mhahsler / pomdp
R package for Partially Observable Markov Decision Processes
☆18Updated 2 weeks ago
Alternatives and similar repositories for pomdp:
Users that are interested in pomdp are comparing it to the libraries listed below
- Gaussian process modeling in R☆16Updated 2 years ago
- Hierarchical Dirichlet Process Generalized Linear Models☆12Updated last year
- Multivariate spatial models for lattice data with INLA☆21Updated 3 years ago
- Bayesian DFA with Stan☆29Updated last month
- Differential evolution in R☆29Updated 2 years ago
- Fit stochastic differential equation models with time-varying parameters☆15Updated last week
- homework problems from the 2nd edition of Statistical Rethinking by Richard McElreath worked in R-INLA☆24Updated 3 years ago
- Tools for building new GAM models in mgcv☆14Updated last week
- Meshed GP for Bayesian spatial big data regression☆13Updated 8 months ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆25Updated 7 months ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated 10 months ago
- A 6 hour course on Stan with Dan Simpson, Vianey Leos-Barajas, and Andrew MacDonald☆20Updated 4 years ago
- Bayesian Inference of Complex Panel Data☆29Updated 2 weeks ago
- ☆30Updated 2 months ago
- Examples on INLA within MCMC☆11Updated 7 years ago
- ☆16Updated 6 years ago
- Course materials for WILD6900: Applied Bayesian Analysis for Ecological Data☆15Updated last year
- HMC and other derivative-based MCMC sampling algorithms for the nimble package☆13Updated 2 months ago
- Seems like, there isn’t enough Bayesian power analysis talk out there. Let’s change that.☆23Updated 5 years ago
- ☆9Updated 8 years ago
- R scripts for custom brms families☆14Updated 9 months ago
- An R package to help assess the sensitivity of a Bayesian model (fitted with Stan) to the specification of its likelihood and priors☆10Updated 2 weeks ago
- Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.☆12Updated 2 years ago
- Helper package to assist in running simulation studies☆11Updated 2 weeks ago
- Additive quantile regression R package☆33Updated last week
- ☆16Updated 4 months ago
- Stand alone markdowns with embedded shiny apps for various eco&epi models☆24Updated last year
- This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.☆28Updated last year
- Fast methods for multivariate normal distributions☆33Updated last year
- Reproducible Bayesian data analysis pipelines with targets and JAGS☆10Updated 4 months ago