Alternatives and similar repositories for gamlss

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

• ArdiaD / DEoptim
  Differential evolution in R
  ☆30Updated 3 years ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆19Updated 5 years ago
• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆63Updated 4 months ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated 5 months ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• CCS-Lab / easyml
  A toolkit for easily building and evaluating machine learning models.
  ☆40Updated 2 years ago
• lindeloev / shiny-rt
  Reaction Time Distributions - An Interactive Overview
  ☆44Updated 4 years ago
• thuizhou / PSweight
  ☆26Updated last year
• DataSlingers / MoMA
  MoMA: Modern Multivariate Analysis in R
  ☆23Updated 6 years ago
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 4 months ago
• drizopoulos / JMbayes
  Joint Models for Longitudinal and Survival Data using MCMC
  ☆59Updated 4 years ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated last year
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆26Updated 2 years ago
• NErler / JointAI
  Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
  ☆28Updated 2 months ago
• decisionpatterns / formula.tools
  Utilities for working with formulas, expressions, calls and other R objects
  ☆17Updated 6 years ago
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆58Updated 3 weeks ago
• m-clark / generalized-additive-models
  A document introducing generalized additive models.📈
  ☆82Updated last year
• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆42Updated 6 years ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆76Updated last year
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• simsem / semTools
  Useful tools for structural equation modeling
  ☆84Updated 6 months ago
• milanwiedemann / lcsm
  An R package for latent change score modelling (LCSM)
  ☆18Updated 2 years ago
• GRousselet / rogme
  Robust Graphical Methods For Group Comparisons
  ☆86Updated 2 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆25Updated 3 years ago
• rmcelreath / cmdstan_map_rect_tutorial
  Beginner tutorial for using cmdstan with multithreading
  ☆62Updated 5 years ago
• jdtuck / fdasrvf_R
  Functional Data Analysis using Square-Root Slope Framework
  ☆14Updated 3 weeks ago
• atsa-es / MARSS
  Multivariate Autoregressive State-Space Modeling with R
  ☆53Updated 2 months ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated last year
• jmbh / mgm
  Estimation of Time-Varying k-order Mixed Graphical Models
  ☆30Updated 7 months ago