| Name : R-gldrm
| |
| Version : 1.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:09:34
|
| Group : Development/Libraries/Other
| Source RPM : R-gldrm-1.6-lp153.1.4.src.rpm
|
| Size : 0.11 MB
| |
| Packager : (none)
| |
| Summary : Generalized Linear Density Ratio Models
|
Description :
Fits a generalized linear density ratio model (GLDRM). A GLDRM is a
semiparametric generalized linear model. In contrast to a GLM, which
assumes a particular exponential family distribution, the GLDRM uses a
semiparametric likelihood to estimate the reference distribution. The
reference distribution may be any discrete, continuous, or mixed
exponential family distribution. The model parameters, which include
both the regression coefficients and the cdf of the unspecified
reference distribution, are estimated by maximizing a semiparametric
likelihood. Regression coefficients are estimated with no loss of
efficiency, i.e. the asymptotic variance is the same as if the true
exponential family distribution were known. Huang (2014)
< doi:10.1080/01621459.2013.824892>. Huang and Rathouz (2012)
< doi:10.1093/biomet/asr075>. Rathouz and Gao (2008)
< doi:10.1093/biostatistics/kxn030>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
