#' @export
get_predictions.sdmTMB <- function(model,
data_grid = NULL,
terms = NULL,
ci_level = 0.95,
type = NULL,
typical = NULL,
vcov = NULL,
vcov_args = NULL,
condition = NULL,
interval = "confidence",
bias_correction = FALSE,
link_inverse = insight::link_inverse(model),
model_info = NULL,
verbose = TRUE,
...) {
# does user want standard errors?
se <- !is.null(ci_level) && !is.na(ci_level)
# compute ci
if (se) ci <- (1 + ci_level) / 2
# copy object
predicted_data <- data_grid
if (type != "fixed") {
insight::format_error("Only `type = \"fixed\"` is currently supported for sdmTMB models.")
}
# predict
prdat <- stats::predict(
model,
newdata = data_grid,
se_fit = se,
re_form = NA, # i.e., spatial/spatiotemporal random fields off
re_form_iid = NA,
...
)
# form output data frame
predicted_data$predicted <- link_inverse(prdat$est)
if (se) {
predicted_data$conf.low <- link_inverse(prdat$est - stats::qnorm(ci) * prdat$est_se)
predicted_data$conf.high <- link_inverse(prdat$est + stats::qnorm(ci) * prdat$est_se)
predicted_data$std.error <- prdat$est_se
} else {
predicted_data$conf.low <- NA
predicted_data$conf.high <- NA
predicted_data$std.error <- NA
}
predicted_data
}
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