Showing 200 of total 2551 results (show query)

r-lib

ps:List, Query, Manipulate System Processes

List, query and manipulate all system processes, on 'Windows', 'Linux' and 'macOS'.

Maintained by Gรกbor Csรกrdi. Last updated 17 days ago.

33.4 match 79 stars 15.09 score 108 scripts 1.5k dependents

henrikbengtsson

R.utils:Various Programming Utilities

Utility functions useful when programming and developing R packages.

Maintained by Henrik Bengtsson. Last updated 1 years ago.

29.4 match 63 stars 13.74 score 5.7k scripts 814 dependents

miraisolutions

XLConnect:Excel Connector for R

Provides comprehensive functionality to read, write and format Excel data.

Maintained by Martin Studer. Last updated 19 days ago.

cross-platformexcelr-languagexlconnectopenjdk

25.2 match 130 stars 12.28 score 1.2k scripts 1 dependents

pedrocoutinhosilva

imola:CSS Layouts (Grid and Flexbox) Implementation for R/Shiny

Allows easy creation of CSS layouts (grid and flexbox) directly from R without added CSS.

Maintained by Pedro Silva. Last updated 1 years ago.

30.5 match 75 stars 6.94 score 33 scripts

flippiecoetser

Query:Write SQL Statements with ease

This package provides a set of utility functions to efficiently write SQL Statements: In essence converting R to SQL.

Maintained by Flippie Coetser. Last updated 1 years ago.

52.0 match 2 stars 3.73 score 179 scripts 1 dependents

r-lib

desc:Manipulate DESCRIPTION Files

Tools to read, write, create, and manipulate DESCRIPTION files. It is intended for packages that create or manipulate other packages.

Maintained by Gรกbor Csรกrdi. Last updated 1 months ago.

12.9 match 123 stars 14.68 score 409 scripts 1.1k dependents

r-lib

fs:Cross-Platform File System Operations Based on 'libuv'

A cross-platform interface to file system operations, built on top of the 'libuv' C library.

Maintained by Gรกbor Csรกrdi. Last updated 4 months ago.

filesystemlibuvcpp

9.2 match 370 stars 20.26 score 8.1k scripts 5.2k dependents

jpgattuso

seacarb:Seawater Carbonate Chemistry

Calculates parameters of the seawater carbonate system and assists the design of ocean acidification perturbation experiments.

Maintained by Jean-Pierre Gattuso. Last updated 1 years ago.

21.3 match 8 stars 8.27 score 350 scripts 5 dependents

jessecambon

tidygeocoder:Geocoding Made Easy

An intuitive interface for getting data from geocoding services.

Maintained by Jesse Cambon. Last updated 4 months ago.

geocodingrspatialtidyverse

13.9 match 287 stars 11.35 score 1.0k scripts 9 dependents

bioc

annotate:Annotation for microarrays

Using R enviroments for annotation.

Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.

annotationpathwaysgo

13.6 match 11.41 score 812 scripts 243 dependents

oscarperpinan

solaR:Radiation and Photovoltaic Systems

Calculation methods of solar radiation and performance of photovoltaic systems from daily and intradaily irradiation data sources.

Maintained by Oscar Perpiรฑรกn Lamigueiro. Last updated 26 days ago.

28.0 match 38 stars 5.32 score 55 scripts

rblp

Rblpapi:R Interface to 'Bloomberg'

An R Interface to 'Bloomberg' is provided via the 'Blp API'.

Maintained by Dirk Eddelbuettel. Last updated 1 days ago.

bloombergbloomberg-apircppcpp

15.4 match 169 stars 9.41 score 115 scripts

ianmcook

tidyquery:Query 'R' Data Frames with 'SQL'

Use 'SQL' 'SELECT' statements to query 'R' data frames.

Maintained by Ian Cook. Last updated 2 years ago.

dplyrquerysqltidyverse

20.1 match 168 stars 5.95 score 35 scripts

glgrabow

spreval:Evaluation of Sprinkler Irrigation Uniformity and Efficiency

Processing and analysis of field collected or simulated sprinkler system catch data (depths) to characterize irrigation uniformity and efficiency using standard and other measures. Standard measures include the Christiansen coefficient of uniformity (CU) as found in Christiansen, J.E.(1942, ISBN:0138779295, "Irrigation by Sprinkling"); and distribution uniformity (DU), potential efficiency of the low quarter (PELQ), and application efficiency of the low quarter (AELQ) that are implementations of measures of the same notation in Keller, J. and Merriam, J.L. (1978) "Farm Irrigation System Evaluation: A Guide for Management" <https://pdf.usaid.gov/pdf_docs/PNAAG745.pdf>. spreval::DU.lh is similar to spreval::DU but is the distribution uniformity of the low half instead of low quarter as in DU. spreval::PELQT is a version of spreval::PELQ adapted for traveling systems instead of lateral move or solid-set sprinkler systems. The function spreval::eff is analogous to the method used to compute application efficiency for furrow irrigation presented in Walker, W. and Skogerboe, G.V. (1987,ISBN:0138779295, "Surface Irrigation: Theory and Practice"),that uses piecewise integration of infiltrated depth compared against soil-moisture deficit (SMD), when the argument "target" is set equal to SMD. The other functions contained in the package provide graphical representation of sprinkler system uniformity, and other standard univariate parametric and non-parametric statistical measures as applied to sprinkler system catch depths. A sample data set of field test data spreval::catchcan (catch depths) is provided and is used in examples and vignettes. Agricultural systems emphasized, but this package can be used for landscape irrigation evaluation, and a landscape (turf) vignette is included as an example application.

Maintained by Garry Grabow. Last updated 3 years ago.

26.8 match 4.30 score 9 scripts

climateanalytics

foreSIGHT:Systems Insights from Generation of Hydroclimatic Timeseries

A tool to create hydroclimate scenarios, stress test systems and visualize system performance in scenario-neutral climate change impact assessments. Scenario-neutral approaches 'stress-test' the performance of a modelled system by applying a wide range of plausible hydroclimate conditions (see Brown & Wilby (2012) <doi:10.1029/2012EO410001> and Prudhomme et al. (2010) <doi:10.1016/j.jhydrol.2010.06.043>). These approaches allow the identification of hydroclimatic variables that affect the vulnerability of a system to hydroclimate variation and change. This tool enables the generation of perturbed time series using a range of approaches including simple scaling of observed time series (e.g. Culley et al. (2016) <doi:10.1002/2015WR018253>) and stochastic simulation of perturbed time series via an inverse approach (see Guo et al. (2018) <doi:10.1016/j.jhydrol.2016.03.025>). It incorporates 'Richardson-type' weather generator model configurations documented in Richardson (1981) <doi:10.1029/WR017i001p00182>, Richardson and Wright (1984), as well as latent variable type model configurations documented in Bennett et al. (2018) <doi:10.1016/j.jhydrol.2016.12.043>, Rasmussen (2013) <doi:10.1002/wrcr.20164>, Bennett et al. (2019) <doi:10.5194/hess-23-4783-2019> to generate hydroclimate variables on a daily basis (e.g. precipitation, temperature, potential evapotranspiration) and allows a variety of different hydroclimate variable properties, herein called attributes, to be perturbed. Options are included for the easy integration of existing system models both internally in R and externally for seamless 'stress-testing'. A suite of visualization options for the results of a scenario-neutral analysis (e.g. plotting performance spaces and overlaying climate projection information) are also included. Version 1.0 of this package is described in Bennett et al. (2021) <doi:10.1016/j.envsoft.2021.104999>. As further developments in scenario-neutral approaches occur the tool will be updated to incorporate these advances.

Maintained by David McInerney. Last updated 1 years ago.

cpp

30.4 match 1 stars 3.60 score 20 scripts

mdlincoln

clipr:Read and Write from the System Clipboard

Simple utility functions to read from and write to the Windows, OS X, and X11 clipboards.

Maintained by Matthew Lincoln. Last updated 3 years ago.

clipboard

6.9 match 151 stars 15.21 score 608 scripts 2.4k dependents

r-forge

surveillance:Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Hoehle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Hoehle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.

Maintained by Sebastian Meyer. Last updated 3 days ago.

cpp

9.5 match 2 stars 10.68 score 446 scripts 3 dependents

pik-piam

mredgebuildings:Prepare data to be used by the EDGE-Buildings model

Prepare data to be used by the EDGE-Buildings model.

Maintained by Robin Hasse. Last updated 3 days ago.

26.2 match 3.72 score

yihui

xfun:Supporting Functions for Packages Maintained by 'Yihui Xie'

Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.

Maintained by Yihui Xie. Last updated 4 days ago.

4.9 match 145 stars 18.18 score 916 scripts 4.4k dependents

datawookie

emayili:Send Email Messages

A light, simple tool for sending emails with minimal dependencies.

Maintained by Andrew B. Collier. Last updated 1 months ago.

hacktoberfest

9.3 match 180 stars 9.59 score 95 scripts 3 dependents

owp-spatial

hfsubsetR:Hydrofabric Subsetter

Subset Hydrofabric Data in R.

Maintained by Mike Johnson. Last updated 25 days ago.

geospatialhydrofabricnextgennoaa-owpsubsetting

20.1 match 7 stars 4.02 score 8 scripts

usdaforestservice

gdalraster:Bindings to the 'Geospatial Data Abstraction Library' Raster API

Interface to the Raster API of the 'Geospatial Data Abstraction Library' ('GDAL', <https://gdal.org>). Bindings are implemented in an exposed C++ class encapsulating a 'GDALDataset' and its raster band objects, along with several stand-alone functions. These support manual creation of uninitialized datasets, creation from existing raster as template, read/set dataset parameters, low level I/O, color tables, raster attribute tables, virtual raster (VRT), and 'gdalwarp' wrapper for reprojection and mosaicing. Includes 'GDAL' algorithms ('dem_proc()', 'polygonize()', 'rasterize()', etc.), and functions for coordinate transformation and spatial reference systems. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Includes raster 'calc()' to evaluate a given R expression on a layer or stack of layers, with pixel x/y available as variables in the expression; and raster 'combine()' to identify and count unique pixel combinations across multiple input layers, with optional output of the pixel-level combination IDs. Provides raster display using base 'graphics'. Bindings to a subset of the 'OGR' API are also included for managing vector data sources. Bindings to a subset of the Virtual Systems Interface ('VSI') are also included to support operations on 'GDAL' virtual file systems. These are general utility functions that abstract file system operations on URLs, cloud storage services, 'Zip'/'GZip'/'7z'/'RAR' archives, and in-memory files. 'gdalraster' may be useful in applications that need scalable, low-level I/O, or prefer a direct 'GDAL' API.

Maintained by Chris Toney. Last updated 1 days ago.

gdalgeospatialrastervectorcpp

7.8 match 42 stars 9.52 score 32 scripts 3 dependents

bsvars

bsvars:Bayesian Estimation of Structural Vector Autoregressive Models

Provides fast and efficient procedures for Bayesian analysis of Structural Vector Autoregressions. This package estimates a wide range of models, including homo-, heteroskedastic, and non-normal specifications. Structural models can be identified by adjustable exclusion restrictions, time-varying volatility, or non-normality. They all include a flexible three-level equation-specific local-global hierarchical prior distribution for the estimated level of shrinkage for autoregressive and structural parameters. Additionally, the package facilitates predictive and structural analyses such as impulse responses, forecast error variance and historical decompositions, forecasting, verification of heteroskedasticity, non-normality, and hypotheses on autoregressive parameters, as well as analyses of structural shocks, volatilities, and fitted values. Beautiful plots, informative summary functions, and extensive documentation including the vignette by Woลบniak (2024) <doi:10.48550/arXiv.2410.15090> complement all this. The implemented techniques align closely with those presented in Lรผtkepohl, Shang, Uzeda, & Woลบniak (2024) <doi:10.48550/arXiv.2404.11057>, Lรผtkepohl & Woลบniak (2020) <doi:10.1016/j.jedc.2020.103862>, and Song & Woลบniak (2021) <doi:10.1093/acrefore/9780190625979.013.174>. The 'bsvars' package is aligned regarding objects, workflows, and code structure with the R package 'bsvarSIGNs' by Wang & Woลบniak (2024) <doi:10.32614/CRAN.package.bsvarSIGNs>, and they constitute an integrated toolset.

Maintained by Tomasz Woลบniak. Last updated 1 months ago.

bayesian-inferenceeconometricsvector-autoregressionopenblascppopenmp

9.7 match 46 stars 7.67 score 32 scripts 1 dependents

r-cas

Ryacas:R Interface to the 'Yacas' Computer Algebra System

Interface to the 'yacas' computer algebra system (<http://www.yacas.org/>).

Maintained by Mikkel Meyer Andersen. Last updated 2 years ago.

cpp

6.8 match 40 stars 10.15 score 167 scripts 14 dependents

tiledb-inc

tiledbcloud:TileDB Cloud Platform R Client Package

The TileDB Cloud Platform API Client Package offers access to the TileDB Cloud service.

Maintained by John Kerl. Last updated 8 months ago.

13.1 match 1 stars 5.22 score 92 scripts