deconvolve: deconvolve
In euroformix: Package for intepretation of quantitative DNA mixtures
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
deconvolve ranks the set of the most conditional posterior probability of genotypes the STR DNA mixture given a fitted model under a hypothesis.
Usage
1
deconvolve(mlefit, alpha = 0.95, maxlist = 1000, unknownonly = TRUE)
Arguments
mlefit
Fitted object using contLikMLE function.
alpha
Required sum of the listed posterior probabilities.
maxlist
The ranked deconvolved profile list will not exceed this number (used to avoid endless search).
unknownonly
A boolean whether table should only contain the unknown genotypes or both known and unknown genotypes.
Details
The procedure calculates the likelihood for each single locus. Then it combines the most probable genotypes from each loci to produce a ranked list of deconvolved profiles.
Function calls procedure in c++ by using the package Armadillo and Boost.
Value
ret A list(table1,rankG,pG) where rankG is the ranked genotypes with corresponding probabilities in pG. table1 is a formated version of these two.
Author(s)
Oyvind Bleka <Oyvind.Bleka.at.fhi.no>
References
Cowell,R.G. et.al. (2014). Analysis of forensic DNA mixtures with artefacts. Applied Statistics, 64(1),1-32.
euroformix documentation built on May 2, 2019, 4:48 p.m.
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Description Usage Arguments Details Value Author(s) References
Description
deconvolve ranks the set of the most conditional posterior probability of genotypes the STR DNA mixture given a fitted model under a hypothesis.
Usage
1 | deconvolve(mlefit, alpha = 0.95, maxlist = 1000, unknownonly = TRUE)
|
Arguments
mlefit |
Fitted object using contLikMLE function. |
alpha |
Required sum of the listed posterior probabilities. |
maxlist |
The ranked deconvolved profile list will not exceed this number (used to avoid endless search). |
unknownonly |
A boolean whether table should only contain the unknown genotypes or both known and unknown genotypes. |
Details
The procedure calculates the likelihood for each single locus. Then it combines the most probable genotypes from each loci to produce a ranked list of deconvolved profiles.
Function calls procedure in c++ by using the package Armadillo and Boost.
Value
ret A list(table1,rankG,pG) where rankG is the ranked genotypes with corresponding probabilities in pG. table1 is a formated version of these two.
Author(s)
Oyvind Bleka <Oyvind.Bleka.at.fhi.no>
References
Cowell,R.G. et.al. (2014). Analysis of forensic DNA mixtures with artefacts. Applied Statistics, 64(1),1-32.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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