Showing 26 of total 26 results (show query)
nandp1
nser:Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India
Download Current & Historical Bhavcopy. Get Live Market data from NSE India of Equities and Derivatives (F&O) segment. Data source <https://www.nseindia.com/>.
Maintained by Nandan Patil. Last updated 4 months ago.
bhavbhavcopybhavcopy-downloaderfinancial-datamarket-datanational-stock-exchangensense-stock-dataoption-pricingoptionchainrseleniumstock-prices
56.0 match 8 stars 7.61 score 76 scriptskeblu
nse:Numerical Standard Errors Computation in R
Collection of functions designed to calculate numerical standard error (NSE) of univariate time series as described in Ardia et al. (2018) <doi:10.1515/jtse-2017-0011> and Ardia and Bluteau (2017) <doi:10.21105/joss.00172>.
Maintained by Keven Bluteau. Last updated 2 years ago.
84.0 match 3.56 score 12 scripts 1 dependentshzambran
hydroGOF:Goodness-of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series
S3 functions implementing both statistical and graphical goodness-of-fit measures between observed and simulated values, mainly oriented to be used during the calibration, validation, and application of hydrological models. Missing values in observed and/or simulated values can be removed before computations. Comments / questions / collaboration of any kind are very welcomed.
Maintained by Mauricio Zambrano-Bigiarini. Last updated 10 months ago.
13.4 match 40 stars 10.29 score 796 scripts 8 dependentsbrodieg
oshka:Recursive Quoted Language Expansion
Expands quoted language by recursively replacing any symbol that points to quoted language with the language it points to. The recursive process continues until only symbols that point to non-language objects remain. The resulting quoted language can then be evaluated normally. This differs from the traditional 'quote'/'eval' pattern because it resolves intermediate language objects that would interfere with evaluation.
Maintained by Brodie Gaslam. Last updated 7 years ago.
10.8 match 14 stars 5.15 score 9 scriptshadley
lazyeval:Lazy (Non-Standard) Evaluation
An alternative approach to non-standard evaluation using formulas. Provides a full implementation of LISP style 'quasiquotation', making it easier to generate code with other code.
Maintained by Hadley Wickham. Last updated 3 years ago.
3.1 match 131 stars 15.74 score 520 scripts 1.8k dependentsinsightsengineering
teal.modules.clinical:'teal' Modules for Standard Clinical Outputs
Provides user-friendly tools for creating and customizing clinical trial reports. By leveraging the 'teal' framework, this package provides 'teal' modules to easily create an interactive panel that allows for seamless adjustments to data presentation, thereby streamlining the creation of detailed and accurate reports.
Maintained by Dawid Kaledkowski. Last updated 17 days ago.
clinical-trialsmodulesnestoutputsshiny
4.6 match 34 stars 10.25 score 149 scriptssnoweye
cubfits:Codon Usage Bias Fits
Estimating mutation and selection coefficients on synonymous codon bias usage based on models of ribosome overhead cost (ROC). Multinomial logistic regression and Markov Chain Monte Carlo are used to estimate and predict protein production rates with/without the presence of expressions and measurement errors. Work flows with examples for simulation, estimation and prediction processes are also provided with parallelization speedup. The whole framework is tested with yeast genome and gene expression data of Yassour, et al. (2009) <doi:10.1073/pnas.0812841106>.
Maintained by Wei-Chen Chen. Last updated 3 years ago.
6.5 match 7 stars 4.83 score 32 scriptsbrry
berryFunctions:Function Collection Related to Plotting and Hydrology
Draw horizontal histograms, color scattered points by 3rd dimension, enhance date- and log-axis plots, zoom in X11 graphics, trace errors and warnings, use the unit hydrograph in a linear storage cascade, convert lists to data.frames and arrays, fit multiple functions.
Maintained by Berry Boessenkool. Last updated 1 months ago.
3.3 match 13 stars 9.43 score 350 scripts 16 dependentsrcapell
HYPEtools:Tools for Processing and Analyzing Files from the Hydrological Catchment Model HYPE
Work with model files (setup, input, output) from the hydrological catchment model HYPE: Streamlined file import and export, standard evaluation plot routines, diverse post-processing and aggregation routines for hydrological model analysis. The HYPEtools package is also archived at <doi:10.5281/zenodo.7627955> and can be cited in publications with Brendel et al. (2024) <doi:10.1016/j.envsoft.2024.106094>.
Maintained by Rene Capell. Last updated 27 days ago.
3.3 match 17 stars 7.54 score 26 scriptsthomasp85
ggraph:An Implementation of Grammar of Graphics for Graphs and Networks
The grammar of graphics as implemented in ggplot2 is a poor fit for graph and network visualizations due to its reliance on tabular data input. ggraph is an extension of the ggplot2 API tailored to graph visualizations and provides the same flexible approach to building up plots layer by layer.
Maintained by Thomas Lin Pedersen. Last updated 1 years ago.
ggplot-extensionggplot2graph-visualizationnetwork-visualizationvisualizationcpp
1.3 match 1.1k stars 16.96 score 9.2k scripts 111 dependentsmirovago
pRecipe:Precipitation R Recipes
An open-access tool/framework to download, validate, visualize, and analyze multi-source precipitation data. More information and an example of implementation can be found in Vargas Godoy and Markonis (2023, <doi:10.1016/j.envsoft.2023.105711>).
Maintained by Mijael Rodrigo Vargas Godoy. Last updated 3 months ago.
3.3 match 10 stars 6.79 score 69 scripts 1 dependentsgrunwaldlab
metacoder:Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data
Reads, plots, and manipulates large taxonomic data sets, like those generated from modern high-throughput sequencing, such as metabarcoding (i.e. amplification metagenomics, 16S metagenomics, etc). It provides a tree-based visualization called "heat trees" used to depict statistics for every taxon in a taxonomy using color and size. It also provides various functions to do common tasks in microbiome bioinformatics on data in the 'taxmap' format defined by the 'taxa' package. The 'metacoder' package is described in the publication by Foster et al. (2017) <doi:10.1371/journal.pcbi.1005404>.
Maintained by Zachary Foster. Last updated 1 months ago.
community-diversityhierarchicalmetabarcodingpcrtaxonomytreescpp
1.9 match 140 stars 9.64 score 328 scriptsullid
SoilHyP:Soil Hydraulic Properties
Provides functions for (1) soil water retention (SWC) and unsaturated hydraulic conductivity (Ku) (van Genuchten-Mualem (vGM or vG) [1, 2], Peters-Durner-Iden (PDI) [3, 4, 5], Brooks and Corey (bc) [8]), (2) fitting of parameter for SWC and/or Ku using Shuffled Complex Evolution (SCE) optimisation and (3) calculation of soil hydraulic properties (Ku and soil water contents) based on the simplified evaporation method (SEM) [6, 7]. Main references: [1] van Genuchten (1980) <doi:10.2136/sssaj1980.03615995004400050002x>, [2] Mualem (1976) <doi:10.1029/WR012i003p00513>, [3] Peters (2013) <doi:10.1002/wrcr.20548>, [4] Iden and Durner (2013) <doi:10.1002/2014WR015937>, [5] Peters (2014) <doi:10.1002/2014WR015937>, [6] Wind G. P. (1966), [7] Peters and Durner (2008) <doi:10.1016/j.jhydrol.2008.04.016> and [8] Brooks and Corey (1964).
Maintained by Ullrich Dettmann. Last updated 2 years ago.
5.2 match 3.32 score 35 scripts 2 dependentscritical-infrastructure-systems-lab
ldsr:Linear Dynamical System Reconstruction
Streamflow (and climate) reconstruction using Linear Dynamical Systems. The advantage of this method is the additional state trajectory which can reveal more information about the catchment or climate system. For details of the method please refer to Nguyen and Galelli (2018) <doi:10.1002/2017WR022114>.
Maintained by Hung Nguyen. Last updated 5 years ago.
expectation-maximization-algorithmhydrologykalman-smootherlinear-dynamical-systemspaleoclimateopenblascppopenmp
3.3 match 8 stars 4.86 score 18 scriptscritical-infrastructure-systems-lab
mbr:Mass Balance Reconstruction
Mass-balance-adjusted Regression algorithm for streamflow reconstruction at sub-annual resolution (e.g., seasonal or monthly). The algorithm implements a penalty term to minimize the differences between the total sub-annual flows and the annual flow. The method is described in Nguyen et al (2020) <DOI:10.1002/essoar.10504791.1>.
Maintained by Hung Nguyen. Last updated 4 years ago.
3.3 match 1 stars 3.78 score 12 scriptscran
airGR:Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and melt model (CemaNeige) and the associated functions for the calibration and evaluation of models are also included. Use help(airGR) for package description and references.
Maintained by Olivier Delaigue. Last updated 1 years ago.
1.8 match 4 stars 6.60 score 164 scripts 4 dependentsimarkonis
twc:Terrestrial Water Cycle
An open-access tool/framework that constitutes the core functions to analyze terrestrial water cycle data across various spatio-temporal scales.
Maintained by Mijael Rodrigo Vargas Godoy. Last updated 3 months ago.
3.3 match 3.48 score 2 scripts 2 dependentsnbenn
prt:Tabular Data Backed by Partitioned 'fst' Files
Intended for larger-than-memory tabular data, 'prt' objects provide an interface to read row and/or column subsets into memory as data.table objects. Data queries, constructed as 'R' expressions, are evaluated using the non-standard evaluation framework provided by 'rlang' and file-backing is powered by the fast and efficient 'fst' package.
Maintained by Nicolas Bennett. Last updated 2 years ago.
2.3 match 6 stars 4.95 score 5 scripts 1 dependentsdbosak01
common:Solutions for Common Problems in Base R
Contains functions for solving commonly encountered problems while programming in R. This package is intended to provide a lightweight supplement to Base R, and will be useful for almost any R user.
Maintained by David Bosak. Last updated 12 months ago.
1.3 match 6 stars 8.21 score 193 scripts 11 dependentshristostyr
scoringfunctions:A Collection of Loss Functions for Assessing Point Forecasts
Implements multiple consistent scoring functions (Gneiting T (2011) <doi:10.1198/jasa.2011.r10138>) for assessing point forecasts and point predictions. Detailed documentation of scoring functions' properties is included for facilitating interpretation of results.
Maintained by Hristos Tyralis. Last updated 14 days ago.
5.2 match 1 stars 1.48 scoreiembry
ie2misc:Irucka Embry's Miscellaneous USGS Functions
A collection of Irucka Embry's miscellaneous USGS functions (processing .exp and .psf files, statistical error functions, "+" dyadic operator for use with NA, creating ADAPS and QW spreadsheet files, calculating saturated enthalpy). Irucka created these functions while a Cherokee Nation Technology Solutions (CNTS) United States Geological Survey (USGS) Contractor and/or USGS employee.
Maintained by Irucka Embry. Last updated 1 years ago.
1.8 match 3.43 score 54 scriptskwb-r
kwb.hantush:Calculation of Groundwater Mounding Beneath an Infiltration Basin
Calculation groundwater mounding beneath an infiltration basin based on the Hantush (1967) equation (<doi:10.1029/WR003i001p00227>). The correct implementation is shown with a verification example based on a USGS report (page 25, <https://pubs.usgs.gov/sir/2010/5102/support/sir2010-5102.pdf#page=35>).
Maintained by Michael Rustler. Last updated 5 years ago.
groundwater-modellinggroundwater-moundinginfiltration-basinmodellingproject-demeaushiny-app
1.6 match 3.00 score 10 scriptscpenn-usgs
HyMETT:Hydrologic Model Evaluation and Time-Series Tools
Facilitates the analysis and evaluation of hydrologic model output and time-series data with functions focused on comparison of modeled (simulated) and observed data, period-of-record statistics, and trends.
Maintained by Colin Penn. Last updated 7 months ago.
1.8 match 2.00 scoresandipgarai
AllMetrics:Calculating Multiple Performance Metrics of a Prediction Model
Provides a function to calculate multiple performance metrics for actual and predicted values. In total eight metrics will be calculated for particular actual and predicted series. Helps to describe a Statistical model's performance in predicting a data. Also helps to compare various models' performance. The metrics are Root Mean Squared Error (RMSE), Relative Root Mean Squared Error (RRMSE), Mean absolute Error (MAE), Mean absolute percentage error (MAPE), Mean Absolute Scaled Error (MASE), Nash-Sutcliffe Efficiency (NSE), Willmott’s Index (WI), and Legates and McCabe Index (LME). Among them, first five are expected to be lesser whereas, the last three are greater the better. More details can be found from Garai and Paul (2023) <doi:10.1016/j.iswa.2023.200202> and Garai et al. (2024) <doi:10.1007/s11063-024-11552-w>.
Maintained by Dr. Sandip Garai. Last updated 1 years ago.
0.5 match 1.78 score 2 dependents