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-4.7)fishMod_0.29.2.zip(r-4.6)fishMod_0.29.2.zip(r-4.5)
fishMod_0.29.2.tgz(r-4.6-x86_64)fishMod_0.29.2.tgz(r-4.6-arm64)fishMod_0.29.2.tgz(r-4.5-x86_64)fishMod_0.29.2.tgz(r-4.5-arm64)
fishMod_0.29.2.tar.gz(r-4.7-arm64)fishMod_0.29.2.tar.gz(r-4.7-x86_64)fishMod_0.29.2.tar.gz(r-4.6-arm64)fishMod_0.29.2.tar.gz(r-4.6-x86_64)
fishMod_0.29.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:565a034706. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 98 | ||
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 136 | ||
| linux-release-arm64 | OK | 96 | ||
| linux-release-x86_64 | OK | 98 | ||
| macos-release-arm64 | OK | 84 | ||
| macos-release-x86_64 | OK | 132 | ||
| macos-oldrel-arm64 | OK | 78 | ||
| macos-oldrel-x86_64 | OK | 148 | ||
| windows-devel | OK | 73 | ||
| windows-release | OK | 65 | ||
| windows-oldrel | OK | 62 | ||
| wasm-release | OK | 94 |
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 |
