| Name : R-hierarchicalDS
| |
| Version : 3.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.14.5
| Date : 2024-06-14 12:16:16
|
| Group : Development/Libraries/Other
| Source RPM : R-hierarchicalDS-3.0-lp153.14.5.src.rpm
|
| Size : 3.84 MB
| |
| Packager : (none)
| |
| Summary : Functions to Perform Hierarchical Analysis of Distance Sampling Data
|
Description :
Functions for performing hierarchical analysis of distance sampling
data, with ability to use an areal spatial ICAR model on top of user
supplied covariates to get at variation in abundance intensity. The
detection model can be specified as a function of observer and
individual covariates, where a parametric model is supposed for the
population level distribution of covariate values. The model uses data
augmentation and a reversible jump MCMC algorithm to sample animals
that were never observed. Also included is the ability to include
point independence (increasing correlation multiple observer\'s
observations as a function of distance, with independence assumed for
distance=0 or first distance bin), as well as the ability to model
species misclassification rates using a multinomial logit formulation
on data from double observers. There is also the the ability to
include zero inflation, but this is only recommended for cases where
sample sizes and spatial coverage of the survey are high.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
