Package: acp 2.1

Siakoulis Vasilios

acp: Autoregressive Conditional Poisson

Analysis of count data exhibiting autoregressive properties, using the Autoregressive Conditional Poisson model (ACP(p,q)) proposed by Heinen (2003).

Authors:Siakoulis Vasileios

acp_2.1.tar.gz
acp_2.1.tar.gz(r-4.5-noble)acp_2.1.tar.gz(r-4.4-noble)
acp_2.1.tgz(r-4.4-emscripten)acp_2.1.tgz(r-4.3-emscripten)
acp.pdf |acp.html
acp/json (API)

# Install 'acp' in R:
install.packages('acp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • polio - Polio cases in USA from Jan 1970 till Dec 1983

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

9 exports 0.00 score 9 dependencies 7 scripts 427 downloads

Last updated 9 years agofrom:43c408554e. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-linuxOKSep 08 2024

Exports:acpacp.defaultacp.formulaBerkowitzevaluationpredict.acpprint.acpprint.summary.acpsummary.acp

Dependencies:curljsonlitelatticequadprogquantmodtseriesTTRxtszoo

Readme and manuals

Help Manual

Help pageTopics
Autoregressive Conditional Poisson (ACP) Regressionacp acp.default acp.formula predict.acp print.acp print.summary.acp summary.acp
Berkowitz testBerkowitz
acp Evaluationevaluation
Polio cases in USA from Jan 1970 till Dec 1983polio