utils::globalVariables(c('ddply','.','year','pctl','cast','kobeP','sims'))
#' kobe
#'
#' @description Creates time series of stock relative to BMSY and harvest rate relative
#' to FMSY
#'
#' @name kobe
#'
#' @param object aspic object
#' @param method missing
#' @param ... other arguments
#'
#' @return data.frame or list of data.frames
#'
#' @aliases kobe kobe,aspics,missing-method kobe,aspics,ANY-method kobe,aspic,missing-method
#'
#' @export
#'
#' @rdname kobe
#'
#' @examples
#' \dontrun{
#' sim()
#' }
#if (!isGeneric('kobe'))
setGeneric('kobe', function(object,method,...) standardGeneric('kobe'))
setMethod('kobe', signature(object='aspic',method='missing'),
function(object,what=c('sims','trks','pts','smry','wrms')[1],probs=c(0.75,0.5,.25),
year=NULL,nwrms=10,sim=NULL){
if (substr(sim,1,4)=="jack"){
stock =stock( object)%/%bmsy(object)
harvest=harvest(object)%/%fmsy(object)
}else if ((dims(ple4)$iter)==1){
stock =stock( object)%/%bmsy(object)
harvest=harvest(object)%/%fmsy(object)
}else{
res=model.frame(mcf(FLQuants(stock =stock( object)%/%bmsy(object),
stock =stock( object)%/%bmsy(object))))
}
if ('pts' %in% what & is.null(year)) year=range(object)['maxyear']-1
biodyn:::kobeFn(res,what,probs,year,nwrms)})
setMethod('kobe', signature(object='aspics'),
function(object,what=c('sims','trks','pts','smry','wrms')[1],probs=c(0.75,0.5,.25),year=NULL,nwrms=10){
res=ldply(object, function(x) model.frame(mcf(FLQuants(stock =stock( x)%/%bmsy(x),
harvest=harvest(x)%/%fmsy(x)))))
biodyn:::kobeFn(res,what,probs,year,nwrms)})
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