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authorJohannes Ranke <jranke@uni-bremen.de>2021-06-16 18:03:22 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2021-06-16 18:03:22 +0200
commit28197d5fcbaf85b39f4c032b8180d68b6f6a01b3 (patch)
treeba4cc748b6109c86e97292774d1ebb0ec3066803 /R/tffm0.R
parent88cf130615a6cde0c4e65d14db32fed7f6e43085 (diff)
Translate formation fractions to nlmixr language
Works for the dimethenamid data, at least for FOCEI. Very little testing yet. The summary function does not yet handle the new transformations of formation fractions (that are in fact very old, as they were used in the very first version of mkin). The test file has no tests yet, just some code that may be used for testing.
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+#' Transform formation fractions as in the first published mkin version
+#'
+#' The transformed fractions can be restricted between 0 and 1 in model
+#' optimisations. Therefore this transformation was used originally in mkin. It
+#' was later replaced by the [ilr] transformation because the ilr transformed
+#' fractions can assumed to follow normal distribution. As the ilr
+#' transformation is not available in [RxODE] and can therefore not be used in
+#' the nlmixr modelling language, this transformation is currently used for
+#' translating mkin models with formation fractions to more than one target
+#' compartment for fitting with nlmixr in [nlmixr_model]. However,
+#' this implementation cannot be used there, as it is not accessible
+#' from RxODE.
+#'
+#' @param ff Vector of untransformed formation fractions. The sum
+#' must be smaller or equal to one
+#' @param ff_trans
+#' @return A vector of the transformed formation fractions
+#' @export
+#' @examples
+#' ff_example <- c(
+#' 0.10983681, 0.09035905, 0.08399383
+#' )
+#' ff_example_trans <- tffm0(ff_example)
+#' invtffm0(ff_example_trans)
+tffm0 <- function(ff) {
+ n <- length(ff)
+ res <- numeric(n)
+ f_remaining <- 1
+ for (i in 1:n) {
+ res[i] <- ff[i]/f_remaining
+ f_remaining <- f_remaining - ff[i]
+ }
+ return(res)
+}
+#' @rdname tffm0
+#' @return
+invtffm0 <- function(ff_trans) {
+ n <- length(ff_trans)
+ res <- numeric(n)
+ f_remaining <- 1
+ for (i in 1:n) {
+ res[i] <- ff_trans[i] * f_remaining
+ f_remaining <- f_remaining - res[i]
+ }
+ return(res)
+}

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