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author | Johannes Ranke <jranke@uni-bremen.de> | 2020-05-14 18:39:29 +0200 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2020-05-14 18:39:29 +0200 |
commit | 808a679efb69ec6603db6642687d9e8ceb3b3453 (patch) | |
tree | 17763b0c5a490078ff77bafb2d680e42c1d5709b /R/parms.mkinfit.R | |
parent | b6e278759127dab5bb78bc3016926a66e8a9758f (diff) |
Add a parms method for mmkin objects
Diffstat (limited to 'R/parms.mkinfit.R')
-rw-r--r-- | R/parms.mkinfit.R | 34 |
1 files changed, 32 insertions, 2 deletions
diff --git a/R/parms.mkinfit.R b/R/parms.mkinfit.R index 281d06de..f173ef51 100644 --- a/R/parms.mkinfit.R +++ b/R/parms.mkinfit.R @@ -4,9 +4,13 @@ #' model parameters, in order to avoid working with a fitted model without #' considering the error structure that was assumed for the fit. #' -#' @param object A fitted model object +#' @param object A fitted model object. Methods are implemented for +#' [mkinfit()] objects and for [mmkin()] objects. #' @param \dots Not used -#' @return A numeric vector of fitted model parameters +#' @return For mkinfit objects, a numeric vector of fitted model parameters. +#' For mmkin row objects, a matrix with the parameters with a +#' row for each dataset. If the mmkin object has more than one row, a list of +#' such matrices is returned. #' @export parms <- function(object, ...) { @@ -26,3 +30,29 @@ parms.mkinfit <- function(object, transformed = FALSE, ...) if (transformed) object$par else c(object$bparms.optim, object$errparms) } + +#' @rdname parms +#' @examples +#' ds <- lapply(experimental_data_for_UBA_2019[6:10], +#' function(x) subset(x$data[c("name", "time", "value")])) +#' names(ds) <- paste("Dataset", 6:10) +#' fits <- mmkin(c("SFO", "FOMC", "DFOP"), ds, quiet = TRUE) +#' parms(fits["SFO", ]) +#' parms(fits[, 2]) +#' parms(fits) +#' parms(fits, transformed = TRUE) +#' @export +parms.mmkin <- function(object, transformed = FALSE, ...) +{ + if (nrow(object) == 1) { + res <- sapply(object, parms, transformed = transformed, ...) + colnames(res) <- colnames(object) + } else { + res <- list() + for (i in 1:nrow(object)) { + res[[i]] <- parms(object[i, ], transformed = transformed, ...) + } + names(res) <- rownames(object) + } + return(res) +} |