configure.ac
and configure
files to remove bashisms.env_div_survey_scheme()
and geo_cov_survey_scheme()
to prevent tests from sporadically failing due to multiple optimal solutions.fit_xgb_occupancy_models()
that caused an error during model
fitting due to failed predictions.greedy_heuristic_algorithm()
function so that it returns a
solution if it is not possible to select enough planning units to meet the
target for any species. Instead of throwing an error, it will now throw a
warning and return a solution containing the cheapest set of planning units
within the budget and locked out constraints. Note that this solution
will have an objective value of zero, because it has zero probability of
meeting any of the species' targets.greedy_heuristic_algorithm()
function that can be used to generate
reserve selection prioritizations. This function provides access to the
internal algorithm used for the reserve selection component of the
value of information calculations.approx_near_optimal_survey_scheme()
,
approx_optimal_survey_scheme()
, optimal_survey_scheme()
,
approx_evdsi()
, evdsi()
, and evdci()
.sim_sites
and sim_features
example datasets.approx_near_optimal_survey_scheme()
,
approx_optimal_survey_scheme()
, optimal_survey_scheme()
,
approx_evdsi()
, evdsi()
, and evdci()
where all species were incorrectly
assigned the same target as the first species during calculations.simulate_site_data()
function to remove RandomFields package
as a dependency.prior_probability_matrix()
to compute prior probabilities when
no existing survey data are available.fit_xgb_occupancy_models()
using more than specified number
of threads for parallel processing.R CMD INSTALL --configure-vars='GMP_INCLUDE_DIR=... GMP_LIB_DIR=... MPFR_INCLUDE_DIR=... MPFR_LIB_DIR=...'
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