https://github.com/bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
bruceR
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
capybara
tldr; If you have a 2-4GB dataset and you need to estimate a (generalized) linear model with a large number of fixed effects, this package is for you.
skpr
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.
BayesVarSel
BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models
https://github.com/shademe/liblinear-rs
Rust language bindings for the LIBLINEAR C/C++ library
TSPred
TSPred Package for R : Framework for Nonstationary Time Series Prediction
https://github.com/felipemarkson/munozdelgado2014
Implementation on JuMP of Distribution Expansion Planning Model proposed by Muñoz-Delgado et al. (2014).
https://github.com/daisybio/DysRegNet_package
Inferring patient-specific regulatory alterations
DPI
🛸 The Directed Prediction Index (DPI): Quantifying Relative Endogeneity of Outcome Versus Predictor Variables.
https://github.com/cjabradshaw/deercullshotgun
Generalised linear models testing variation in time from initiation of pursuit to death for feral fallow deer
sir-model
Code & Simulink/linear-systems models for “A microscopic-view Infection model based on linear systems” (Information Sciences, 2020)
speclet
A Bayesian hierarchical model to discover tissue-specific cancer driver genes and synthetic lethal interactions from CRISPR/Cas9 LoF screens.
prettyglm
prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.
