| Name : R-VGAM
| |
| Version : 1.1.12
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.1
| Date : 2024-09-23 10:40:09
|
| Group : Development/Libraries/Other
| Source RPM : R-VGAM-1.1.12-lp153.1.1.src.rpm
|
| Size : 7.96 MB
| |
| Packager : (none)
| |
| Summary : Vector Generalized Linear and Additive Models
|
Description :
An implementation of about 6 major classes of statistical regression
models. The central algorithm is Fisher scoring and iterative
reweighted least squares. At the heart of this package are the vector
generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be
loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs
that use smoothing. The book \"Vector Generalized Linear and Additive
Models: With an Implementation in R\" (Yee, 2015)
< DOI:10.1007/978-1-4939-2818-7> gives details of the statistical
framework and the package. Currently only fixed-effects models are
implemented. Many (100+) models and distributions are estimated by
maximum likelihood estimation (MLE) or penalized MLE. The other classes
are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, doubly
constrained RR-VGLMs, quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs
(row-column interaction models)---these classes perform constrained and
unconstrained quadratic ordination (CQO/UQO) models in ecology, as well
as constrained additive ordination (CAO). Hauck-Donner effect detection
is implemented. Note that these functions are subject to change; see
the NEWS and ChangeLog files for latest changes.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
