The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Heterogeneity pursuit methodologies for regularized finite mixture regression by effects-model formulation proposed by Li et al. (2021) <doi:10.48550/arXiv.2003.04787>.
Version: | 0.0-1 |
Depends: | R (≥ 3.4.0) |
Imports: | utils, flexmix, glmnet, MASS, Rcpp (≥ 0.12.0), abind |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2021-02-01 |
DOI: | 10.32614/CRAN.package.fmerPack |
Author: | Yan Li [aut, cre], Kun Chen [aut] |
Maintainer: | Yan Li <yan.4.li at uconn.edu> |
License: | GPL (≥ 3.0) |
NeedsCompilation: | yes |
CRAN checks: | fmerPack results |
Reference manual: | fmerPack.pdf |
Package source: | fmerPack_0.0-1.tar.gz |
Windows binaries: | r-devel: fmerPack_0.0-1.zip, r-release: fmerPack_0.0-1.zip, r-oldrel: fmerPack_0.0-1.zip |
macOS binaries: | r-release (arm64): fmerPack_0.0-1.tgz, r-oldrel (arm64): fmerPack_0.0-1.tgz, r-release (x86_64): fmerPack_0.0-1.tgz, r-oldrel (x86_64): fmerPack_0.0-1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=fmerPack to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.