| Name : R-lsm
| |
| Version : 0.2.1.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.2
| Date : 2024-06-14 11:54:18
|
| Group : Development/Libraries/Other
| Source RPM : R-lsm-0.2.1.4-lp153.1.2.src.rpm
|
| Size : 0.14 MB
| |
| Packager : (none)
| |
| Summary : Estimation of the log Likelihood of the Saturated Model
|
Description :
When the values of the outcome variable Y are either 0 or 1, the
function lsm() calculates the estimation of the log likelihood in the
saturated model. This model is characterized by Llinas (2006,
ISSN:2389-8976) in section 2.3 through the assumptions 1 and 2. The
function LogLik() works (almost perfectly) when the number of
independent variables K is high, but for small K it calculates wrong
values in some cases. For this reason, when Y is dichotomous and the
data are grouped in J populations, it is recommended to use the
function lsm() because it works very well for all K.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
