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#' Summarize a fitted model object
#'
#' @description Summarize a fitted model object.
#'
#' @param object A fitted model object from [splm()], [spautor()], [spglm()], or [spgautor()].
#' @param ... Other arguments. Not used (needed for generic consistency).
#'
#' @details \code{summary()} creates a summary of a fitted model object
#' intended to be printed using \code{print()}. This summary contains
#' useful information like the original function call, residuals,
#' a coefficients table, a pseudo r-squared, and estimated covariance
#' parameters.
#'
#' @return A list with several fitted model quantities used to create
#' informative summaries when printing.
#'
#' @name summary.spmodel
#' @method summary splm
#' @order 1
#' @export
#'
#' @seealso [print.spmodel()]
#'
#' @examples
#' spmod <- splm(z ~ water + tarp,
#' data = caribou,
#' spcov_type = "exponential", xcoord = x, ycoord = y
#' )
#' summary(spmod)
summary.splm <- function(object, ...) {
summary_coefficients_fixed <- data.frame(
estimates = coef(object, type = "fixed"),
Std_Error = sqrt(diag(vcov(object, type = "fixed")))
)
summary_coefficients_fixed$z_value <- summary_coefficients_fixed$estimates / summary_coefficients_fixed$Std_Error
summary_coefficients_fixed$p <- 2 * (1 - pnorm(abs(summary_coefficients_fixed$z_value)))
spcov_params_val <- coef(object, type = "spcov")
randcov_params_val <- coef(object, type = "randcov")
coefficients <- list(fixed = summary_coefficients_fixed, spcov = spcov_params_val, randcov = randcov_params_val)
summary_list <- list(
call = object$call,
terms = object$terms,
residuals = object$residuals,
coefficients = coefficients,
pseudoR2 = object$pseudoR2,
vcov = object$vcov,
is_known = object$is_known,
anisotropy = object$anisotropy
)
new_summary_list <- structure(summary_list, class = paste("summary", class(object), sep = "."))
new_summary_list
}
#' @rdname summary.spmodel
#' @method summary spautor
#' @order 2
#' @export
summary.spautor <- summary.splm
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