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:Lionel Riou-Durand [aut, cre]

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'))

Peer review:

Bug tracker:https://github.com/lrioudurand/malt/issues

On CRAN:

3.30 score 3 exports 2 dependencies

Last updated 2 years agofrom:cb291ee5c4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winOKNov 17 2024
R-4.5-linuxOKNov 17 2024
R-4.4-winOKNov 17 2024
R-4.4-macOKNov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:ess_summarymalttrajectory

Dependencies:codalattice

Assessing the sampling efficiency

Rendered fromb_ess.Rmdusingknitr::rmarkdownon Nov 17 2024.

Last update: 2022-07-28
Started: 2022-07-28

Beyond the convex framework

Rendered frome_non_convex.Rmdusingknitr::rmarkdownon Nov 17 2024.

Last update: 2022-07-28
Started: 2022-07-28

Fitting a logistic regression

Rendered fromc_logistic_regression.Rmdusingknitr::rmarkdownon Nov 17 2024.

Last update: 2022-07-28
Started: 2022-07-28

Introduction to malt

Rendered froma_introduction.Rmdusingknitr::rmarkdownon Nov 17 2024.

Last update: 2022-07-28
Started: 2022-07-28

Readme and manuals

Help Manual

Help pageTopics
ess_summaryess_summary
maltmalt
print.maltprint.malt
trajectorytrajectory