| Name : R-NSAE
| |
| Version : 0.4.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.8
| Date : 2024-06-14 11:41:11
|
| Group : Development/Libraries/Other
| Source RPM : R-NSAE-0.4.0-lp153.2.8.src.rpm
|
| Size : 0.20 MB
| |
| Packager : (none)
| |
| Summary : Nonstationary Small Area Estimation
|
Description :
Executes nonstationary Fay-Herriot model and nonstationary generalized
linear mixed model for small area estimation.The empirical best linear
unbiased predictor (EBLUP) under stationary and nonstationary
Fay-Herriot models and empirical best predictor (EBP) under
nonstationary generalized linear mixed model along with the mean
squared error estimation are included. EBLUP for prediction of
non-sample area is also included under both stationary and
nonstationary Fay-Herriot models. This extension to the Fay-Herriot
model that accounts for the presence of spatial nonstationarity was
developed by Hukum Chandra, Nicola Salvati and Ray Chambers (2015)
< doi:10.1093/jssam/smu026> and nonstationary generalized linear mixed
model was developed by Hukum Chandra, Nicola Salvati and Ray Chambers
(2017) < doi:10.1016/j.spasta.2017.01.004>. This package is dedicated to
the memory of Dr. Hukum Chandra who passed away while the package
creation was in progress.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
