CRAN/E | tscount

tscount

Analysis of Count Time Series

Installation

About

Likelihood-based methods for model fitting and assessment, prediction and intervention analysis of count time series following generalized linear models are provided. Models with the identity and with the logarithmic link function are allowed. The conditional distribution can be Poisson or Negative Binomial.

Citation tscount citation info
tscount.r-forge.r-project.org

Key Metrics

Version 1.4.3
Published 2020-09-08 1319 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks tscount results

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Maintainer

Maintainer

Tobias Liboschik

liboschik@statistik.tu-dortmund.de

Authors

Tobias Liboschik

aut / cre

Rol
Fried

aut

Konstantinos Fokianos

aut

Philipp Probst

aut

Jonathan Rathjens

ctb

Material

NEWS
Reference manual
Package source

In Views

TimeSeries

Vignettes

tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tscount archive

Imports

parallel
ltsa

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