Package: lacm 0.1.1
lacm: Latent Autoregressive Count Models
Perform pairwise likelihood inference in latent autoregressive count models. See Pedeli and Varin (2020) for details.
Authors:
lacm_0.1.1.tar.gz
lacm_0.1.1.zip(r-4.5)lacm_0.1.1.zip(r-4.4)lacm_0.1.1.zip(r-4.3)
lacm_0.1.1.tgz(r-4.4-x86_64)lacm_0.1.1.tgz(r-4.4-arm64)lacm_0.1.1.tgz(r-4.3-x86_64)lacm_0.1.1.tgz(r-4.3-arm64)
lacm_0.1.1.tar.gz(r-4.5-noble)lacm_0.1.1.tar.gz(r-4.4-noble)
lacm_0.1.1.tgz(r-4.4-emscripten)lacm_0.1.1.tgz(r-4.3-emscripten)
lacm.pdf |lacm.html✨
lacm/json (API)
| # Install 'lacm' in R: |
| install.packages('lacm', repos = c('https://crisvarin.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- polio - Polio Time Series
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:9cae798b73. Checks:OK: 7 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 07 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-win-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-aarch64 | OK | Nov 07 2024 |
| R-4.3-win-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Composite Likelihood Information Criterion | CLIC |
| Fitting Latent Autoregressive Count Models by Maximum Pairwise Likelihood | lacm |
| Polio Time Series | polio |
| Methods for 'lacm' Objects | coef.lacm print.lacm simulate.lacm summary.lacm vcov.lacm |
