kwstat's Stars
jwiegley/use-package
A use-package declaration for simplifying your .emacs
derceg/explorerplusplus
Explorer++ is a lightweight and fast file manager for Windows
jrblevin/markdown-mode
Emacs Markdown Mode
moderndive/ModernDive_book
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
sbailey/empca
Principal Component Analysis (PCA) for Missing and/or Noisy Data
uk-ar/key-combo
emacs plugin:enhanced smartchr
covaruber/sommer
PaulSchmidtGit/Heritability
Heritability in plant breeding - R and SAS code examples
emacs-vs/rainbow-csv
🌈Highlight CSV and TSV spreadsheet files in different rainbow colors
cran-task-views/MixedModels
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
myTerminal/theme-looper
A convenience package to switch themes in Emacs
matthewwolak/nadiv
R package that constructs (non)additive genetic relationship matrices, and their inverses, from a pedigree to be used in linear mixed effect models (A.K.A. the 'animal model').
briencj/asremlPlus
asremlPlus is an R package that augments the use of 'ASReml-R' and 'ASReml4-R' in fitting mixed models
chgigot/epiphy
Analyzing plant disease epidemics
fredrikw/python-nipals
uncoast-unconf/uu-2019
Materials for the 2019 uncoast unconference
malachycampbell/StatisticalMethodsforOmicsAssistedBreeding
Slides for short course on 'omics assisted breeding methods
Kaio-Olimpio/Probability-for-GEI
kwstat/nipals
Principal Component Analysis with missing data using NIPALS with Gram-Schmidt orthogonalization
OnofriAndreaPG/agriCensData
Analyzing interval-censored data in agricultural research: A review with examples and software tips
sofpj/mumm
mumm
uncoast-unconf/uu-2019-day-zero
Planning for day-zero training and whatnot
emitanaka/platent
Penalised likelihood for selection and fitting of latent variable models
AparicioJohan/MrBean
Web Application V.0.1
alenxav/SoyNAM
SoyNAM dataset
andybeatty/EliteCorn
Elite Corn Programming Problem
msudrybeanbreeding/DryBean_MultiEnvTrials
osval78/Multivariate_Tuning_Kernel_Method
Data sets for implementing three strategies of tuning under multivariate GBLUP model with Gaussian kernel
saulo-chaves/Vcov-RM-grandiflorum
Data and R scripts used in the paper "Analysis of multi-harvest data through mixed models: an application in Theobroma grandiflorum breeding"
tequa/ammisoft
AMMISOFT program