| Name : R-EMSNM
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:00:30
|
| Group : Development/Libraries/Other
| Source RPM : R-EMSNM-1.0-lp153.2.13.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : EM Algorithm for Sigmoid Normal Model
|
Description :
It provides a method based on EM algorithm to estimate the parameter of
a mixture model, Sigmoid-Normal Model, where the samples come from
several normal distributions (also call them subgroups) whose mean is
determined by co-variable Z and coefficient alpha while the variance
are homogeneous. Meanwhile, the subgroup each item belongs to is
determined by co-variables X and coefficient eta through Sigmoid link
function which is the extension of Logistic Link function. It uses
bootstrap to estimate the standard error of parameters. When sample is
indeed separable, removing estimation with abnormal sigma, the
estimation of alpha is quite well. I used this method to explore the
subgroup structure of HIV patients and it can be used in other domains
where exists subgroup structure.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
