| Name : R-htmcglm
| |
| Version : 0.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.6.7
| Date : 2024-06-14 12:14:44
|
| Group : Development/Libraries/Other
| Source RPM : R-htmcglm-0.0.1-lp153.6.7.src.rpm
|
| Size : 0.10 MB
| |
| Packager : (none)
| |
| Summary : Hypothesis Testing for McGLMs
|
Description :
Performs hypothesis testing for multivariate covariance generalized
linear models (McGLMs). McGLM is a general framework for non-normal
multivariate data analysis, designed to handle multivariate response
variables, along with a wide range of temporal and spatial correlation
structures defined in terms of a covariance link function combined with
a matrix linear predictor involving known matrices. The models take
non-normality into account in the conventional way by means of a
variance function, and the mean structure is modelled by means of a
link function and a linear predictor. The models are fitted using an
efficient Newton scoring algorithm based on quasi-likelihood and
Pearson estimating functions, using only second-moment assumptions.
This provides a unified approach to a wide variety of different types
of response variables and covariance structures, including multivariate
extensions of repeated measures, time series, longitudinal, spatial and
spatio-temporal structures. The package offers a user-friendly
interface for fitting McGLMs similar to the glm() R function.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
