| Name : R-PLRModels
| |
| Version : 1.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:02:35
|
| Group : Development/Libraries/Other
| Source RPM : R-PLRModels-1.4-lp153.1.5.src.rpm
|
| Size : 0.29 MB
| |
| Packager : (none)
| |
| Summary : Statistical Inference in Partial Linear Regression Models
|
Description :
Contains statistical inference tools applied to Partial Linear
Regression (PLR) models. Specifically, point estimation, confidence
intervals estimation, bandwidth selection, goodness-of-fit tests and
analysis of covariance are considered. Kernel-based methods, combined
with ordinary least squares estimation, are used and time series errors
are allowed. In addition, these techniques are also implemented for
both parametric (linear) and nonparametric regression models.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
