Changelog
Source:NEWS.md
statgenHTP 1.0.6
- The package has been extended by functions for modelling evolution of the genetic signal. This extension consists of functions
fitSplineHDM()
for fitting a hierarchical data model,predict.psHDM()
for making predictions based on this model, andplot.psHDM()
for plotting the results. The methods used are described in a new vignette. - A small bug in
detectSingleOutMaize()
is fixed. Observations with a missing value for one of the involved traits are no longer tagged as outliers.
statgenHTP 1.0.4
CRAN release: 2021-08-20
- The
removeSerieOut()
function now has an extra argument reason allowing for restricting removal of outliers to one or more reason the outliers where tagged. - The
plot
function forserieOut
objects now has an extra argument reason allowing for restricting the plotting of outliers to one or more reason the outliers where tagged. - The
detectSerieOut()
function is now able to handle plotIds with irregular naming, i.e. plotIds starting with a number. - The results of
estimateSplineParameters()
can now be plotted in a box plot and histogram. - In the
estimateSplineParameters()
function multiple parameters can now be estimated at once. - A bug in
detectSerieOut()
that caused slope outliers to be never detected is fixed. - A bug causing predictions to be made in
fitSpline()
for missing values at the beginning or end of a time course is fixed. - The
detectSerieOut()
function now checks for number of plotIds per plant in the correct location leading to a more user friendly error message.
statgenHTP 1.0.2
CRAN release: 2021-06-10
- Plotting second derivatives of fitted splines, plotted first derivatives. This is fixed now.
- The
detectSerieOut()
function now uses an extra criterion for checking if time courses our outlying. See the function documentation and vignettes for a full explanation of this new criterion. - The parameter
trait
in theremoveSerieOut()
function is renamed totraits
and now accepts a vector of traits that for which outlier values can be replaced byNA
. - Plotting the output of
detectSerieOut()
now has an extra parametergeno.decomp
to restrict the output to selected levels of the geno.decomp variable in the data. - Computing the area under the curve in
estimateSplineParameters()
now allows the specification of the time unit used on the x-axis. - Fitting models using SpATS is now done using the option
centered = TRUE
by default.