hdtg
Generate Samples from Multivariate Truncated Normal Distributions
Efficient sampling from high-dimensional truncated Gaussian distributions, or multivariate truncated normal (MTN). Techniques include zigzag Hamiltonian Monte Carlo as in Akihiko Nishimura, Zhenyu Zhang and Marc A. Suchard (2024) <doi:10.1080/01621459.2024.2395587>, and harmonic Monte Carlo in Ari Pakman and Liam Paninski (2014) <doi:10.1080/10618600.2013.788448>.
- Version0.3.3
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- hdtg citation info
- Last releaselast Monday at 12:00 AM
Documentation
Team
Zhenyu Zhang
MaintainerShow author detailsJohn W. Ratcliff et al.
Show author detailsRolesCopyright holder, ContributorMarc A. Suchard
Show author detailsRolesAuthorAndrew Chin
Show author detailsRolesAuthorAkihiko Nishimura
Show author detailsRolesAuthor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN