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:
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')) |
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.
Last updated 9 years agofrom:43c408554e. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 07 2024 |
R-4.5-linux | OK | Dec 07 2024 |
Exports:acpacp.defaultacp.formulaBerkowitzevaluationpredict.acpprint.acpprint.summary.acpsummary.acp
Dependencies:curljsonlitelatticequadprogquantmodtseriesTTRxtszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Autoregressive Conditional Poisson (ACP) Regression | acp acp.default acp.formula predict.acp print.acp print.summary.acp summary.acp |
Berkowitz test | Berkowitz |
acp Evaluation | evaluation |
Polio cases in USA from Jan 1970 till Dec 1983 | polio |