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authorjranke <jranke@edb9625f-4e0d-4859-8d74-9fd3b1da38cb>2012-04-10 21:50:22 +0000
committerjranke <jranke@edb9625f-4e0d-4859-8d74-9fd3b1da38cb>2012-04-10 21:50:22 +0000
commitc1144753adfa0809003085009ebd85f8af9beda8 (patch)
treec07afafb9e6a3ffd1248167f4e40983bb3ef85fc /man/ilr.Rd
parentd3df16102c5ed4bf9182b4f1893561e99eaed166 (diff)
- Fitting and summaries now work with the new parameter transformations.
- The SFORB models with metabolites is broken (see TODO) - Moved the vignette to the location recommended since R 2.14 - Added the missing documentation - Commented out the schaefer_complex_case test, as this version of mkin is not able to fit a model without sink and therefore mkin estimated parameters are quite different git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@22 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
Diffstat (limited to 'man/ilr.Rd')
-rw-r--r--man/ilr.Rd8
1 files changed, 1 insertions, 7 deletions
diff --git a/man/ilr.Rd b/man/ilr.Rd
index fef0d29f..8bf7a728 100644
--- a/man/ilr.Rd
+++ b/man/ilr.Rd
@@ -17,22 +17,16 @@
vectors with all elements being greater than zero.
}
}
-\details{
-}
\value{
The result of the forward or backward transformation. The returned components always
sum to 1 for the case of the inverse log-ratio transformation.
}
\references{
-%% ~put references to the literature/web site here ~
+ Peter Filzmoser, Karel Hron (2008) Outlier Detection for Compositional Data Using Robust Methods. Math Geosci 40 233-248
}
\author{
René Lehmann and Johannes Ranke
}
-\note{
-%% ~~further notes~~
-}
-
\seealso{
Other implementations are in R packages \code{compositions} and \code{robCompositions}.
}

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