Alternatives and similar repositories for pomdp:

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

• DiogoFerrari / hdpGLM
  Hierarchical Dirichlet Process Generalized Linear Models
  ☆12Updated last year
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆28Updated 2 months ago
• becarioprecario / INLAMSM
  Multivariate spatial models for lattice data with INLA
  ☆21Updated 3 years ago
• meghapsimatrix / simhelpers
  Helper package to assist in running simulation studies
  ☆11Updated last week
• bonStats / tidytreatment
  Tidy methods for Bayesian treatment effect models
  ☆16Updated last week
• ropensci / jagstargets
  Reproducible Bayesian data analysis pipelines with targets and JAGS
  ☆10Updated last month
• ArdiaD / DEoptim
  Differential evolution in R
  ☆29Updated 2 years ago
• mfasiolo / gamFactory
  Tools for building new GAM models in mgcv
  ☆14Updated this week
• akawiecki / statistical_rethinking_inla
  homework problems from the 2nd edition of Statistical Rethinking by Richard McElreath worked in R-INLA
  ☆24Updated 3 years ago
• jpiironen / gplite
  Gaussian process modeling in R
  ☆16Updated 2 years ago
• mkln / meshed
  Meshed GP for Bayesian spatial big data regression
  ☆13Updated 5 months ago
• emptyfield-ds / teaching_warehouse
  Warehouse of (Raw) Teaching Materials
  ☆16Updated last week
• kkholst / targeted
  Targeted inference (R package) https://kkholst.github.io/targeted/
  ☆10Updated last month
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆29Updated 2 months ago
• noamross / mgcv-esa-2018
  ☆16Updated 6 years ago
• paul-buerkner / Bayesian-IRT-paper
  This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.
  ☆28Updated 11 months ago
• r-causal / causalworkshop
  Install Workshop Materials for Causal Inference in R
  ☆20Updated 5 months ago
• robjhyndman / weird-package
  All data and functions needed for the book "That's weird: anomaly detection using R" by Rob J Hyndman <https://OTexts.com/weird>
  ☆15Updated 3 weeks ago
• atsa-es / tvvarss
  Time varying vector autoregressive state space modeling of community interactions in a Bayesian framework
  ☆10Updated 3 years ago
• ElliotDovers / scampr
  Spatially Correlated, Approximate Modelling of Point patterns in R
  ☆15Updated 10 months ago
• hturner / gnm
  gnm package for generalized nonlinear models in R
  ☆16Updated 10 months ago
• nt-williams / adjrct
  Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions
  ☆12Updated 3 years ago
• nicholasjclark / physalia-forecasting-course
  Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
  ☆36Updated 6 months ago
• Pakillo / Bayes-R-JAGS-intro
  An introduction to hierarchical Bayesian modelling with R, JAGS and STAN
  ☆21Updated 6 years ago
• TheoMichelot / smoothSDE
  Fit stochastic differential equation models with time-varying parameters
  ☆15Updated 7 months ago
• stefanocoretta / tidygam
  ☆16Updated last month
• mfasiolo / qgam
  Additive quantile regression R package
  ☆30Updated 4 months ago
• hendersontrent / Rcatch22
  R package for calculation of 22 CAnonical Time-series CHaracteristics
  ☆22Updated 3 months ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated 7 months ago
• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆40Updated 6 years ago