| Name : R-scorematchingad
| |
| Version : 0.0.64
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.1.3
| Date : 2024-09-10 19:32:29
|
| Group : Development/Libraries/Other
| Source RPM : R-scorematchingad-0.0.64-lp155.1.3.src.rpm
|
| Size : 1.29 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Score Matching Estimation by Automatic Differentiation
|
Description :
Hyvärinen\'s score matching (Hyvärinen, 2005)
< https://jmlr.org/papers/v6/hyvarinen05a.html> is a useful estimation
technique when the normalising constant for a probability distribution
is difficult to compute. This package implements score matching
estimators using automatic differentiation in the \'CppAD\' library
< https://github.com/coin-or/CppAD> and is designed for quickly
implementing score matching estimators for new models. Also available
is general robustification (Windham, 1995)
< https://www.jstor.org/stable/2346159>. Already in the package are
estimators for directional distributions (Mardia, Kent and Laha, 2016)
< doi:10.48550/arXiv.1604.08470> and the flexible Polynomially-Tilted
Pairwise Interaction model for compositional data. The latter
estimators perform well when there are zeros in the compositions
(Scealy and Wood, 2023) < doi:10.1080/01621459.2021.2016422>, even many
zeros (Scealy, Hingee, Kent, and Wood, 2024)
< doi:10.1007/s11222-024-10412-w>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
