Showing 40 of total 40 results (show query)
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 5 days ago.
12.5 match 146 stars 15.42 score 4.2k scripts 18 dependentsf-silva-archaeo
skyscapeR:Data Analysis and Visualization for Skyscape Archaeology
Data reduction, visualization and statistical analysis of measurements of orientation of archaeological structures, following Silva (2020) <doi:10.1016/j.jas.2020.105138>.
Maintained by Silva Fabio. Last updated 6 months ago.
35.4 match 5 stars 5.31 score 41 scriptsderrickturk
aRpsDCA:Arps Decline Curve Analysis in R
Functions for Arps decline-curve analysis on oil and gas data. Includes exponential, hyperbolic, harmonic, and hyperbolic-to-exponential models as well as the preceding with initial curtailment or a period of linear rate buildup. Functions included for computing rate, cumulative production, instantaneous decline, EUR, time to economic limit, and performing least-squares best fits.
Maintained by Derrick Turk. Last updated 8 years ago.
decline-curve-analysispetroleumpetroleum-engineering
38.5 match 35 stars 4.73 score 31 scriptsjasenfinch
pdi:Phenotypic Index Measures for Oak Decline Severity
Oak declines are complex disease syndromes and consist of many visual indicators that include aspects of tree size, crown condition and trunk condition. This can cause difficulty in the manual classification of symptomatic and non-symptomatic trees from what is in reality a broad spectrum of oak tree health condition. Two phenotypic oak decline indexes have been developed to quantitatively describe and differentiate oak decline syndromes in Quercus robur. This package provides a toolkit to generate these decline indexes from phenotypic descriptors using the machine learning algorithm random forest. The methodology for generating these indexes is outlined in Finch et al. (2121) <doi:10.1016/j.foreco.2021.118948>.
Maintained by Jasen Finch. Last updated 4 years ago.
18.8 match 3.70 score 3 scriptsalarm-redist
redistmetrics:Redistricting Metrics
Reliable and flexible tools for scoring redistricting plans using common measures and metrics. These functions provide key direct access to tools useful for non-simulation analyses of redistricting plans, such as for measuring compactness or partisan fairness. Tools are designed to work with the 'redist' package seamlessly.
Maintained by Christopher T. Kenny. Last updated 10 months ago.
7.8 match 10 stars 7.57 score 23 scripts 2 dependentscran
zetadiv:Functions to Compute Compositional Turnover Using Zeta Diversity
Functions to compute compositional turnover using zeta-diversity, the number of species shared by multiple assemblages. The package includes functions to compute zeta-diversity for a specific number of assemblages and to compute zeta-diversity for a range of numbers of assemblages. It also includes functions to explain how zeta-diversity varies with distance and with differences in environmental variables between assemblages, using generalised linear models, linear models with negative constraints, generalised additive models,shape constrained additive models, and I-splines.
Maintained by Guillaume Latombe. Last updated 3 years ago.
11.5 match 3 stars 2.89 score 64 scriptsr-forge
Sleuth3:Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd Ed)"
Data sets from Ramsey, F.L. and Schafer, D.W. (2013), "The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed)", Cengage Learning.
Maintained by Berwin A Turlach. Last updated 1 years ago.
4.0 match 6.38 score 522 scriptsbbcrown
solrad:Calculating Solar Radiation and Related Variables Based on Location, Time and Topographical Conditions
For surface energy models and estimation of solar positions and components with varying topography, time and locations. The functions calculate solar top-of-atmosphere, open, diffuse and direct components, atmospheric transmittance and diffuse factors, day length, sunrise and sunset, solar azimuth, zenith, altitude, incidence, and hour angles, earth declination angle, equation of time, and solar constant. Details about the methods and equations are explained in Seyednasrollah, Bijan, Mukesh Kumar, and Timothy E. Link. 'On the role of vegetation density on net snow cover radiation at the forest floor.' Journal of Geophysical Research: Atmospheres 118.15 (2013): 8359-8374, <doi:10.1002/jgrd.50575>.
Maintained by Bijan Seyednasrollah. Last updated 6 years ago.
5.8 match 10 stars 4.32 score 42 scriptsr-forge
Sleuth2:Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"
Data sets from Ramsey, F.L. and Schafer, D.W. (2002), "The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed)", Duxbury.
Maintained by Berwin A Turlach. Last updated 1 years ago.
4.0 match 5.70 score 191 scriptstjheaton
carbondate:Calibration and Summarisation of Radiocarbon Dates
Performs Bayesian non-parametric calibration of multiple related radiocarbon determinations, and summarises the calendar age information to plot their joint calendar age density (see Heaton (2022) <doi:10.1111/rssc.12599>). Also models the occurrence of radiocarbon samples as a variable-rate (inhomogeneous) Poisson process, plotting the posterior estimate for the occurrence rate of the samples over calendar time, and providing information about potential change points.
Maintained by Timothy J Heaton. Last updated 2 months ago.
3.3 match 5 stars 5.78 score 20 scriptsfelixfan
FinCal:Time Value of Money, Time Series Analysis and Computational Finance
Package for time value of money calculation, time series analysis and computational finance.
Maintained by Felix Yanhui Fan. Last updated 8 years ago.
3.0 match 23 stars 6.02 score 203 scripts 1 dependentsaariq
bumbl:Tools for Modeling Bumblebee Colony Growth and Decline
Bumblebee colonies grow during worker production, then decline after switching to production of reproductive individuals (drones and gynes). This package provides tools for modeling and visualizing this pattern by identifying a switchpoint with a growth rate before and a decline rate after the switchpoint. The mathematical models fit by bumbl are described in Crone and Williams (2016) <doi:10.1111/ele.12581>.
Maintained by Eric R. Scott. Last updated 2 years ago.
bumblebeedemographyglmswitchpoint
3.7 match 3 stars 4.48 score 8 scriptsfemiguez
nlraa:Nonlinear Regression for Agricultural Applications
Additional nonlinear regression functions using self-start (SS) algorithms. One of the functions is the Beta growth function proposed by Yin et al. (2003) <doi:10.1093/aob/mcg029>. There are several other functions with breakpoints (e.g. linear-plateau, plateau-linear, exponential-plateau, plateau-exponential, quadratic-plateau, plateau-quadratic and bilinear), a non-rectangular hyperbola and a bell-shaped curve. Twenty eight (28) new self-start (SS) functions in total. This package also supports the publication 'Nonlinear regression Models and applications in agricultural research' by Archontoulis and Miguez (2015) <doi:10.2134/agronj2012.0506>, a book chapter with similar material <doi:10.2134/appliedstatistics.2016.0003.c15> and a publication by Oddi et. al. (2019) in Ecology and Evolution <doi:10.1002/ece3.5543>. The function 'nlsLMList' uses 'nlsLM' for fitting, but it is otherwise almost identical to 'nlme::nlsList'.In addition, this release of the package provides functions for conducting simulations for 'nlme' and 'gnls' objects as well as bootstrapping. These functions are intended to work with the modeling framework of the 'nlme' package. It also provides four vignettes with extended examples.
Maintained by Fernando Miguez. Last updated 10 months ago.
agriculturalecologynonlinear-mixed-modelsnonlinear-regression
1.8 match 23 stars 8.19 score 112 scripts 2 dependentsjranke
pfm:Utilities for Pesticide Fate Modelling
Utilities for simple calculations of predicted environmental concentrations ('PEC' values) and for dealing with data from some FOCUS pesticide fate modelling software packages.
Maintained by Johannes Ranke. Last updated 1 months ago.
5.3 match 1 stars 2.74 score 11 scriptstrenchproject
TrenchR:Tools for Microclimate and Biophysical Ecology
Tools for translating environmental change into organismal response. Microclimate models to vertically scale weather station data to organismal heights. The biophysical modeling tools include both general models for heat flows and specific models to predict body temperatures for a variety of ectothermic taxa. Additional functions model and temporally partition air and soil temperatures and solar radiation. Utility functions estimate the organismal and environmental parameters needed for biophysical ecology. 'TrenchR' focuses on relatively simple and modular functions so users can create transparent and flexible biophysical models. Many functions are derived from Gates (1980) <doi:10.1007/978-1-4612-6024-0> and Campbell and Norman (1988) <isbn:9780387949376>.
Maintained by Lauren Buckley. Last updated 1 years ago.
2.0 match 13 stars 6.89 score 43 scriptshanase
MortCast:Estimation and Projection of Age-Specific Mortality Rates
Age-specific mortality rates are estimated and projected using the Kannisto, Lee-Carter and related methods as described in Sevcikova et al. (2016) <doi:10.1007/978-3-319-26603-9_15>.
Maintained by Hana Sevcikova. Last updated 4 months ago.
7.3 match 1.71 score 17 scripts 1 dependentsstatgenlmu
coala:A Framework for Coalescent Simulation
Coalescent simulators can rapidly simulate biological sequences evolving according to a given model of evolution. You can use this package to specify such models, to conduct the simulations and to calculate additional statistics from the results (Staab, Metzler, 2016 <doi:10.1093/bioinformatics/btw098>). It relies on existing simulators for doing the simulation, and currently supports the programs 'ms', 'msms' and 'scrm'. It also supports finite-sites mutation models by combining the simulators with the program 'seq-gen'. Coala provides functions for calculating certain summary statistics, which can also be applied to actual biological data. One possibility to import data is through the 'PopGenome' package (<https://github.com/pievos101/PopGenome>).
Maintained by Dirk Metzler. Last updated 1 years ago.
coalescentdnaevolutionpopgensimulationcpp
1.8 match 23 stars 7.06 score 84 scriptssolarization
solaR2:Radiation and Photovoltaic Systems
Provides tools for calculating solar geometry, solar radiation on horizontal and inclined planes, and simulating the performance of various photovoltaic (PV) systems. Supports daily and intradaily irradiation data, enabling detailed analysis of grid-connected and water-pumping PV systems, including shading effects and solar angle calculations.
Maintained by Francisco Delgado-López. Last updated 29 days ago.
3.0 match 1 stars 4.08 score 5 scriptsglobalecologylab
poems:Pattern-Oriented Ensemble Modeling System
A framework of interoperable R6 classes (Chang, 2020, <https://CRAN.R-project.org/package=R6>) for building ensembles of viable models via the pattern-oriented modeling (POM) approach (Grimm et al.,2005, <doi:10.1126/science.1116681>). The package includes classes for encapsulating and generating model parameters, and managing the POM workflow. The workflow includes: model setup; generating model parameters via Latin hyper-cube sampling (Iman & Conover, 1980, <doi:10.1080/03610928008827996>); running multiple sampled model simulations; collating summary results; and validating and selecting an ensemble of models that best match known patterns. By default, model validation and selection utilizes an approximate Bayesian computation (ABC) approach (Beaumont et al., 2002, <doi:10.1093/genetics/162.4.2025>), although alternative user-defined functionality could be employed. The package includes a spatially explicit demographic population model simulation engine, which incorporates default functionality for density dependence, correlated environmental stochasticity, stage-based transitions, and distance-based dispersal. The user may customize the simulator by defining functionality for translocations, harvesting, mortality, and other processes, as well as defining the sequence order for the simulator processes. The framework could also be adapted for use with other model simulators by utilizing its extendable (inheritable) base classes.
Maintained by July Pilowsky. Last updated 24 days ago.
biogeographypopulation-modelprocess-based
1.5 match 10 stars 8.05 score 59 scripts 2 dependentskjhealy
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.
3.6 match 2.28 score 38 scriptsegnha
valaddin:Functional Input Validation
A set of basic tools to transform functions into functions with input validation checks, in a manner suitable for both programmatic and interactive use.
Maintained by Eugene Ha. Last updated 1 years ago.
data-validationinput-validationtype-safety
1.5 match 33 stars 5.39 score 15 scriptsarneschoch811
OscillatorGenerator:Generation of Customizable, Discretized Time Series of Oscillating Species
The supplied code allows for the generation of discrete time series of oscillating species. General shapes can be selected by means of individual functions, which are widely customizable by means of function arguments. All code was developed in the Biological Information Processing Group at the BioQuant Center at Heidelberg University, Germany.
Maintained by Arne Schoch. Last updated 7 years ago.
7.0 match 1.00 score 7 scriptseriqande
CKMRpop:Forward-in-Time Simulation and Tallying of Pairwise Relationships
Provides an R wrapper around the program 'spip' (<https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1471-8286.2005.00884.x>), a C program for the simulation of pedigrees within age-structured populations with user-specified life histories. Also includes a variety of functions to parse 'spip' output to compile information about related pairs amongst simulated, sampled individuals, to assess the feasibility and potential accuracy of close-kin mark-recapture (CKMR). Full documentation and vignettes are mirrored at <https://eriqande.github.io/CKMRpop/index.html> and can be read online there.
Maintained by Eric C. Anderson. Last updated 1 years ago.
1.3 match 4 stars 5.38 score 24 scriptscran
Rramas:Matrix Population Models
Analyzes and predicts from matrix population models (Caswell 2006) <doi:10.1002/9781118445112.stat07481>.
Maintained by Marcelino de la Cruz. Last updated 6 years ago.
4.9 match 1.00 scoremfacevedol
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.
3.0 match 1.48 score 30 scriptsliumiguo
simET:Tools for Simulation of Evapotranspiration of Field Crops and Soil Water Balance
Supports the calculation of meteorological characteristics in evapotranspiration research and reference crop evapotranspiration, and offers three models to simulate crop evapotranspiration and soil water balance in the field, including single crop coefficient and dual crop coefficient, as well as the Shuttleworth-Wallace model. These calculations main refer to Allen et al.(1998, ISBN:92-5-104219-5), Teh (2006, ISBN:1-58-112-998-X), and Liu et al.(2006) <doi:10.1016/j.agwat.2006.01.018>.
Maintained by Minguo Liu. Last updated 2 years ago.
3.8 match 1.00 score 9 scriptssnstatcomp
rtrim:Trends and Indices for Monitoring Data
The TRIM model is widely used for estimating growth and decline of animal populations based on (possibly sparsely available) count data. The current package is a reimplementation of the original TRIM software developed at Statistics Netherlands by Jeroen Pannekoek. See <https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends%2d%2dtrim%2d%2d> for more information about TRIM.
Maintained by Patrick Bogaart. Last updated 15 days ago.
0.5 match 10 stars 7.33 score 60 scripts 1 dependentsaahani-r
FAO56:Evapotranspiration Based on FAO Penman-Monteith Equation
Calculation of Evapotranspiration by FAO Penman-Monteith equation based on Allen, R. G., Pereira, L. S., Raes, D., Smith, M. (1998, ISBN:92-5-104219-5) "Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56".
Maintained by Ali Ahani. Last updated 1 years ago.
2.0 match 1.70 score 2 scriptscran
purgeR:Inbreeding-Purging Estimation in Pedigreed Populations
Inbreeding-purging analysis of pedigreed populations, including the computation of the inbreeding coefficient, partial, ancestral and purged inbreeding coefficients, and measures of the opportunity of purging related to the individual reduction of inbreeding load. In addition, functions to calculate the effective population size and other parameters relevant to population genetics are included. See López-Cortegano E. (2021) <doi:10.1093/bioinformatics/btab599>.
Maintained by Eugenio López-Cortegano. Last updated 1 years ago.
1.3 match 2.41 score 13 scriptsullid
MeTo:Meteorological Tools
Meteorological Tools following the FAO56 irrigation paper of Allen et al. (1998) [1]. Functions for calculating: reference evapotranspiration (ETref), extraterrestrial radiation (Ra), net radiation (Rn), saturation vapor pressure (satVP), global radiation (Rs), soil heat flux (G), daylight hours, and more. [1] Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9).
Maintained by Ullrich Dettmann. Last updated 3 years ago.
2.3 match 1.18 score 15 scriptsxavi-rp
LPDynR:Land Productivity Dynamics Indicator
It uses 'phenological' and productivity-related variables derived from time series of vegetation indexes, such as the Normalized Difference Vegetation Index, to assess ecosystem dynamics and change, which eventually might drive to land degradation. The final result of the Land Productivity Dynamics indicator is a categorical map with 5 classes of land productivity dynamics, ranging from declining to increasing productivity. See www.sciencedirect.com/science/article/pii/S1470160X21010517/ for a description of the methods used in the package to calculate the indicator.
Maintained by Xavier Rotllan-Puig. Last updated 6 months ago.
copernicus-global-land-serviceearth-observationland-degradationland-productivityvegetation
0.5 match 8 stars 4.90 score 5 scriptssineadmorris
ushr:Understanding Suppression of HIV
Analyzes longitudinal data of HIV decline in patients on antiretroviral therapy using the canonical biphasic exponential decay model (pioneered, for example, by work in Perelson et al. (1997) <doi:10.1038/387188a0>; and Wu and Ding (1999) <doi:10.1111/j.0006-341X.1999.00410.x>). Model fitting and parameter estimation are performed, with additional options to calculate the time to viral suppression. Plotting and summary tools are also provided for fast assessment of model results.
Maintained by Sinead E. Morris. Last updated 5 years ago.
0.5 match 2 stars 4.04 score 11 scriptsmyaseen208
PakNAcc:'shiny' App for National Accounts
Provides a comprehensive suite of tools for analyzing Pakistan's Quarterly National Accounts data. Users can gain detailed insights into Pakistan's economic performance, visualize quarterly trends, and detect patterns and anomalies in key economic indicators. Compare sector contributions—including agriculture, industry, and services—to understand their influence on economic growth or decline. Customize analyses by filtering and manipulating data to focus on specific areas of interest. Ideal for policymakers, researchers, and analysts aiming to make informed, data-driven decisions based on timely and detailed economic insights.
Maintained by Muhammad Yaseen. Last updated 4 months ago.
0.5 match 3.00 scorecran
stpm:Stochastic Process Model for Analysis of Longitudinal and Time-to-Event Outcomes
Utilities to estimate parameters of the models with survival functions induced by stochastic covariates. Miscellaneous functions for data preparation and simulation are also provided. For more information, see: (i)"Stochastic model for analysis of longitudinal data on aging and mortality" by Yashin A. et al. (2007), Mathematical Biosciences, 208(2), 538-551, <DOI:10.1016/j.mbs.2006.11.006>; (ii) "Health decline, aging and mortality: how are they related?" by Yashin A. et al. (2007), Biogerontology 8(3), 291(302), <DOI:10.1007/s10522-006-9073-3>.
Maintained by Ilya Y. Zhbannikov. Last updated 3 years ago.
0.5 match 2.70 scorecran
LogisticRCI:Linear and Logistic Regression-Based Reliable Change Index
Here we provide an implementation of the linear and logistic regression-based Reliable Change Index (RCI), to be used with lm and binomial glm model objects, respectively, following Moral et al. <https://psyarxiv.com/gq7az/>. The RCI function returns a score assumed to be approximately normally distributed, which is helpful to detect patients that may present cognitive decline.
Maintained by Rafael de Andrade Moral. Last updated 3 years ago.
0.5 match 2.00 score