Description Usage Arguments Author(s)
EM algorithm for over-dispersed mixture model.
1 2 3 4 |
ocounts |
A vector of non-negative integers. The ith element is the number of reads of the reference allele in the ith child. |
osize |
A vector of positive integers. The ith element is the total number of reads for the ith child. |
qarray |
An three-way array of proportions. The (i, j, k)th
element is the probability of an offspring having k - 1
reference alleles given that parent 1 has i - 1 refrerence
alleles and parent 2 has j - 1 reference alleles. Each
dimension of the array is |
r1vec |
A vector of prior probabilities whose ith element is the prior probability that parent 1 has i -1 copies of allele A. |
r2vec |
A vector of prior probabilities whose ith element is the prior probability that parent 2 has i -1 copies of allele A. |
pk |
The parameter space. Should all be between 0 and 1. |
pival |
A fudge factor. The probability of not begin a
mistake. Estimated if |
out_mu |
The outlier mean. |
out_rho |
The outlier overdispersion parameter. |
rho |
The overdispersion parameter. Needs to be between 0 and 1.
If it is exactly 0, you should be using |
est_fudge |
A logical. Should we estimate the fudge factor
|
tol |
A positive numeric. The tolerance for the stopping criterion. |
itermax |
A positive integer. The maximum number of iterations to run in the EM. |
update_geno |
A logical. Update the parental genotypes? |
update_pival |
A logical. Should we update the mixing proportion ( |
update_outlier |
A logical. Should we update the outlier distribution ( |
update_rho |
A logical. Should we we update the overdispersion parameter ( |
David Gerard
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