Alternatives and similar repositories for ml-mcmc-convergence

Users that are interested in ml-mcmc-convergence are comparing it to the libraries listed below

• becarioprecario / INLAMCMC_examples
  Examples on INLA within MCMC
  ☆11Updated 8 years ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• nimble-dev / nimbleHMC
  HMC and other derivative-based MCMC sampling algorithms for the nimble package
  ☆13Updated 3 weeks ago
• bgoodri / StanCon2020
  Material for my proposed StanCon talk
  ☆20Updated 4 years ago
• yenchic / ModalRegression
  ☆9Updated 8 years ago
• akawiecki / statistical_rethinking_inla
  homework problems from the 2nd edition of Statistical Rethinking by Richard McElreath worked in R-INLA
  ☆24Updated 3 years ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆42Updated 9 months ago
• JWiley / brmsmargins
  Average marginal estimates for Bayesian models fit with the brms package
  ☆20Updated 4 months ago
• ajnafa / Bayesian-IPW
  ☆16Updated 3 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 8 months ago
• dvats / mcmcse
  Markov chain Monte Carlo Standard Errors
  ☆12Updated 4 months ago
• TheoMichelot / smoothSDE
  Fit stochastic differential equation models with time-varying parameters
  ☆15Updated last month
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated 2 weeks ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated 11 months ago
• athowes / thesis
  Bayesian spatio-temporal methods for small-area estimation of HIV indicators (PhD thesis, Imperial College London, 2023)
  ☆16Updated 5 months ago
• DenisRustand / INLAjoint
  Joint modeling multivariate longitudinal and time-to-event outcomes with INLA
  ☆20Updated 3 weeks ago
• mitzimorris / StanCon2023_brms_tutorial
  Notebooks and data for StanCon2023 tutorial on BRMS
  ☆16Updated last year
• jpiironen / gplite
  Gaussian process modeling in R
  ☆16Updated 2 years ago
• sakrejda / stannis
  Code for effectively dealing with running CmdStan... from R.... because reasons...
  ☆13Updated 2 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 4 months ago
• Non-Contradiction / autodiffr
  Automatic Differentiation for R
  ☆23Updated 6 years ago
• charlesm93 / StanCon2020
  Code for the talk "Approximate Bayesian inference for latent Gaussian models in Stan"
  ☆13Updated 3 years ago
• mayer79 / flashlight
  Machine learning explanations
  ☆23Updated 2 months ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆31Updated 3 years ago
• greta-dev / greta.gp
  a greta extension for Gaussian process modelling
  ☆19Updated 4 months ago
• to-mi / stan-survival-shrinkage
  Bayesian linear survival analysis with shrinkage priors in Stan
  ☆24Updated 9 years ago
• olafmersmann / truncnorm
  Density, probability, quantile and random number generation functions for the truncated normal distribution.
  ☆25Updated last year
• andrjohns / StanEstimators
  Estimate Parameters for Arbitrary R Functions using 'Stan'
  ☆26Updated 10 months ago
• quentingronau / bridgesampling
  R package for bridge sampling
  ☆32Updated last year
• Andrew9Lawson / Bayesian-DM-code-examples
  BDM Code examples from Win/OpenBUGS, CARBayes and INLA
  ☆26Updated 5 years ago