Showing 200 of total 455 results (show query)

qsbase

qs:Quick Serialization of R Objects

Provides functions for quickly writing and reading any R object to and from disk.

Maintained by Travers Ching. Last updated 10 days ago.

compressiondata-storageencodingserializationlibzstdlz4cpp

16.4 match 414 stars 13.91 score 2.5k scripts 51 dependents

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 3 days ago.

6.6 match 145 stars 18.18 score 916 scripts 4.4k dependents

bioc

graph:graph: A package to handle graph data structures

A package that implements some simple graph handling capabilities.

Maintained by Bioconductor Package Maintainer. Last updated 11 days ago.

graphandnetwork

8.7 match 11.78 score 764 scripts 342 dependents

patperry

utf8:Unicode Text Processing

Process and print 'UTF-8' encoded international text (Unicode). Input, validate, normalize, encode, format, and display.

Maintained by Kirill Mรผller. Last updated 3 months ago.

6.0 match 113 stars 16.48 score 295 scripts 11k dependents

s-u

base64enc:Tools for base64 Encoding

Tools for handling base64 encoding. It is more flexible than the orphaned base64 package.

Maintained by Simon Urbanek. Last updated 3 years ago.

7.0 match 9 stars 12.62 score 680 scripts 4.8k dependents

merck

r2rtf:Easily Create Production-Ready Rich Text Format (RTF) Tables and Figures

Create production-ready Rich Text Format (RTF) tables and figures with flexible format.

Maintained by Benjamin Wang. Last updated 6 days ago.

6.6 match 78 stars 10.82 score 171 scripts 10 dependents

e-sensing

sits:Satellite Image Time Series Analysis for Earth Observation Data Cubes

An end-to-end toolkit for land use and land cover classification using big Earth observation data, based on machine learning methods applied to satellite image data cubes, as described in Simoes et al (2021) <doi:10.3390/rs13132428>. Builds regular data cubes from collections in AWS, Microsoft Planetary Computer, Brazil Data Cube, Copernicus Data Space Environment (CDSE), Digital Earth Africa, Digital Earth Australia, NASA HLS using the Spatio-temporal Asset Catalog (STAC) protocol (<https://stacspec.org/>) and the 'gdalcubes' R package developed by Appel and Pebesma (2019) <doi:10.3390/data4030092>. Supports visualization methods for images and time series and smoothing filters for dealing with noisy time series. Includes functions for quality assessment of training samples using self-organized maps as presented by Santos et al (2021) <doi:10.1016/j.isprsjprs.2021.04.014>. Includes methods to reduce training samples imbalance proposed by Chawla et al (2002) <doi:10.1613/jair.953>. Provides machine learning methods including support vector machines, random forests, extreme gradient boosting, multi-layer perceptrons, temporal convolutional neural networks proposed by Pelletier et al (2019) <doi:10.3390/rs11050523>, and temporal attention encoders by Garnot and Landrieu (2020) <doi:10.48550/arXiv.2007.00586>. Supports GPU processing of deep learning models using torch <https://torch.mlverse.org/>. Performs efficient classification of big Earth observation data cubes and includes functions for post-classification smoothing based on Bayesian inference as described by Camara et al (2024) <doi:10.3390/rs16234572>, and methods for active learning and uncertainty assessment. Supports region-based time series analysis using package supercells <https://jakubnowosad.com/supercells/>. Enables best practices for estimating area and assessing accuracy of land change as recommended by Olofsson et al (2014) <doi:10.1016/j.rse.2014.02.015>. Minimum recommended requirements: 16 GB RAM and 4 CPU dual-core.

Maintained by Gilberto Camara. Last updated 1 months ago.

big-earth-datacbersearth-observationeo-datacubesgeospatialimage-time-seriesland-cover-classificationlandsatplanetary-computerr-spatialremote-sensingrspatialsatellite-image-time-seriessatellite-imagerysentinel-2stac-apistac-catalogcpp

3.9 match 494 stars 9.50 score 384 scripts

tidyverse

rvest:Easily Harvest (Scrape) Web Pages

Wrappers around the 'xml2' and 'httr' packages to make it easy to download, then manipulate, HTML and XML.

Maintained by Hadley Wickham. Last updated 5 months ago.

htmlweb-scraping

1.9 match 1.5k stars 19.62 score 29k scripts 546 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

3.8 match 180 stars 9.59 score 95 scripts 3 dependents

michaelchirico

geohashTools:Tools for Working with Geohashes

Tools for working with Gustavo Niemeyer's geohash coordinate system, including API for interacting with other common R GIS libraries.

Maintained by Michael Chirico. Last updated 1 years ago.

5.0 match 52 stars 7.18 score 30 scripts 6 dependents

rstudio

htmltools:Tools for HTML

Tools for HTML generation and output.

Maintained by Carson Sievert. Last updated 10 months ago.

2.0 match 218 stars 17.61 score 10k scripts 4.5k dependents

gravesee

onehot:Fast Onehot Encoding for Data.frames

Quickly create numeric matrices for machine learning algorithms that require them. It converts factor columns into onehot vectors.

Maintained by Eric E. Graves. Last updated 6 years ago.

4.9 match 11 stars 5.45 score 86 scripts 2 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.

1.8 match 123 stars 14.68 score 409 scripts 1.1k dependents

insightsengineering

tern:Create Common TLGs Used in Clinical Trials

Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials.

Maintained by Joe Zhu. Last updated 2 months ago.

clinical-trialsgraphslistingsnestoutputstables

1.8 match 79 stars 12.62 score 186 scripts 9 dependents

trelliscope

trelliscope:Create Interactive Multi-Panel Displays

Trelliscope enables interactive exploration of data frames of visualizations.

Maintained by Ryan Hafen. Last updated 7 months ago.

visualization

3.3 match 29 stars 6.43 score 117 scripts

vjcitn

combinat:combinatorics utilities

routines for combinatorics

Maintained by Vince Carey. Last updated 12 years ago.

2.7 match 7.83 score 744 scripts 228 dependents

r-lib

gmailr:Access the 'Gmail' 'RESTful' API

An interface to the 'Gmail' 'RESTful' API. Allows access to your 'Gmail' messages, threads, drafts and labels.

Maintained by Jennifer Bryan. Last updated 1 years ago.

1.8 match 230 stars 11.49 score 289 scripts 1 dependents

bodkan

slendr:A Simulation Framework for Spatiotemporal Population Genetics

A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequence functionality via an R interface to the 'Python' module 'tskit' by Kelleher et al. (2019) <doi:10.1038/s41588-019-0483-y>. Complete model configuration, simulation and analysis pipelines can be therefore constructed without a need to leave the R environment, eliminating friction between disparate tools for population genetic simulations and data analysis.

Maintained by Martin Petr. Last updated 12 days ago.

popgenpopulation-geneticssimulationsspatial-statistics

2.3 match 56 stars 9.15 score 88 scripts

qinwf

jiebaR:Chinese Text Segmentation

Chinese text segmentation, keyword extraction and speech tagging For R.

Maintained by Qin Wenfeng. Last updated 5 years ago.

chinesechinese-text-segmentationcppjiebajiebalexical-analysisnlpcpp

2.0 match 348 stars 10.18 score 456 scripts 6 dependents

nepem-ufsc

metan:Multi Environment Trials Analysis

Performs stability analysis of multi-environment trial data using parametric and non-parametric methods. Parametric methods includes Additive Main Effects and Multiplicative Interaction (AMMI) analysis by Gauch (2013) <doi:10.2135/cropsci2013.04.0241>, Ecovalence by Wricke (1965), Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang (2003) <doi:10.1201/9781420040371>, geometric adaptability index by Mohammadi & Amri (2008) <doi:10.1007/s10681-007-9600-6>, joint regression analysis by Eberhart & Russel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>, genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's (2004) method, power law residuals (POLAR) statistics by Doring et al. (2015) <doi:10.1016/j.fcr.2015.08.005>, scale-adjusted coefficient of variation by Doring & Reckling (2018) <doi:10.1016/j.eja.2018.06.007>, stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>, weighted average of absolute scores by Olivoto et al. (2019a) <doi:10.2134/agronj2019.03.0220>, and multi-trait stability index by Olivoto et al. (2019b) <doi:10.2134/agronj2019.03.0221>. Non-parametric methods includes superiority index by Lin & Binns (1988) <doi:10.4141/cjps88-018>, nonparametric measures of phenotypic stability by Huehn (1990) <doi:10.1007/BF00024241>, TOP third statistic by Fox et al. (1990) <doi:10.1007/BF00040364>. Functions for computing biometrical analysis such as path analysis, canonical correlation, partial correlation, clustering analysis, and tools for inspecting, manipulating, summarizing and plotting typical multi-environment trial data are also provided.

Maintained by Tiago Olivoto. Last updated 9 days ago.

1.9 match 2 stars 9.48 score 1.3k scripts 2 dependents

statnet

rle:Common Functions for Run-Length Encoded Vectors

Common 'base' and 'stats' methods for 'rle' objects, aiming to make it possible to treat them transparently as vectors.

Maintained by Pavel N. Krivitsky. Last updated 4 months ago.

2.9 match 2 stars 6.07 score 1 scripts 37 dependents

bioc

ROntoTools:R Onto-Tools suite

Suite of tools for functional analysis.

Maintained by Sorin Draghici. Last updated 5 months ago.

networkanalysismicroarraygraphsandnetworks

3.4 match 5.10 score 15 scripts 2 dependents