978-3-030-86271-8_14>. It also offers the possibility to perform forecasts of arbitrary length. A tool for visualizing the structure of the net is also provided via the 'visNetwork' package.
Maintained by David Quesada. Last updated 9 months ago.
bayesian-networksdynamic-bayesian-networksforecastinginferencetime-seriescpp
3.4 match 55 stars 5.01 score 37 scripts
ceweiss
ForecastComb:Forecast Combination Methods
Provides geometric- and regression-based forecast combination methods under a unified user interface for the packages 'ForecastCombinations' and 'GeomComb'. Additionally, updated tools and convenience functions for data pre-processing are available in order to deal with common problems in forecast combination (missingness, collinearity). For method details see Hsiao C, Wan SK (2014). <doi:10.1016/j.jeconom.2013.11.003>, Hansen BE (2007). <doi:10.1111/j.1468-0262.2007.00785.x>, Elliott G, Gargano A, Timmermann A (2013). <doi:10.1016/j.jeconom.2013.04.017>, and Clemen RT (1989). <doi:10.1016/0169-2070(89)90012-5>.
Maintained by Christoph E. Weiss. Last updated 7 years ago.
3.6 match 30 stars 4.77 score 39 scripts
mlopez-ibanez
eaf:Plots of the Empirical Attainment Function
Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization. M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>.
Maintained by Manuel López-Ibáñez. Last updated 7 months ago.
eafeaf-differencesepsilonhypervolumeinverted-generational-distancemultiobjective-optimizationsummary-attainment-surfacesvisualizationgsl
3.2 match 17 stars 5.31 score 32 scripts 1 dependents
egarpor
goffda:Goodness-of-Fit Tests for Functional Data
Implementation of several goodness-of-fit tests for functional data. Currently, mostly related with the functional linear model with functional/scalar response and functional/scalar predictor. The package allows for the replication of the data applications considered in García-Portugués, Álvarez-Liébana, Álvarez-Pérez and González-Manteiga (2021) <doi:10.1111/sjos.12486>.
Maintained by Eduardo García-Portugués. Last updated 1 years ago.
functional-data-analysisgoodness-of-fitreproducible-researchstatisticsopenblascpp
3.5 match 10 stars 4.76 score 19 scripts 1 dependentscran
TSA:Time Series Analysis
Contains R functions and datasets detailed in the book "Time Series Analysis with Applications in R (second edition)" by Jonathan Cryer and Kung-Sik Chan.
Maintained by Kung-Sik Chan. Last updated 3 years ago.
3.5 match 2 stars 4.47 score 5 dependentscran
EngrExpt:Data sets from "Introductory Statistics for Engineering Experimentation"
Datasets from Nelson, Coffin and Copeland "Introductory Statistics for Engineering Experimentation" (Elsevier, 2003) with sample code.
Maintained by Douglas Bates. Last updated 16 years ago.
7.5 match 2.05 score 113 scriptscran
soilassessment:Soil Health Assessment Models for Assessing Soil Conditions and Suitability
Soil health assessment builds information to improve decision in soil management. It facilitates assessment of soil conditions for crop suitability [such as those given by FAO <https://www.fao.org/land-water/databases-and-software/crop-information/en/>], groundwater recharge, fertility, erosion, salinization [<doi:10.1002/ldr.4211>], carbon sequestration, irrigation potential, and status of soil resources.
Maintained by Christian Thine Omuto. Last updated 2 months ago.
15.2 match 1 stars 1.00 score
mcanigueral
evsim:Electric Vehicle Charging Sessions Simulation
Simulation of Electric Vehicles charging sessions using Gaussian models, together with time-series power demand calculations. The simulation methodology is published in Cañigueral et al. (2023, ISBN:0957-4174) <doi:10.1016/j.eswa.2023.120318>.
Maintained by Marc Cañigueral. Last updated 3 days ago.
3.5 match 1 stars 3.98 score 19 scripts
ijlyttle
vembedr:Embed Video in HTML
A set of functions for generating HTML to embed hosted video in your R Markdown documents or Shiny applications.
Maintained by Ian Lyttle. Last updated 3 years ago.
boxembed-videosrmarkdownshinyvimeoyoutube
1.6 match 58 stars 7.83 score 520 scripts
matt-smith430
ITNr:Analysis of the International Trade Network
Functions to clean and process international trade data into an international trade network (ITN) are provided. It then provides a set a functions to undertake analysis and plots of the ITN (extract the backbone, centrality, blockmodels, clustering). Examining the key players in the ITN and regional trade patterns.
Maintained by Matthew Smith. Last updated 2 years ago.
7.0 match 1.78 score 47 scripts
sanfordweisberg
alr4:Data to Accompany Applied Linear Regression 4th Edition
Datasets to Accompany S. Weisberg (2014, ISBN: 978-1-118-38608-8), "Applied Linear Regression," 4th edition. Many data files in this package are included in the `alr3` package as well, so only one of them should be used.
Maintained by Sanford Weisberg. Last updated 7 years ago.
3.6 match 1 stars 3.45 score 306 scripts
anhoej
qicharts2:Quality Improvement Charts
Functions for making run charts, Shewhart control charts and Pareto charts for continuous quality improvement. Included control charts are: I, MR, Xbar, S, T, C, U, U', P, P', and G charts. Non-random variation in the form of minor to moderate persistent shifts in data over time is identified by the Anhoej rules for unusually long runs and unusually few crossing [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>]. Non-random variation in the form of larger, possibly transient, shifts is identified by Shewhart's 3-sigma rule [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>].
Maintained by Jacob Anhoej. Last updated 1 months ago.
1.3 match 39 stars 9.04 score 122 scripts 2 dependentscran
SemiPar:Semiparametic Regression
Functions for semiparametric regression analysis, to complement the book: Ruppert, D., Wand, M.P. and Carroll, R.J. (2003). Semiparametric Regression. Cambridge University Press.
Maintained by Billy Aung Myint. Last updated 7 years ago.
3.8 match 3.03 score 8 dependentsmcanigueral
evprof:Electric Vehicle Charging Sessions Profiling and Modelling
Tools for modelling electric vehicle charging sessions into generic groups with similar connection patterns called "user profiles", using Gaussian Mixture Models clustering. The clustering and profiling methodology is described in Cañigueral and Meléndez (2021, ISBN:0142-0615) <doi:10.1016/j.ijepes.2021.107195>.
Maintained by Marc Cañigueral. Last updated 3 days ago.
3.4 match 2 stars 3.30 score 6 scripts
joelkilty
MMAC:Data for Mathematical Modeling and Applied Calculus
Contains the data sets for the textbook "Mathematical Modeling and Applied Calculus" by Joel Kilty and Alex M. McAllister. The book will be published by Oxford University Press in 2018 with ISBN-13: 978-019882472.
Maintained by Joel Kilty. Last updated 7 years ago.
4.5 match 2.50 score 63 scripts
anespinosa
classicnets:classicnets: Classic Data of Social Networks
Classic Data of Social Networks. From the beginning of sociometry until the beginning of the new millenium.
Maintained by Alejandro Espinosa-Rada. Last updated 3 years ago.
network-analysisnetwork-sciencesocial-networksocial-network-analysis
4.0 match 11 stars 2.74 score 8 scripts
arne-henningsen
micEcon:Microeconomic Analysis and Modelling
Various tools for microeconomic analysis and microeconomic modelling, e.g. estimating quadratic, Cobb-Douglas and Translog functions, calculating partial derivatives and elasticities of these functions, and calculating Hessian matrices, checking curvature and preparing restrictions for imposing monotonicity of Translog functions.
Maintained by Arne Henningsen. Last updated 3 years ago.
3.4 match 3 stars 3.18 score 39 scripts 3 dependents
aphalo
rOmniDriver:Omni Driver R wrapper
This package is a wrapper of the OmniDriver java driver for Ocean Optics spectrometers.
Maintained by Pedro J. Aphalo. Last updated 7 months ago.
data-acquisitionspectroscopyopenjdk
3.5 match 1 stars 3.00 score 6 scripts
richardli
surveyPrev:Mapping the Prevalence of Binary Indicators using Survey Data in Small Areas
Provides a pipeline to perform small area estimation and prevalence mapping of binary indicators using health and demographic survey data, described in Fuglstad et al. (2022) <doi:10.48550/arXiv.2110.09576> and Wakefield et al. (2020) <doi:10.1111/insr.12400>.
Maintained by Qianyu Dong. Last updated 5 days ago.
1.7 match 1 stars 5.76 score 11 scripts
shah-in-boots
EGM:Evaluating Cardiac Electrophysiology Signals
A system for importing electrophysiological signal, based on the 'Waveform Database (WFDB)' software package, written by Moody et al 2022 <doi:10.13026/gjvw-1m31>. A wrapper for utilizing 'WFDB' functions for reading and writing signal data, as well as functions for visualization and analysis are provided. A stable and broadly compatible class for working with signal data, supporting the reading in of cardiac electrophysiogical files such as intracardiac electrograms, is introduced.
Maintained by Anish S. Shah. Last updated 20 days ago.
cardiologyelectrophysiologysignal-processingcpp
1.8 match 5.32 score 9 scripts
dusty-turner
ggvfields:Vector Field Visualizations with 'ggplot2'
A 'ggplot2' extension for visualizing vector fields in two-dimensional space. Provides flexible tools for creating vector and stream field layers, visualizing gradients and potential fields, and smoothing vector and scalar data to estimate underlying patterns.
Maintained by Dusty Turner. Last updated 3 days ago.
2.3 match 4.23 score
ekstroem
isdals:Datasets for Introduction to Statistical Data Analysis for the Life Sciences
Provides datasets for the book "Introduction to Statistical Data Analysis for the Life Sciences, Second edition" by Ekstrøm and Sørensen (2014).
Maintained by Claus Ekstrom. Last updated 2 years ago.
3.8 match 2.51 score 108 scripts 1 dependents
johnmackintosh
rockthemes:Colour palettes based on classic rock album covers
Colour palettes, scales and fills based on classic rock album covers.
Maintained by John MacKintosh. Last updated 1 years ago.
colour-palettesdata-visualisationdata-visualizationggplot2ggplot2-themesrock-albums
2.3 match 35 stars 4.02 score 7 scripts
pacoparra
descomponer:Seasonal Adjustment by Frequency Analysis
Decompose a time series into seasonal, trend and irregular components using transformations to amplitude-frequency domain.
Maintained by Francisco Parra. Last updated 4 years ago.
4.0 match 1 stars 2.23 score 17 scripts
kjhealy
gssrdoc:Document General Social Survey Variable
The General Social Survey (GSS) is a long-running, mostly annual survey of US households. It is administered by the National Opinion Research Center (NORC). This package contains the a tibble with information on the survey variables, together with every variable documented as an R help page. For more information on the GSS see \url{http://gss.norc.org}.
Maintained by Kieran Healy. Last updated 11 months ago.
3.7 match 2.28 score 38 scripts
moohan
octopusR:Interact with the 'Octopus Energy' API
A simple wrapper for the 'Octopus Energy' REST API <https://developer.octopus.energy/rest/>. It handles authentication, by storing a provided API key and meter details. Implemented endpoints include 'products' for viewing tariff details and 'consumption' for viewing meter consumption data.
Maintained by James McMahon. Last updated 13 days ago.
1.8 match 4 stars 4.38 score 5 scriptscran
npbr:Nonparametric Boundary Regression
A variety of functions for the best known and most innovative approaches to nonparametric boundary estimation. The selected methods are concerned with empirical, smoothed, unrestricted as well as constrained fits under both separate and multiple shape constraints. They cover robust approaches to outliers as well as data envelopment techniques based on piecewise polynomials, splines, local linear fitting, extreme values and kernel smoothing. The package also seamlessly allows for Monte Carlo comparisons among these different estimation methods. Its use is illustrated via a number of empirical applications and simulated examples.
Maintained by Thibault Laurent. Last updated 2 years ago.
3.8 match 1 stars 2.00 scorepik-piam
reporttransport:Reporting package for edgeTransport
This package contains edgeTransport-specific routines to report model results. The main functionality is to generate transport reporting variables in MIF format from a given edgeTransport model run folder or REMIND input data.
Maintained by Johanna Hoppe. Last updated 2 months ago.
1.6 match 4.60 score 9 scripts 3 dependents
tgno3
DJL:Distance Measure Based Judgment and Learning
Implements various decision support tools related to the Econometrics & Technometrics. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, network DEA, dynamic DEA, intertemporal budgeting, etc.
Maintained by Dong-Joon Lim. Last updated 2 years ago.
3.5 match 1 stars 1.97 score 93 scriptspik-piam
mrdieter:MadRat DIETER Input Data Package
The mrdieter package contains data preprocessing for the DIETER model.
Maintained by Falk Benke. Last updated 3 years ago.
3.8 match 1.70 score
lilyclements
carbonr:Calculate Carbon-Equivalent Emissions
Provides a flexible tool for calculating carbon-equivalent emissions. Mostly using data from the UK Government's Greenhouse Gas Conversion Factors report <https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2023>, it facilitates transparent emissions calculations for various sectors, including travel, accommodation, and clinical activities. The package is designed for easy integration into R workflows, with additional support for 'shiny' applications and community-driven extensions.
Maintained by Lily Clements. Last updated 5 months ago.
2.0 match 3.16 score 29 scripts
impaug
GmooG:Datasets for the Book 'Getting (more out of) Graphics'
Datasets analysed in the book Antony Unwin (2024, ISBN:978-0367674007) "Getting (more out of) Graphics".
Maintained by Antony Unwin. Last updated 7 months ago.
3.4 match 1.70 score
yng-me
mpindex:Multidimensional Poverty Index (MPI)
A set of easy-to-use functions for computing the Multidimensional Poverty Index (MPI).
Maintained by Bhas Abdulsamad. Last updated 1 years ago.
1.3 match 4 stars 4.30 score 6 scripts
cran
SLBDD:Statistical Learning for Big Dependent Data
Programs for analyzing large-scale time series data. They include functions for automatic specification and estimation of univariate time series, for clustering time series, for multivariate outlier detections, for quantile plotting of many time series, for dynamic factor models and for creating input data for deep learning programs. Examples of using the package can be found in the Wiley book 'Statistical Learning with Big Dependent Data' by Daniel Peña and Ruey S. Tsay (2021). ISBN 9781119417385.
Maintained by Antonio Elias. Last updated 3 years ago.
3.6 match 1.56 score 12 scripts 1 dependents
ycroissant
pder:Panel Data Econometrics with R
Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641> book.
Maintained by Yves Croissant. Last updated 3 years ago.
4.0 match 1.36 score 15 scripts
riazakhan94
loadshaper:Producing Load Shape with Target Peak and Load Factor
Modifying a load shape to match specific peak and load factor is a fundamental component for various power system planning and operation studies. This package is an efficient tool to modify a reference load shape while matching the desired peak and load factor. The package offers both linear and non-linear method, described in <https://rpubs.com/riazakhan94/load_shape_match_peak_energy>. The user can control the shape of the final load shape by regulating certain parameters. The package provides validation metrics for assessing the derived load shape in terms of preserving time series properties. It also offers powerful graphics, that allows the user to visually assess the derived load shape.
Maintained by Md Riaz Ahmed Khan. Last updated 3 years ago.
1.3 match 3.70 score 2 scripts
ropenspain
resios:Interacts with REE and ESIOS API
Provides functions to retrieve and use easily data from Red Electrica Española (REE) the which operates the national electricity grid in Spain. The REE also provides ESIOS from electronic-"Sistema de Información del Operador del Sistema", which is also covered here.
Maintained by Lluís Revilla Sancho. Last updated 6 months ago.
2.3 match 2.00 score 1 scripts
jegido
dynBiplotGUI:Full Interactive GUI for Dynamic Biplot in R
A GUI to solve dynamic biplots and classical biplot. Try matrices of 2-way and 3-way. The GUI can be run in multiple languages.
Maintained by Jaime Egido. Last updated 4 years ago.
4.5 match 1.00 scorecran
tsrobprep:Robust Preprocessing of Time Series Data
Methods for handling the missing values outliers are introduced in this package. The recognized missing values and outliers are replaced using a model-based approach. The model may consist of both autoregressive components and external regressors. The methods work robust and efficient, and they are fully tunable. The primary motivation for writing the package was preprocessing of the energy systems data, e.g. power plant production time series, but the package could be used with any time series data. For details, see Narajewski et al. (2021) <doi:10.1016/j.softx.2021.100809>.
Maintained by Michał Narajewski. Last updated 3 years ago.
3.4 match 2 stars 1.30 score
danielollech
dsa:Seasonal Adjustment of Daily Time Series
Seasonal- and calendar adjustment of time series with daily frequency using the DSA approach developed by Ollech, Daniel (2018): Seasonal adjustment of daily time series. Bundesbank Discussion Paper 41/2018.
Maintained by Daniel Ollech. Last updated 4 years ago.
1.3 match 1 stars 3.19 score 52 scripts 1 dependentscran
isoboost:Isotonic Boosting Classification Rules
In classification problems a monotone relation between some predictors and the classes may be assumed. In this package 'isoboost' we propose new boosting algorithms, based on LogitBoost, that incorporate this isotonicity information, yielding more accurate and easily interpretable rules.
Maintained by David Conde. Last updated 4 years ago.
3.8 match 1.00 score
mfacevedol
renpow:Renewable Power Systems and the Environment
Supports calculations and visualization for renewable power systems and the environment. Analysis and graphical tools for DC and AC circuits and their use in electric power systems. Analysis and graphical tools for thermodynamic cycles and heat engines, supporting efficiency calculations in coal-fired power plants, gas-fired power plants. Calculations of carbon emissions and atmospheric CO2 dynamics. Analysis of power flow and demand for the grid, as well as power models for microgrids and off-grid systems. Provides resource and power generation for hydro power, wind power, and solar power.
Maintained by Miguel F. Acevedo. Last updated 7 years ago.
2.5 match 1.48 score 30 scripts
kkulma
intensegRid:R Wrapper for the Carbon Intensity API
Electricity is not made equal and it vary in its carbon footprint (or carbon intensity) depending on its source. This package enables to access and query data provided by the Carbon Intensity API (<https://carbonintensity.org.uk/>). National Grid’s Carbon Intensity API provides an indicative trend of regional carbon intensity of the electricity system in Great Britain.
Maintained by Kasia Kulma. Last updated 2 years ago.
carbon-apicarbon-emissionscarbon-intensityclimate-changehacktoberfest
0.8 match 9 stars 4.65 score 7 scriptscran
BayesCR:Bayesian Analysis of Censored Regression Models Under Scale Mixture of Skew Normal Distributions
Propose a parametric fit for censored linear regression models based on SMSN distributions, from a Bayesian perspective. Also, generates SMSN random variables.
Maintained by Aldo M. Garay. Last updated 8 years ago.
3.6 match 1.00 score
hopfkons
ResidentialEnergyConsumption:Residential Energy Consumption Data
Datasets with energy consumption data of different data measurement frequencies. The data stems from several publicly funded research projects of the Chair of Information Systems and Energy Efficient Systems at the University of Bamberg.
Maintained by Konstantin Hopf. Last updated 4 years ago.
3.4 match 1.00 scorerte-antares-rpackage
antaresProcessing:'Antares' Results Processing
Process results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). This package provides functions to create new columns like net load, load factors, upward and downward margins or to compute aggregated statistics like economic surpluses of consumers, producers and sectors.
Maintained by Tatiana Vargas. Last updated 3 months ago.
infrastructuredataimportadequacyantaresbilandatatableenergylinear-algebramarginsmonte-carlo-simulationoptimizationprevisionnelrtesimulationsurplustyndp
0.5 match 8 stars 6.70 score 35 scripts 1 dependents
utiligize
CNAIM:Common Network Asset Indices Methodology (CNAIM)
Implementation of the CNAIM standard in R. Contains a series of algorithms which determine the probability of failure, consequences of failure and monetary risk associated with electricity distribution companies' assets such as transformers and cables. Results are visualized in an easy-to-understand risk matrix.
Maintained by Mohsin Vindhani. Last updated 3 years ago.
0.5 match 5 stars 6.17 score 85 scripts
sleire
etrm:Energy Trading and Risk Management
Provides a collection of functions to perform core tasks within Energy Trading and Risk Management (ETRM). Calculation of maximum smoothness forward price curves for electricity and natural gas contracts with flow delivery, as presented in F. E. Benth, S. Koekebakker, and F. Ollmar (2007) <doi:10.3905/jod.2007.694791> and F. E. Benth, J. S. Benth, and S. Koekebakker (2008) <doi:10.1142/6811>. Portfolio insurance trading strategies for price risk management in the forward market, see F. Black (1976) <doi:10.1016/0304-405X(76)90024-6>, T. Bjork (2009) <https://EconPapers.repec.org/RePEc:oxp:obooks:9780199574742>, F. Black and R. W. Jones (1987) <doi:10.3905/jpm.1987.409131> and H. E. Leland (1980) <http://www.jstor.org/stable/2327419>.
Maintained by Anders D. Sleire. Last updated 2 years ago.
commoditiesenergy-tradingrisk-managementtrading-strategies
0.5 match 33 stars 5.52 score 10 scripts
pepijn-devries
ggfields:Add Vector Field Layers to Ggplots
Add vector field layers to ggplots. Ideal for visualising wind speeds, water currents, electric/magnetic fields, etc. Accepts data.frames, simple features (sf), and spatiotemporal arrays (stars) objects as input. Vector fields are depicted as arrows starting at specified locations, and with specified angles and radii.
Maintained by Pepijn de Vries. Last updated 8 months ago.
0.5 match 4 stars 5.16 score 12 scripts
bioc
RTCA:Open-source toolkit to analyse data from xCELLigence System (RTCA)
Import, analyze and visualize data from Roche(R) xCELLigence RTCA systems. The package imports real-time cell electrical impedance data into R. As an alternative to commercial software shipped along the system, the Bioconductor package RTCA provides several unique transformation (normalization) strategies and various visualization tools.
Maintained by Jitao David Zhang. Last updated 5 months ago.
immunooncologycellbasedassaysinfrastructurevisualizationtimecourse
0.5 match 4.60 score 4 scripts
ericksuhel
XRSCC:Statistical Quality Control Simulation
This is a set of statistical quality control functions, that allows plotting control charts and its iterations, process capability for variable and attribute control, highlighting the xrs_gr() function, like a first iteration for variable chart, meanwhile the we_rules() function detects non random patterns in sample.
Maintained by Erick Marroquin. Last updated 3 months ago.
1.7 match 1.34 score 22 scriptsrte-antares-rpackage
spMaps:Europe SpatialPolygonsDataFrame Builder
Build custom Europe SpatialPolygonsDataFrame, if you don't know what is a SpatialPolygonsDataFrame see SpatialPolygons() in 'sp', by example for mapLayout() in 'antaresViz'. Antares is a powerful software developed by RTE to simulate and study electric power systems (more information about 'Antares' here: <https://antares-simulator.org/>).
Maintained by Tatiana Vargas. Last updated 2 months ago.
mapsrtespatialpolygonsspatialpolygonsdataframe
0.5 match 1 stars 3.88 score 6 scripts 1 dependents
imranshakoor
DataSetsUni:A Collection of Univariate Data Sets
A collection of widely used univariate data sets of various applied domains on applications of distribution theory. The functions allow researchers and practitioners to quickly, easily, and efficiently access and use these data sets. The data are related to different applied domains and as follows: Bio-medical, survival analysis, medicine, reliability analysis, hydrology, actuarial science, operational research, meteorology, extreme values, quality control, engineering, finance, sports and economics. The total 100 data sets are documented along with associated references for further details and uses.
Maintained by Muhammad Imran. Last updated 2 years ago.
1.8 match 1.00 score 1 scripts
ninalty
HEDA:'Hydropeaking Events Detection Algorithm'
This tool identifies hydropeaking events from raw time-series flow record, a rapid flow variation induced by the hourly-adjusted electricity market. The novelty of 'HEDA' is to use vector angle instead of the first-order derivative to detect change points which not only largely improves the computing efficiency but also accounts for the rate of change of the flow variation. More details <doi:10.1016/j.jhydrol.2021.126392>.
Maintained by Tingyu Li. Last updated 4 years ago.
0.5 match 1.00 scorehopfkons
SmartMeterAnalytics:Methods for Smart Meter Data Analysis
Methods for analysis of energy consumption data (electricity, gas, water) at different data measurement intervals. The package provides feature extraction methods and algorithms to prepare data for data mining and machine learning applications. Deatiled descriptions of the methods and their application can be found in Hopf (2019, ISBN:978-3-86309-669-4) "Predictive Analytics for Energy Efficiency and Energy Retailing" <doi:10.20378/irbo-54833> and Hopf et al. (2016) <doi:10.1007/s12525-018-0290-9> "Enhancing energy efficiency in the residential sector with smart meter data analytics".
Maintained by Konstantin Hopf. Last updated 5 years ago.
0.5 match 1.00 score