| Name : R-pleLMA
| |
| Version : 0.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.8.1
| Date : 2024-09-10 06:34:36
|
| Group : Development/Libraries/Other
| Source RPM : R-pleLMA-0.2.1-lp154.8.1.src.rpm
|
| Size : 0.35 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Pseudo-Likelihood Estimation of Log-Multiplicative Association Models
|
Description :
Log-multiplicative association models (LMA) are models for
cross-classifications of categorical variables where interactions are
represented by products of category scale values and an association
parameter. Maximum likelihood estimation (MLE) fails for moderate to
large numbers of categorical variables. The \'pleLMA\' package overcomes
this limitation of MLE by using pseudo-likelihood estimation to fit the
models to small or large cross-classifications dichotomous or
multi-category variables. Originally proposed by Besag (1974,
< doi:10.1111/j.2517-6161.1974.tb00999.x>), pseudo-likelihood estimation
takes large complex models and breaks it down into smaller ones. Rather
than maximizing the likelihood of the joint distribution of all the
variables, a pseudo-likelihood function, which is the product
likelihoods from conditional distributions, is maximized. LMA models
can be derived from a number of different frameworks including (but not
limited to) graphical models and uni-dimensional and multi-dimensional
item response theory models. More details about the models and
estimation can be found in the vignette.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
