Package: surveyvoi
Type: Package
Version: 1.0.5
Title: Survey Value of Information
Description: Decision support tool for prioritizing sites for ecological
    surveys based on their potential to improve plans for conserving
    biodiversity (e.g. plans for establishing protected areas). Given a set of
    sites that could potentially be acquired for conservation management,
    it can be used to generate and evaluate plans for surveying additional
    sites. Specifically, plans for ecological surveys can be
    generated using various conventional approaches (e.g. maximizing expected
    species richness, geographic coverage, diversity of sampled environmental
    algorithms. After generating such survey plans, they can be evaluated using
    conditions) and maximizing value of information. Please note that several
    functions depend on the 'Gurobi' optimization software (available from
    <https://www.gurobi.com>). Additionally, the 'JAGS' software (available from
    <https://mcmc-jags.sourceforge.io/>) is required to fit hierarchical
    generalized linear models.
Authors@R: c(person(c('Jeffrey', 'O'), 'Hanson',
               email='jeffrey.hanson@uqconnect.edu.au', role = c('aut', 'cre'),
               comment = c(ORCID = '0000-0002-4716-6134')),
             person('Iadine', 'Chadès',
               email='iadine.chades@csiro.au', role = c('aut'),
               comment = c(ORCID = '0000-0002-7442-2850')),
             person(c('Emma', 'J'), 'Hudgins',
               email='emma.hudgins@mail.mcgill.ca', role = c('aut'),
               comment = c(ORCID = '0000-0002-8402-5111')),
             person(c('Joseph', 'R'), 'Bennett',
               email='joseph.bennett@carleton.ca', role = c('aut'),
               comment = c(ORCID = '0000-0002-3901-9513')))
Imports: utils, methods, stats, parallel, progress (>= 1.2.2),
        assertthat (>= 0.2.0), xgboost (>= 1.5.2.1), plyr (>= 1.8.4),
        withr (>= 2.1.2), tibble (>= 2.1.3), scales (>= 1.0.0),
        doParallel (>= 1.0.15), dplyr (>= 0.8.3), vegan (>= 2.5-6),
        RcppAlgos (>= 2.3.6), groupdata2 (>= 1.3.0), Rcpp (>= 0.12.19),
        Rsymphony (>= 0.1-31),
Suggests: testthat (>= 3.1.2), knitr (>= 1.20), roxygen2 (>= 6.1.0),
        rmarkdown (>= 1.10), tidyr (>= 1.0.0), ggplot2 (>= 3.2.1),
        gridExtra (>= 2.3), viridis (>= 0.5.1), PoissonBinomial (>=
        1.1.1), gurobi (>= 8.1.0), Rmpfr (>= 0.8-1), runjags (>=
        2.0.4.6)
Depends: R (>= 4.0.0), Matrix, sf (>= 0.8.0), nloptr (>= 1.2.2.2),
LinkingTo: Rcpp (>= 0.12.19), RcppEigen (>= 0.3.3.7.0), PoissonBinomial
        (>= 1.1.1), nloptr (>= 1.2.2.2),
License: GPL-3
LazyData: true
Language: en-US
SystemRequirements: C++11, JAGS (>= 4.3.0) (optional), fftw3 (>= 3.3),
        gmp (>= 6.2.1), gmpxx (>= 6.2.1), mpfr (>= 3.0.0), autoconf (>=
        2.69), automake (>= 1.16.5)
URL: https://prioritizr.github.io/surveyvoi/
BugReports: https://github.com/prioritizr/surveyvoi/issues
VignetteBuilder: knitr
RoxygenNote: 7.2.1
Encoding: UTF-8
Biarch: true
Collate: 'RcppExports.R' 'approx_evdsi.R' 'evdsi.R' 'internal.R'
        'approx_near_optimal_survey_scheme.R'
        'approx_optimal_survey_scheme.R' 'cluster.R' 'data.R' 'ilp.R'
        'env_div_survey_scheme.R' 'evdci.R' 'feasible_survey_schemes.R'
        'fit_hglm_occupancy_models.R' 'fit_xgb_occupancy_models.R'
        'geo_cov_survey_scheme.R' 'n_states.R'
        'optimal_survey_scheme.R' 'package.R'
        'prior_probability_matrix.R' 'relative_site_richness_scores.R'
        'relative_site_uncertainty_scores.R' 'simulate_feature_data.R'
        'simulate_site_data.R' 'validate.R' 'weighted_survey_scheme.R'
        'zzz.R'
NeedsCompilation: yes
Packaged: 2022-09-14 14:36:55 UTC; jeff
Author: Jeffrey O Hanson [aut, cre] (<https://orcid.org/0000-0002-4716-6134>),
  Iadine Chadès [aut] (<https://orcid.org/0000-0002-7442-2850>),
  Emma J Hudgins [aut] (<https://orcid.org/0000-0002-8402-5111>),
  Joseph R Bennett [aut] (<https://orcid.org/0000-0002-3901-9513>)
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>
Repository: CRAN
Date/Publication: 2022-09-17 19:56:11 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-20 14:36:21 UTC; windows
Archs: i386, x64
