Experimental test data from UBA 2014 expertise

- Typo in synthetic data for UBA
- Static documentation except articles rebuilt by pkgdown

1 files changed, 52 insertions, 0 deletions

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+\name{test_data_from_UBA_2014}
+\alias{test_data_from_UBA_2014}
+\docType{data}
+\title{
+  Three experimental datasets from two water sediment systems and one soil
+}
+\description{
+ The datasets were used for the comparative validation of several kinetic evaluation
+ software packages (Ranke, 2014).
+}
+\usage{test_data_from_UBA_2014}
+\format{
+  A list containing three datasets as an R6 class defined by \code{\link{mkinds}}.
+  Each dataset has, among others, the following components
+  \describe{
+    \item{\code{title}}{The name of the dataset, e.g. \code{UBA_2014_WS_river}}
+    \item{\code{data}}{A data frame with the data in the form expected by \code{\link{mkinfit}}}
+  }
+}
+\source{
+  Ranke (2014) Prüfung und Validierung von Modellierungssoftware als Alternative
+  zu ModelMaker 4.0, Umweltbundesamt Projektnummer 27452
+}
+\examples{
+  # This is a level P-II evaluation of the dataset according to the FOCUS kinetics
+  # guidance. Due to the strong correlation of the parameter estimates, the
+  # covariance matrix is not returned. Note that level P-II evaluations are
+  # generally considered deprecated due to the frequent occurrence of such
+  # large parameter correlations, among other reasons (e.g. the adequacy of the
+  # model).
+  m_ws <- mkinmod(parent_w = mkinsub("SFO", "parent_s"),
+                  parent_s = mkinsub("SFO", "parent_w"))
+  f_river <- mkinfit(m_ws, test_data_from_UBA_2014[[1]]$data)
+  plot(f_river)
+
+  summary(f_river)$bpar
+  mkinerrmin(f_river)
+
+  # This is the evaluation used for the validation of software packages
+  # in the expertise from 2014
+  m_soil <- mkinmod(parent = mkinsub("SFO", c("M1", "M2")),
+                    M1 = mkinsub("SFO", "M3"),
+                    M2 = mkinsub("SFO", "M3"),
+                    M3 = mkinsub("SFO"),
+                    use_of_ff = "max")
+
+  f_soil <- mkinfit(m_soil, test_data_from_UBA_2014[[3]]$data)
+  plot(f_soil)
+  summary(f_soil)$bpar
+  mkinerrmin(f_soil)
+}
+\keyword{datasets}