library(ladybird)
library(here)
min_occurrences <- 1000
min_species <- 3
first_order <- TRUE
center_year <- 2001
output_dir <- here("..", "Analysis", "models", "base")
dir.create(output_dir, showWarnings = FALSE, recursive = TRUE)
ds <- load_relevant(
min_occurrences = min_occurrences, min_species = min_species
)
available_species <- tail(colnames(ds), -2)
for (species in available_species) {
output <- sprintf(
"%s/%s_%i_%i_%i.rds", output_dir, tolower(species), min_occurrences,
min_species, first_order
)
if (file.exists(output)) {
next
}
message("base: ", species, " ", first_order, " ", Sys.time())
bm <- base_model(
species = species, min_occurrences = min_occurrences,
min_species = min_species, first_order = first_order,
center_year = center_year
)
saveRDS(bm, output)
}
bm <- readRDS(
sprintf(
"%s/%s_%i_%i_%i.rds", output_dir, "harm_axyr", min_occurrences, min_species,
first_order
)
)
dir.create(file.path(output_dir, "..", "probability"), showWarnings = FALSE)
for (species in available_species) {
if (species == "Harm_axyr") {
next
}
output <- sprintf(
"%s/%s_%i_%i_%i.rds", file.path(output_dir, "..", "probability"),
tolower(species), min_occurrences, min_species, first_order
)
if (file.exists(output)) {
next
}
message("probability: ", species, " ", first_order, " ", Sys.time())
sm <- probability_model(
species = species, min_occurrences = min_occurrences,
min_species = min_species, secondary = bm, first_order = first_order,
center_year = center_year
)
saveRDS(sm, output)
}
dir.create(file.path(output_dir, "..", "cumulative"), showWarnings = FALSE)
for (species in available_species) {
if (species == "Harm_axyr") {
next
}
output <- sprintf(
"%s/%s_%i_%i_%i.rds", file.path(output_dir, "..", "cumulative"),
tolower(species), min_occurrences, min_species, first_order
)
if (file.exists(output)) {
next
}
message("cumulative: ", species, " ", first_order, " ", Sys.time())
sm <- cumulative_model(
species = species, min_occurrences = min_occurrences,
min_species = min_species, secondary = bm, first_order = first_order,
center_year = center_year
)
saveRDS(sm, output)
}
first_order <- FALSE
for (species in available_species) {
output <- sprintf(
"%s/%s_%i_%i_%i.rds", output_dir, tolower(species), min_occurrences,
min_species, first_order
)
if (file.exists(output)) {
next
}
message("base: ", species, " ", first_order, " ", Sys.time())
bm <- base_model(
species = species, min_occurrences = min_occurrences,
min_species = min_species, first_order = first_order,
center_year = center_year
)
saveRDS(bm, output)
}
bm <- readRDS(
sprintf(
"%s/%s_%i_%i_%i.rds", output_dir, "harm_axyr", min_occurrences, min_species,
first_order
)
)
for (species in available_species) {
if (species == "Harm_axyr") {
next
}
output <- sprintf(
"%s/%s_%i_%i_%i.rds", file.path(output_dir, "..", "probability"),
tolower(species), min_occurrences, min_species, first_order
)
if (file.exists(output)) {
next
}
message("probability: ", species, " ", first_order, " ", Sys.time())
sm <- probability_model(
species = species, min_occurrences = min_occurrences,
min_species = min_species, secondary = bm, first_order = first_order,
center_year = center_year
)
saveRDS(sm, output)
}
dir.create(file.path(output_dir, "..", "cumulative"), showWarnings = FALSE)
for (species in available_species) {
if (species == "Harm_axyr") {
next
}
output <- sprintf(
"%s/%s_%i_%i_%i.rds", file.path(output_dir, "..", "cumulative"),
tolower(species), min_occurrences, min_species, first_order
)
if (file.exists(output)) {
next
}
message("cumulative: ", species, " ", first_order, " ", Sys.time())
sm <- try(cumulative_model(
species = species, min_occurrences = min_occurrences,
min_species = min_species, secondary = bm, first_order = first_order,
center_year = center_year
))
if (!inherits(sm, "try-error")) {
saveRDS(sm, output)
}
}
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