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]

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mra.pdf |mra.html
mra/json (API)

# Install 'mra' in R:
install.packages('mra', repos = c('https://tmcd82070.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:

On CRAN:

4.37 score 47 scripts 241 downloads 15 exports 0 dependencies

Last updated 7 years agofrom:34aefdd533. Checks:OK: 1 ERROR: 2 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-win-x86_64ERROROct 31 2024
R-4.5-linux-x86_64ERROROct 31 2024
R-4.4-win-x86_64NOTEOct 31 2024
R-4.4-mac-x86_64NOTEOct 31 2024
R-4.4-mac-aarch64NOTEOct 31 2024
R-4.3-win-x86_64NOTEOct 31 2024
R-4.3-mac-x86_64NOTEOct 31 2024
R-4.3-mac-aarch64NOTEOct 31 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

Rendered fromCJS_examples.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2017-10-04
Started: 2017-10-04