Package: marked
Version: 1.2.1
Date: 2018-03-29
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 (>= 3.2.0), lme4, methods, parallel
Imports: graphics, stats, utils, R2admb, truncnorm, coda, Matrix,
        numDeriv, expm, Rcpp (>= 0.9.13), TMB, optimx (>= 2013.8.6)
Suggests: ggplot2
LinkingTo: Rcpp
SystemRequirements: ADMB version 11 <http://admb-project.org/> for
        use.admb=TRUE; see readme.txt
LazyLoad: yes
License: GPL (>= 2)
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-03-29 22:11:36 UTC; jefflaake
Repository: CRAN
Date/Publication: 2018-03-30 12:52:22 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 16:49:29 UTC; windows
Archs: i386, x64
