| Name : R-PLreg
| |
| Version : 0.4.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.7
| Date : 2024-06-14 11:57:38
|
| Group : Development/Libraries/Other
| Source RPM : R-PLreg-0.4.1-lp153.1.7.src.rpm
|
| Size : 0.19 MB
| |
| Packager : (none)
| |
| Summary : Power Logit Regression for Modeling Bounded Data
|
Description :
Power logit regression models for bounded continuous data, in which the
density generator may be normal, Student-t, power exponential, slash,
hyperbolic, sinh-normal, or type II logistic. Diagnostic tools
associated with the fitted model, such as the residuals, local
influence measures, leverage measures, and goodness-of-fit statistics,
are implemented. The estimation process follows the maximum likelihood
approach and, currently, the package supports two types of estimators:
the usual maximum likelihood estimator and the penalized maximum
likelihood estimator. More details about power logit regression models
are described in Queiroz and Ferrari (2022) < arXiv:2202.01697>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
