statgenMPP 1.0.4

readRABBITMPP now reads the output files producted by open source version of RABBIT, available at https://github.com/Biometris/RABBIT. Older files created using Mathematica are still read as well.
A new plot (plotType = "parCIs") is now available for plotting the parental effects and the confidence intervals around them.

statgenMPP 1.0.3

The output of selQTLMPP now contains the standard errors of the effects. The standard errors are added in both the full output (GWAResult) and the table with QTLs (signSnp).
The output of the two plots in QTLProfileExt is properly aligned again.
Functions no longer rely on soft-deprecated ggplot2 functions.

A minor bug in the summary for gDataMPP objects is fixed. Now the correct number of genotypes is shown also when there is only one cross.
A citation file was added.

The logic in the scan process is improved, leading to much lower computation times. * Computations can now be done in parallel by registering a parallel back-end and setting parallel = TRUE in the selQTLMPP function.
It is now possible to include a polygenic effect in the models to correct for background genetic information.
A new function createGDataMPP is added to directly create a gDataMPP object from an IBDprob object (as created by statgenIBD) and a data.frame with phenotypic data.
readRABBIT is renamed to readRABBITMPP to prevent future conflicts with a similar function in statgenIBD
The trait column in the example data is renamed from “pheno” to “yield”.