| Name : R-LMMstar
| |
| Version : 1.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.2.1
| Date : 2024-06-24 15:29:23
|
| Group : Development/Libraries/Other
| Source RPM : R-LMMstar-1.1.0-lp156.2.1.src.rpm
|
| Size : 5.81 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Repeated Measurement Models for Discrete Times
|
Description :
Companion R package for the course \"Statistical analysis of correlated
and repeated measurements for health science researchers\" taught by the
section of Biostatistics of the University of Copenhagen. It implements
linear mixed models where the model for the variance-covariance of the
residuals is specified via patterns (compound symmetry, toeplitz,
unstructured, ...). Statistical inference for mean, variance, and
correlation parameters is performed based on the observed information
and a Satterthwaite approximation of the degrees of freedom. Normalized
residuals are provided to assess model misspecification. Statistical
inference can be performed for arbitrary linear or non-linear
combination(s) of model coefficients. Predictions can be computed
conditional to covariates only or also to outcome values.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
