R

R-package

The goal of this package is to help users in using Capsis software and compile reports for field workshops. The workshop consist in predicting management effects on forest stand with Samsara2 model within Capsis platform.

http://martelosim.lessem.forge.inrae.fr/

R package to run MuSICA

Progressive examples and tests showing how to pass multiple R data types through Rcpp to Fortran and return results back to R.

https://explore-metabar.sk8.inrae.fr/

R package. Retrieve French Hydrological Data from HydroPortail

R package. Computes Hydrograph Separation

R bindings for the evalhyd utility

R package to compute Sentinel-2 Nadir BRDF Adjusted Reflectance

Documentation

https://umrf.pages.mia.inra.fr/ranomaly/

This project is the source repository of the CRAN package 'treediff' https://cran.r-project.org/package=treediff.

The R package treediff performs Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering.

This project is the source repository of the CRAN package 'SISIR' https://cran.r-project.org/package=SISIR.

This package can perform interval fusion and selection procedures in regression models with functional inputs. Implemented methods include a semiparametric approach based on Sliced Inverse Regression (SIR), as described in doi:10.1007/s11222-018-9806-6 (standard ridge and sparse SIR are also included in the package) and a random forest based approach, as described in doi:10.1002/sam.11705.

https://metatoul.pages.mia.inra.fr/graphstats

pipeguins is an example R package demonstrating a state-of-the-art approach to reproducible research using the Palmer Penguins dataset. This package leverages best practices in data analysis, including modular programming, test-driven development (TDD) with testthat, and automated workflows using targets and GitLab CI/CD to generate a Quarto website.

This project is the source repository of the CRAN package 'hicream' https://cran.r-project.org/package=hicream.

It performs Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering.

F3MR is a R package that help to analyze food microbiome omics data based on dedicated and curated metabolic modules based on extensive literature review. It belongs to F3M software suite developed by INRAE Food Microbial Ecology lab

mixKernel is a multiple kernel framework that allows to integrate multiple datasets of various types into a single analysis. The package is published on CRAN: https://cran.r-project.org/package=mixKernel

FreezeR is a R package which implements a Bayesian model aiming at deciphering main drivers of tree buds freezing.

shinySbm is a package containing a shiny application. This application is build for network analysis based on the sbm package made by Chiquet J, Donnet S and Barbillon P (2023) CRAN. It allow to apply and explore the outputs of a Stochastic Block Model. It is useful if you want to analyse your data (could be adjacency matrix or edges list) without R language knowledge or to learn the basic lines of the sbm package.