Description Usage Arguments Details Value See Also Examples
View source: R/hypothesis-peaks.R
Helper function to create the input for the prosecution using peak height data.
1 2 3 4 5 6 7  | 
peaksFile | 
 Path to the crime scene profile.  | 
refFile | 
 Path to the known profiles.  | 
ethnic | 
 Ethnicity, e.g. subgroup within the allele frequency database.  | 
nUnknowns | 
 Number of unknown contributors for which to perform calculation.  | 
adj | 
 Allele frequency adjustment parameter.  | 
fst | 
 Allele fraction adjustment F_{ST}.  | 
databaseFile | 
 Path to the allele database. If NULL, then defaults to
the NGMSelect database provided with   | 
linkageFile | 
 Path to recombination rate information. If NULL then defaults
to the linkage file provided with   | 
relationship | 
 Specified relationship between Q and X. Can take values of 0=unrelated, 1=parent/offspring, 2=siblings, 3=uncle/nephew, 4=half-uncle/half-nephew, 5=cousins, 6=grandparent/grandchild, 7=half-siblings.  | 
detectionThresh | 
 Detection threshold for peaks. Can be a single value, or a named list containing one value per locus.  | 
doDropin | 
 Whether or not to model drop-in. Note dropin is not currently possible with the peak heights model.  | 
doDoubleStutter | 
 Logical. Whether or not to model double stutter.  | 
doOverStutter | 
 Logical. Whether or not to model over stutter.  | 
combineRare | 
 Whether or not to combine rare unobserved alleles into a single allele.  | 
rareThreshold | 
 If   | 
kit | 
 Parameter specifying which allele database supplied with likeLTD to use if
  | 
... | 
 Other parameters to determine how to perform calculations.  | 
It loads the CSP, known profiles, and allele database from file.
A list of named input parameters, or hypothesis, suitable for the prosecution.
defence.hypothesis.peaks
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22  | ## Not run: 
# datapath to example files
datapath = file.path(system.file("extdata", package="likeLTD"),"laboratory")
# File paths and case name for allele report
admin = pack.admin.input.peaks(
            peaksFile = file.path(datapath, 'laboratory-CSP.csv'),
            refFile = file.path(datapath, 'laboratory-reference.csv'),
            caseName = "Laboratory",
            detectionThresh = 20
             )
# Enter arguments
args = list(
        nUnknowns = 1
        )
# Create hypotheses
hypP = do.call(prosecution.hypothesis.peaks, append(admin,args))
hypD = do.call(defence.hypothesis.peaks, append(admin,args))
## End(Not run)
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