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#' @title Print a knobi object
#'
#' @name print.knobi
#'
#' @description The default print method for \code{\link{knobi_fit}}, \code{\link{knobi_env}} and \code{\link{knobi_proj}} object
#'
#' @param x,... Fitted model objects of class \code{knobi} produced by \code{knobi_fit()}, \code{knobi_env()} or \code{knobi_proj()}.
#'
#' @details Prints out the formula and the parameters estimates of the base KBPM fit or the environmental KBPM fit, furthermore it also reports the KBPM projections.
#'
#' @author
#' \itemize{
#' \item{Anxo Paz}
#' \item{Marta Cousido-Rocha}
#' \item{Santiago Cerviño López}
#' \item{M. Grazia Pennino}
#' }
#'
#' @seealso
#' \code{\link{knobi_fit}}, \code{\link{knobi_env}}, \code{\link{knobi_proj}}
#'
utils::globalVariables(c("Sc"))
#' @export
print.knobi <- function(x, ...){
if(!is.null(x$plots) & is.null(x$plots3D)){
cat("\n Projections: \n \n")
print(subset(x$df, Sc!='input'), row.names = F)
cat("\n \n")
} else if(is.null(x$mult)){
if(x$control$pella==TRUE){
cat("\n Formula:\n","SP_t = (r/p)*B_t*(1-(B_t/K)^p) \n \n")
} else {
cat("\n Formula:\n","SP_t = r*B_t*(1-B_t/K) \n \n")}
cat("Parameter estimates:\n")
cat( "r ",x$params['r'],"\n")
cat( "K ",x$params['K'],"\n")
if(x$control$pella==TRUE){
cat("p ",x$params['p'],"\n \n")
} else {cat("\n")}
} else {
if( x$input$basecontrol$pella){
cat("\n Multiplicative model:\n","SP_t = (r/p)*B_t*(1-(B_t/K)^p)*exp(c*X_t) \n \n")
} else {
cat("\n Multiplicative model:\n","SP_t = r*B_t*(1-B_t/K)*exp(c*X_t) \n \n")
}
cat("Parameter estimates:\n")
npms<-length(x$mult$params)
for(i in 1:npms){
cat(names(x$mult$params)[i]," ",x$mult$params[i],"\n")
}
cat("\n")
if( x$input$basecontrol$pella){
cat("\n Additive model:\n","SP_t = (r/p)*B_t*(1-(B_t/K)^p)+c*X_t*B_t \n \n")
} else {
cat("\n Additive model:\n","SP_t = r*B_t*(1-B_t/K)+c*X_t*B_t \n \n")
}
cat("Parameter estimates:\n")
for(i in 1:npms){
cat(names(x$add$params)[i]," ",x$add$params[i],"\n")
}
cat("\n")
}
}
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