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sticsrpacks

SticsRFiles:Read and Modify 'STICS' Input/Output Files

Manipulating input and output files of the 'STICS' crop model. Files are either 'JavaSTICS' XML files or text files used by the model 'fortran' executable. Most basic functionalities are reading or writing parameter names and values in both XML or text input files, and getting data from output files. Advanced functionalities include XML files generation from XML templates and/or spreadsheets, or text files generation from XML files by using 'xslt' transformation.

Maintained by Patrice Lecharpentier. Last updated 1 months ago.

4 stars 8.21 score 124 scripts

ropensci

FedData:Download Geospatial Data Available from Several Federated Data Sources

Download geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from nine datasets: The National Elevation Dataset digital elevation models (<https://www.usgs.gov/3d-elevation-program> 1 and 1/3 arc-second; USGS); The National Hydrography Dataset (<https://www.usgs.gov/national-hydrography/national-hydrography-dataset>; USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (<https://websoilsurvey.sc.egov.usda.gov/>; NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>; GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 4, available from the Oak Ridge National Laboratory's Distributed Active Archive Center (<https://daymet.ornl.gov/>; DAAC); the International Tree Ring Data Bank; the National Land Cover Database (<https://www.mrlc.gov/>; NLCD); the Cropland Data Layer from the National Agricultural Statistics Service (<https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>; NASS); and the PAD-US dataset of protected area boundaries (<https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview>; USGS).

Maintained by R. Kyle Bocinsky. Last updated 4 months ago.

peer-reviewed

100 stars 8.20 score 364 scripts

tidy-finance

tidyfinance:Tidy Finance Helper Functions

Helper functions for empirical research in financial economics, addressing a variety of topics covered in Scheuch, Voigt, and Weiss (2023) <doi:10.1201/b23237>. The package is designed to provide shortcuts for issues extensively discussed in the book, facilitating easier application of its concepts. For more information and resources related to the book, visit <https://www.tidy-finance.org/r/index.html>.

Maintained by Christoph Scheuch. Last updated 3 months ago.

finance

15 stars 7.48 score 24 scripts

bodkan

admixr:An Interface for Running 'ADMIXTOOLS' Analyses

An interface for performing all stages of 'ADMIXTOOLS' analyses (<https://reich.hms.harvard.edu/software>) entirely from R. Wrapper functions (D, f4, f3, etc.) completely automate the generation of intermediate configuration files, run 'ADMIXTOOLS' programs on the command-line, and parse output files to extract values of interest. This allows users to focus on the analysis itself instead of worrying about low-level technical details. A set of complementary functions for processing and filtering of data in the 'EIGENSTRAT' format is also provided.

Maintained by Martin Petr. Last updated 1 months ago.

bioinformaticspopgenpopulation-genetics

29 stars 7.42 score 91 scripts

niehs

amadeus:Accessing and Analyzing Large-Scale Environmental Data

Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.

Maintained by Kyle Messier. Last updated 1 months ago.

8 stars 7.07 score 13 scripts

loelschlaeger

fHMM:Fitting Hidden Markov Models to Financial Data

Fitting (hierarchical) hidden Markov models to financial data via maximum likelihood estimation. See Oelschläger, L. and Adam, T. "Detecting Bearish and Bullish Markets in Financial Time Series Using Hierarchical Hidden Markov Models" (2021, Statistical Modelling) <doi:10.1177/1471082X211034048> for a reference on the method. A user guide is provided by the accompanying software paper "fHMM: Hidden Markov Models for Financial Time Series in R", Oelschläger, L., Adam, T., and Michels, R. (2024, Journal of Statistical Software) <doi:10.18637/jss.v109.i09>.

Maintained by Lennart Oelschläger. Last updated 7 days ago.

financehidden-markov-modelscppopenmp

17 stars 7.04 score 5 scripts

mirovago

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 4 months ago.

10 stars 6.79 score 69 scripts 1 dependents

bioc

autonomics:Unified Statistical Modeling of Omics Data

This package unifies access to Statistal Modeling of Omics Data. Across linear modeling engines (lm, lme, lmer, limma, and wilcoxon). Across coding systems (treatment, difference, deviation, etc). Across model formulae (with/without intercept, random effect, interaction or nesting). Across omics platforms (microarray, rnaseq, msproteomics, affinity proteomics, metabolomics). Across projection methods (pca, pls, sma, lda, spls, opls). Across clustering methods (hclust, pam, cmeans). It provides a fast enrichment analysis implementation. And an intuitive contrastogram visualisation to summarize contrast effects in complex designs.

Maintained by Aditya Bhagwat. Last updated 2 months ago.

softwaredataimportpreprocessingdimensionreductionprincipalcomponentregressiondifferentialexpressiongenesetenrichmenttranscriptomicstranscriptiongeneexpressionrnaseqmicroarrayproteomicsmetabolomicsmassspectrometry

5.89 score 5 scripts

akbarr1184

evapoRe:Evapotranspiration R Recipes

An R-based application for exploratory data analysis of global EvapoTranspiration (ET) datasets. 'evapoRe' enables users to download, validate, visualize, and analyze multi-source ET data across various spatio-temporal scales. Also, the package offers calculation methods for estimating potential ET (PET), including temperature-based approaches described in : Oudin et al., (2005) <doi:10.1016/j.jhydrol.2004.08.026>. 'evapoRe' supports hydrological modeling, climate studies, agricultural research, and other data-driven fields by facilitating access to ET data and offering powerful analysis capabilities. Users can seamlessly integrate the package into their research applications and explore diverse ET data at different resolutions.

Maintained by Akbar Rahmati Ziveh. Last updated 3 days ago.

1 stars 4.70 score 5 scripts

hong-kong-districts-info

hkdatasets:Datasets Related to Hong Kong

Datasets related to Hong Kong, including information on the 2019 elected District Councillors (<https://www.districtcouncils.gov.hk> and <https://dce2019.hk01.com/>) and traffic collision data from the Hong Kong Department of Transport (<https://www.td.gov.hk/>). All of the data in this package is available in the public domain.

Maintained by Martin Chan. Last updated 4 years ago.

datasethong-kong

18 stars 4.69 score 27 scripts

hughparsonage

grattanInflators:Inflators for Australian Policy Analysis

Using Australian Bureau of Statistics indices, provides functions that convert historical, nominal statistics to real, contemporary values without worrying about date input quality, performance, or the ABS catalogue.

Maintained by Hugh Parsonage. Last updated 3 months ago.

openmp

2 stars 4.26 score 6 scripts 1 dependents

nan-z-byte

rIACI:Iberian Actuarial Climate Index Calculations for R

Provides functions to calculate the Iberian Climate Index (IACI) and its components, including temperature, precipitation, wind power, and sea level data. Designed to support climate change analysis and risk assessment.

Maintained by Nan Zhou. Last updated 23 days ago.

cpp

4.18 score

forestgeo

fgeo.x:Access Small ForestGEO Datasets For Examples

Access small example datasets from Luquillo, a ForestGEO site in Puerto Rico (<https://forestgeo.si.edu/sites/north-america/luquillo>).

Maintained by Mauro Lepore. Last updated 6 years ago.

1 stars 3.56 score 24 scripts 1 dependents

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