Package: malt 0.9
malt: Metropolis Adjusted Langevin Trajectories
Implements the sampling algorithm: Metropolis Adjusted Langevin Trajectories (Riou-Durand and Vogrinc 2022). Details available at: <arxiv:2202.13230>. The MALT algorithm is a robust extension of Hamiltonian Monte Carlo, for which robustness of tuning is enabled by a positive choice of damping parameter (a.k.a friction).
Authors:
malt_0.9.tar.gz
malt_0.9.zip(r-4.5)malt_0.9.zip(r-4.4)malt_0.9.zip(r-4.3)
malt_0.9.tgz(r-4.4-any)malt_0.9.tgz(r-4.3-any)
malt_0.9.tar.gz(r-4.5-noble)malt_0.9.tar.gz(r-4.4-noble)
malt_0.9.tgz(r-4.4-emscripten)malt_0.9.tgz(r-4.3-emscripten)
malt.pdf |malt.html✨
malt/json (API)
# Install 'malt' in R: |
install.packages('malt', repos = c('https://lrioudurand.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lrioudurand/malt/issues
Last updated 2 years agofrom:cb291ee5c4. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:ess_summarymalttrajectory
Assessing the sampling efficiency
Rendered fromb_ess.Rmd
usingknitr::rmarkdown
on Nov 17 2024.Last update: 2022-07-28
Started: 2022-07-28
Beyond the convex framework
Rendered frome_non_convex.Rmd
usingknitr::rmarkdown
on Nov 17 2024.Last update: 2022-07-28
Started: 2022-07-28
Fitting a logistic regression
Rendered fromc_logistic_regression.Rmd
usingknitr::rmarkdown
on Nov 17 2024.Last update: 2022-07-28
Started: 2022-07-28
Introduction to malt
Rendered froma_introduction.Rmd
usingknitr::rmarkdown
on Nov 17 2024.Last update: 2022-07-28
Started: 2022-07-28
Readme and manuals
Help Manual
Help page | Topics |
---|---|
ess_summary | ess_summary |
malt | malt |
print.malt | print.malt |
trajectory | trajectory |