Package: fishMod 0.29.2
fishMod: Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta Log-Normal Models
Fits models to catch and effort data. Single-species models are 1) delta log-normal, 2) Tweedie, or 3) Poisson-gamma (G)LMs.
Authors:
fishMod_0.29.2.tar.gz
fishMod_0.29.2.zip(r-4.5)fishMod_0.29.2.zip(r-4.4)fishMod_0.29.2.zip(r-4.3)
fishMod_0.29.2.tgz(r-4.4-x86_64)fishMod_0.29.2.tgz(r-4.4-arm64)fishMod_0.29.2.tgz(r-4.3-x86_64)fishMod_0.29.2.tgz(r-4.3-arm64)
fishMod_0.29.2.tar.gz(r-4.5-noble)fishMod_0.29.2.tar.gz(r-4.4-noble)
fishMod_0.29.2.tgz(r-4.4-emscripten)fishMod_0.29.2.tgz(r-4.3-emscripten)
fishMod.pdf |fishMod.html✨
fishMod/json (API)
# Install 'fishMod' in R: |
install.packages('fishMod', repos = c('https://scott-foster.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:565a034706. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win-x86_64 | OK | Nov 01 2024 |
R-4.5-linux-x86_64 | OK | Nov 01 2024 |
R-4.4-win-x86_64 | OK | Nov 01 2024 |
R-4.4-mac-x86_64 | OK | Nov 01 2024 |
R-4.4-mac-aarch64 | OK | Nov 01 2024 |
R-4.3-win-x86_64 | OK | Nov 01 2024 |
R-4.3-mac-x86_64 | OK | Nov 01 2024 |
R-4.3-mac-aarch64 | OK | Nov 01 2024 |
Exports:deltaLNdPoisGamdPoisGamDerivsdTweediepgmpPoisGampTweedierPoisGamrTweediesimRegtglmtglm.fitTigerFlathead
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
How to use fishMod | fishMod-package fishMod |
Fitting models based on the Delta Log-Normal distribution. | deltaLN |
Density, derivatives, distribution function, and random generation for the Poisson-Gamma distribution. | dPoisGam dPoisGamDerivs pPoisGam rPoisGam |
Density, derivatives, distribution function, and random generation for the Tweedie distribution. | dTweedie pTweedie rTweedie |
Fitting models based on the Poisson-Gamma model. | pgm |
Simulate Poisson-Gamma data whose component means vary with covariates. | simReg |
Fits a Tweedie GLM via maximum likelihood. | tglm tglm.fit |
Data for Tiger Flathead in South East Survey | TigerFlathead |