View source: R/prior_probability_matrix.R
prior_probability_matrix | R Documentation |
Create prior probability matrix for the value of information analysis.
prior_probability_matrix( site_data, feature_data, site_detection_columns, site_n_surveys_columns, site_probability_columns, feature_survey_sensitivity_column, feature_survey_specificity_column, feature_model_sensitivity_column, feature_model_specificity_column )
site_data |
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feature_data |
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site_detection_columns |
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site_n_surveys_columns |
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site_probability_columns |
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feature_survey_sensitivity_column |
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feature_survey_specificity_column |
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feature_model_sensitivity_column |
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feature_model_specificity_column |
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A matrix
object containing the prior probabilities of each
feature occupying each site. Each row corresponds to a different
feature and each column corresponds to a different site.
# set seeds for reproducibility set.seed(123) # load example site data data(sim_sites) print(sim_sites) # load example feature data data(sim_features) print(sim_features) # calculate prior probability matrix prior_matrix <- prior_probability_matrix( sim_sites, sim_features, c("f1", "f2", "f3"), c("n1", "n2", "n3"), c("p1", "p2", "p3"), "survey_sensitivity", "survey_specificity", "model_sensitivity", "model_specificity") # preview prior probability matrix print(prior_matrix)
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