vguillemot's Stars
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
tidyverse/ggplot2
An implementation of the Grammar of Graphics in R
allisonhorst/stats-illustrations
R & stats illustrations by @allison_horst
igraph/igraph
Library for the analysis of networks
ramnathv/rCharts
Interactive JS Charts from R
jamovi/jamovi
jamovi - open software to bridge the gap between researcher and statistician
tinystats/teacups-giraffes-and-statistics
Online teaching modules for stats and R coding inside a fictional narrative about a miniature giraffe species.
llSourcell/How_to_make_a_language_translator
This is the code for "How to Make a Language Translator - Intro to Deep Learning #11' by Siraj Raval on YouTube
biokit/biokit
Bioinformatics in Python
derekbeaton/GSVD
aalto-ics-kepaco/gradKCCA
Implementations of gradKCCA
IFB-ElixirFr/EBAII
Supports de cours de l'Ecole de Bioinformatique Aviesan - IFB - Inserm "Initiation au traitement des données de génomique obtenues par séquençage à haut débit"
HerveAbdi/data4PCCAR
data4PCCAR: A R-collection of data sets and tools to illustrate Abdi & Beaton (2021) Principal Component and Correspondence Analyses with R.
HerveAbdi/PTCA4CATA
PTCA4CATA: an R Package for the analysis of 3-ways contingency tables with partial triadic correspondence analysis.
JacobBergstedt/mmi
R package facilitating describing and fitting many models and getting information from them in a convenient form.
tomlof/OnPLS
OnPLS: Orthogonal Projections to Latent Structures in Multiblock and Path Model Data Analysis
HerveAbdi/DistatisR
DistatisR: R-package for optimum 3-way metric multidimensional scaling analysis (for a set of distance or covariance or any positive-semi definite matrices).
byandell/qtl2shiny
Shiny app for R/qtl2
Displayr/rhtmlHeatmap
rhtmlHeatmap - An improved heatmap package based on d3heatmap
mboissel/MR_training
Starter Pack About Mendelian Randomization. My Feedback about MR traning followed in 2020.
wbounliphone/reldep
Test of relative dependency
BenoitDamota/mempamal
MEmPaMaL: Means for EMbarrassingly PArallel MAchine Learning
PF-BB/BoostR
Introduction à l'utilisation du logiciel R en Biostatistique
brian-lau/ExploreStats
bvilhjal/pypcma
Multiple-trait analysis
derekbeaton/PLSCA_Framework
Partial least squares correspondence analysis (PLS-CA) and Smoothed (regularized) PLS-CA