Inclusion power for missing person cases
Inclusion power for missing person cases
missingPersonIP( reference, missing, markers, nsim = 1, threshold = NULL, disableMutations = NA, seed = NULL, verbose = TRUE )
reference |
A |
missing |
The ID label of the missing pedigree member. |
markers |
A vector indicating the names or indices of markers attached
to the source pedigree. If NULL (default), then all markers attached to the
source pedigree are used. If |
nsim |
A positive integer: the number of simulations |
threshold |
A numeric vector with one or more positive numbers used as the likelihood ratio thresholds for inclusion |
disableMutations |
This parameter determines how mutation models are treated. Possible values are as follows:
|
seed |
An integer seed for the random number generator (optional). |
verbose |
A logical. |
A mpIP object, which is essentially a list with the following
entries:
LRperSim: A numeric vector of length nsim containing the total LR for
each simulation.
meanLRperMarker: The mean LR per marker, over all simulations.
meanLR: The mean total LR over all simulations.
meanLogLR: The mean total log10(LR) over all simulations.
IP: A named numeric of the same length as threshold. For each element
of threshold, the fraction of simulations resulting in a LR exceeding the
given number.
time: The total computation time.
params: A list containing the input parameters missing, markers,
nsim, threshold and disableMutations
# Four siblings; the fourth is missing x = nuclearPed(4) # Remaining sibs typed with 5 triallelic markers x = markerSim(x, N = 5, ids = 3:5, alleles = 1:3, seed = 123, verbose = FALSE) # Compute exclusion power statistics missingPersonIP(x, missing = 6, nsim = 5, threshold = c(10, 100)) # Compare with genotypes x
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