diff options
| -rw-r--r-- | R/mmkin.R | 22 |
1 files changed, 11 insertions, 11 deletions
@@ -1,10 +1,10 @@ #' Fit one or more kinetic models with one or more state variables to one or #' more datasets -#' +#' #' This function calls \code{\link{mkinfit}} on all combinations of models and #' datasets specified in its first two arguments. -#' -#' @param models Either a character vector of shorthand names like +#' +#' @param models Either a character vector of shorthand names like #' \code{c("SFO", "FOMC", "DFOP", "HS", "SFORB")}, or an optionally named #' list of \code{\link{mkinmod}} objects. #' @param datasets An optionally named list of datasets suitable as observed @@ -24,28 +24,28 @@ #' plotting. #' @keywords optimize #' @examples -#' +#' #' \dontrun{ #' m_synth_SFO_lin <- mkinmod(parent = mkinsub("SFO", "M1"), #' M1 = mkinsub("SFO", "M2"), #' M2 = mkinsub("SFO"), use_of_ff = "max") -#' +#' #' m_synth_FOMC_lin <- mkinmod(parent = mkinsub("FOMC", "M1"), #' M1 = mkinsub("SFO", "M2"), #' M2 = mkinsub("SFO"), use_of_ff = "max") -#' +#' #' models <- list(SFO_lin = m_synth_SFO_lin, FOMC_lin = m_synth_FOMC_lin) #' datasets <- lapply(synthetic_data_for_UBA_2014[1:3], function(x) x$data) #' names(datasets) <- paste("Dataset", 1:3) -#' +#' #' time_default <- system.time(fits.0 <- mmkin(models, datasets, quiet = TRUE)) #' time_1 <- system.time(fits.4 <- mmkin(models, datasets, cores = 1, quiet = TRUE)) -#' +#' #' time_default #' time_1 -#' +#' #' endpoints(fits.0[["SFO_lin", 2]]) -#' +#' #' # plot.mkinfit handles rows or columns of mmkin result objects #' plot(fits.0[1, ]) #' plot(fits.0[1, ], obs_var = c("M1", "M2")) @@ -58,7 +58,7 @@ #' # allow to plot the observed variables separately #' plot(fits.0[1, 1]) #' } -#' +#' #' @export mmkin mmkin <- function(models = c("SFO", "FOMC", "DFOP"), datasets, cores = round(detectCores()/2), cluster = NULL, ...) |