| Name : R-mlmtools
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| Version : 1.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp155.7.1
| Date : 2024-06-20 18:44:43
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| Group : Development/Libraries/Other
| Source RPM : R-mlmtools-1.0.2-lp155.7.1.src.rpm
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| Size : 0.96 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Multi-Level Model Assessment Kit
|
Description :
Multilevel models (mixed effects models) are the statistical tool of
choice for analyzing multilevel data (Searle et al, 2009). These models
account for the correlated nature of observations within higher level
units by adding group-level error terms that augment the singular
residual error of a standard OLS regression. Multilevel and mixed
effects models often require specialized data pre-processing and
further post-estimation derivations and graphics to gain insight into
model results. The package presented here, \'mlmtools\', is a suite of
pre- and post-estimation tools for multilevel models in \'R\'. Package
implements post-estimation tools designed to work with models estimated
using \'lme4\'\'s (Bates et al., 2014) lmer() function, which fits linear
mixed effects regression models. Searle, S. R., Casella, G., &
McCulloch, C. E. (2009, ISBN:978-0470009598). Bates, D., Mächler, M.,
Bolker, B., & Walker, S. (2014) < doi:10.18637/jss.v067.i01>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
