| Name : R-hurdlr
| |
| Version : 0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:09:59
|
| Group : Development/Libraries/Other
| Source RPM : R-hurdlr-0.1-lp153.2.13.src.rpm
|
| Size : 0.10 MB
| |
| Packager : (none)
| |
| Summary : Zero-Inflated and Hurdle Modelling Using Bayesian Inference
|
Description :
When considering count data, it is often the case that many more zero
counts than would be expected of some given distribution are observed.
It is well established that data such as this can be reliably modelled
using zero-inflated or hurdle distributions, both of which may be
applied using the functions in this package. Bayesian analysis methods
are used to best model problematic count data that cannot be fit to any
typical distribution. The package functions are flexible and versatile,
and can be applied to varying count distributions, parameter estimation
with or without explanatory variable information, and are able to allow
for multiple hurdles as it is also not uncommon that count data have an
abundance of large-number observations which would be considered
outliers of the typical distribution. In lieu of throwing out data or
misspecifying the typical distribution, these extreme observations can
be applied to a second, extreme distribution. With the given functions
of this package, such a two-hurdle model may be easily specified in
order to best manage data that is both zero-inflated and
over-dispersed.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
