scheidan / adaptMCMCLinks
R package that provides an implementation of the generic adaptive Monte Carlo Markov chain sampler proposed by Vihola (2011).
☆10Updated 2 years ago
Alternatives and similar repositories for adaptMCMC
Users that are interested in adaptMCMC are comparing it to the libraries listed below
Sorting:
- Rcpp Example for accessing NLopt☆14Updated last week
- A friendly MCMC framework☆16Updated last month
- Highest density regions and conditional density estimation☆25Updated 3 weeks ago
- Fit stochastic differential equation models with time-varying parameters☆15Updated 2 weeks ago
- Disciplined Convex Programming in R using Convex.jl.☆14Updated 7 years ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆26Updated 3 months ago
- Slides and code for Bayesian nonparametrics in R and Julia☆55Updated 10 years ago
- Simulation-based Inference for Epidemiological Dynamics☆26Updated 9 months ago
- Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo☆15Updated 9 years ago
- Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.☆13Updated 3 years ago
- Towards a more flexible BART☆23Updated this week
- Case studies in applied and computational statistics.☆39Updated last week
- ☆12Updated 7 years ago
- R package for statistical inference using panelPOMPs (panel Partially Observed Markov Processes)☆10Updated last year
- R package for bridge sampling☆34Updated 2 months ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- R interface for OSQP☆13Updated last year
- Interface to Lanczos SVD and eigensolvers from R☆27Updated last year
- Targeted inference (R package) https://kkholst.github.io/targeted/☆12Updated last week
- General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() s…☆21Updated 4 months ago
- An R package to manipulate MCMC samples☆17Updated 8 months ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 7 months ago
- R package mcmc (public version on CRAN)☆19Updated last year
- Tools for automatically generating local sensitivity measures in Stan.☆37Updated 5 years ago
- Automatic Differentiation for R☆23Updated 7 years ago
- Iterate multiple realisations of stochastic models☆20Updated 5 months ago
- statistical models to analyze diagnostic tests☆16Updated 5 years ago
- Examples on INLA within MCMC☆12Updated 8 years ago
- Automatic forecasting and Bayesian modeling for time series with Stan☆46Updated 8 months ago
- A reimplementation of the fastLm function of RcppEigen for big.matrix objects for fast out-of-memory linear model fitting☆13Updated 8 years ago