Package: mra 2.16.11

Trent McDonald

mra: Mark-Recapture Analysis

Accomplishes mark-recapture analysis with covariates. Models available include the Cormack-Jolly-Seber open population (Cormack (1972) <doi:10.2307/2556151>; Jolly (1965) <doi:10.2307/2333826>; Seber (1965) <doi:10.2307/2333827>) and Huggin's (1989) <doi:10.2307/2336377> closed population. Link functions include logit, sine, and hazard. Model selection, model averaging, plot, and simulation routines included. Open population size by the Horvitz-Thompson (1959) <doi:10.2307/2280784> estimator.

Authors:Trent McDonald [cre, aut], Eric Regehr [ctb], Bryan Manly [ctb], Jeff Bromaghin [ctb]

mra_2.16.11.tar.gz
mra_2.16.11.tar.gz(r-4.5-noble)mra_2.16.11.tar.gz(r-4.4-noble)
mra_2.16.11.tgz(r-4.4-emscripten)mra_2.16.11.tgz(r-4.3-emscripten)
mra.pdf |mra.html✨
mra/json (API)

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

Peer review:

Bug tracker:https://github.com/tmcd82070/mra/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:

2.67 score 47 scripts 347 downloads 15 exports 0 dependencies

Last updated 7 years agofrom:093559f232. Checks:OK: 1 ERROR: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 15 2024
R-4.5-linux-x86_64ERROROct 15 2024

Exports:F.3d.model.matrixF.cjs.covarsF.cjs.estimF.cjs.gofF.cjs.simulateF.cr.model.avgF.cr.model.matrixF.fit.tableF.huggins.estimF.sat.likF.step.cjsF.update.dfivarmra.controltvar

Dependencies:

CJS Modeling in MRA

Trent McDonald

Rendered fromCJS_examples.Rmdusingknitr::rmarkdownon Oct 15 2024.

Last update: 2017-10-05
Started: 2017-10-05