Package: marked
Version: 1.2.6
Date: 2019-12-07
Title: Mark-Recapture Analysis for Survival and Abundance Estimation
Author: Jeff Laake <jefflaake@gmail.com>, Devin Johnson
    <devin.johnson@noaa.gov>, Paul Conn <paul.conn@noaa.gov>, example for simHMM
    from Jay Rotella
Maintainer: Jeff Laake <jefflaake@gmail.com>
Description: Functions for fitting various models to capture-recapture data
    including mixed-effects Cormack-Jolly-Seber(CJS) and multistate models and
    the multi-variate state model structure for survival
    estimation and POPAN structured Jolly-Seber models for abundance estimation.
    There are also Hidden Markov model (HMM) implementations of CJS and multistate
    models with and without state uncertainty and a simulation capability for HMM
    models.
Depends: R (>= 3.5.0), lme4, methods, parallel
Imports: graphics, stats, utils, R2admb, truncnorm, coda, Matrix,
        numDeriv, expm, Rcpp (>= 0.9.13), TMB, optimx (>= 2013.8.6),
        data.table, knitr, kableExtra, bookdown
Suggests: ggplot2
LinkingTo: Rcpp
SystemRequirements: ADMB version 11 <http://admb-project.org/> for
        use.admb=TRUE; see readme.txt
LazyLoad: yes
VignetteBuilder: knitr
License: GPL (>= 2)
RoxygenNote: 7.0.2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-12-08 22:48:24 UTC; jefflaake
Repository: CRAN
Date/Publication: 2019-12-09 06:40:24 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 07:51:12 UTC; windows
Archs: i386, x64
