| Name : R-ZIM
| |
| Version : 1.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:05:08
|
| Group : Development/Libraries/Other
| Source RPM : R-ZIM-1.1.0-lp153.2.13.src.rpm
|
| Size : 0.15 MB
| |
| Packager : (none)
| |
| Summary : Zero-Inflated Models (ZIM) for Count Time Series with Excess Zeros
|
Description :
Analyze count time series with excess zeros. Two types of statistical
models are supported: Markov regression by Yang et al. (2013)
< doi:10.1016/j.stamet.2013.02.001> and state-space models by Yang et
al. (2015) < doi:10.1177/1471082X14535530>. They are also known as
observation-driven and parameter-driven models respectively in the time
series literature. The functions used for Markov regression or
observation-driven models can also be used to fit ordinary regression
models with independent data under the zero-inflated Poisson (ZIP) or
zero-inflated negative binomial (ZINB) assumption. Besides, the package
contains some miscellaneous functions to compute density, distribution,
quantile, and generate random numbers from ZIP and ZINB distributions.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
