Changelog
Source:NEWS.md
statgenHTP 1.0.7
- For spatial models fitted with SpATS it is now assured that the number of segments used for rows and columns is divisible by the value of nest.div used. This is done to accommodate a minor fix in an upcoming release of SpATS.
- Functions no longer rely on soft-deprecated ggplot2 functions.
statgenHTP 1.0.6
CRAN release: 2022-12-13
- 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.