setPeakInfo {DNAmixturesLite}R Documentation

Include or exclude peak information in the model

Description

The function setPeakInfo is used for including in the model either the full peak height information or only information about presence and absence of peaks. After a call to setPeakInfo, the Bayesian networks in mixture$domains will represent the conditional distribution given the specified peak information. For the reverse functionality, i.e. exclusion of any such peak information, use removePeakInfo.

IMPORTANT: This is the DNAmixturesLite package, which is intended as a service to enable users to try DNAmixtures without purchasing a commercial licence for Hugin. When at all possible, we strongly recommend the use of DNAmixtures rather than this lite-version. See https://dnamixtures.r-forge.r-project.org/ for details on both packages.

While the lite-version seeks to provide the full functionality of DNAmixtures, note that computations are much less efficient and that there are some differences in available functionality. Be aware that the present documentation is copied from DNAmixtures and thus may not accurately describe the implementation of this lite-version.

Usage

setPeakInfo(mixture, pars, presence.only = FALSE)

removePeakInfo(mixture)

Arguments

mixture

A DNAmixture

pars

A mixpar model parameter

presence.only

Default is FALSE, which means that the full peak height information is taken into consideration. Set to TRUE, which will include only information on the presence and absence of peaks.

Details

The function setPeakInfo sets conditional probability tables using the specified model parameters, and propagates suitable evidence using either observed peak heights or the discrete presence/absence observations of peaks. Any previously entered or propagated evidence on nodes O and D will be retracted in this process.

The function removePeakInfo retracts all evidence on nodes O and D; the conditional probability tables are left unchanged.

Value

invisibly NULL

See Also

setCPT. For use of the Bayesian networks, see map.genotypes.


[Package DNAmixturesLite version 0.0-1 Index]