| Name : R-NPMLENCC
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:03:03
|
| Group : Development/Libraries/Other
| Source RPM : R-NPMLENCC-1.0-lp153.2.13.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : Non-Parametric Maximum Likelihood Estimate for Cohort Samplings
|
Description :
To compute the non-parametric maximum likelihood estimates (NPMLEs) and
penalized NPMLEs with SCAD, HARD and LASSO penalties for nested
case-control or case-cohort sampling design with time matching under
Cox\'s regression model. It also proposes the standard error formula for
estimator using observed profile likelihood. For details about
(penalized) NPNLEs see the original paper \"Penalized Full Likelihood
Approach to Variable Selection for Cox\'s Regression Model under Nested
Case-Control Sampling\" by Wang et al. (2019)
< doi:10.1007/s10985-019-09475-z>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
