Alternatives and similar repositories for MoMA

Users that are interested in MoMA are comparing it to the libraries listed below

• yenchic / ModalRegression
  ☆9Updated 8 years ago
• danheck / metaBMA
  Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis
  ☆29Updated last year
• vdorie / blme
  Bayesian Linear Mixed Effect Models
  ☆44Updated 2 months ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 8 months ago
• bgreenwell / investr
  Inverse estimation in R
  ☆23Updated 2 years ago
• jolars / SLOPE
  Sorted L1 Penalized Estimation
  ☆18Updated 3 weeks ago
• YaohuiZeng / grpregOverlap
  Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
  ☆20Updated 2 years ago
• mike-lawrence / aria
  An R package implementing an idiosyncratic Stan workflow
  ☆14Updated 2 years ago
• lindeloev / utility-theory
  Utility Theory for Dummies: An R Tutorial
  ☆19Updated 4 years ago
• jonclayden / imbibe
  A Pipe-Friendly Image Calculator
  ☆14Updated 3 years ago
• kcf-jackson / maniTools
  R package: Manifold learning in R
  ☆13Updated 5 years ago
• saudiwin / ordbetareg
  Paper repository for "Ordered Beta Regression" (Kubinec 2022). For R package ordbetareg, see Github repo www.github.com/saudiwin/ordbetar…
  ☆16Updated 2 years ago
• charlesm93 / StanCon2020
  Code for the talk "Approximate Bayesian inference for latent Gaussian models in Stan"
  ☆13Updated 2 years ago
• mike-lawrence / bayes_days
  R & Stan code associated with my "Bayes Days" workshop
  ☆14Updated 9 years ago
• ikosmidis / brglm2
  Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
  ☆33Updated 8 months ago
• milanwiedemann / lcsm
  An R package for latent change score modelling (LCSM)
  ☆17Updated 2 years ago
• andland / generalizedPCA
  Dimensionality reduction for exponential family data by extending PCA
  ☆23Updated 6 years ago
• venpopov / bmm
  An R package for easy and flexible Bayesian Measurement Modeling
  ☆16Updated 2 months ago
• jmbh / mgm
  Estimation of Time-Varying k-order Mixed Graphical Models
  ☆30Updated 2 months ago
• petersonR / bestNormalize
  Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally di…
  ☆40Updated last year
• strengejacke / mixed-models-snippets
  This repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with pac…
  ☆36Updated 2 years ago
• dajmcdon / sparsegl
  ☆18Updated 8 months ago
• kkholst / targeted
  Targeted inference (R package) https://kkholst.github.io/targeted/
  ☆12Updated this week
• Rensvandeschoot / Tutorials
  Underlying code for the online stats training website.
  ☆19Updated 2 years ago
• JWiley / brmsmargins
  Average marginal estimates for Bayesian models fit with the brms package
  ☆20Updated 3 months ago
• privefl / bigsparser
  Sparse matrix format with data on disk
  ☆10Updated 8 months ago
• nt-williams / adjrct
  Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions
  ☆11Updated 3 years ago
• ArdiaD / DEoptim
  Differential evolution in R
  ☆29Updated 2 years ago
• mrc-ide / mcstate
  Monte-Carlo State Space Models
  ☆19Updated 10 months ago
• aloy / HLMdiag
  R package providing diagnostic tools for multilevel models
  ☆18Updated this week