loop.rpt.IBD | R Documentation |
Analysis of DNA mixtures with familial relationships, by looping over traces, markers, and IBD patterns, to reduce total BN table size, at some price in execution time
loop.rpt.IBD(listdata, pars, IBD, typed.gts = NULL, inds = 1,
jtyped = ncol(IBD$patt)/2 - length(typed.gts) + seq_along(typed.gts),
jcontr = seq_along(inds), targets = NULL, contribs,
quiet=FALSE, verbose=FALSE, presence.only=FALSE, ...)
listdata |
as in call to DNAmixture |
pars |
parameter structure, in |
IBD |
multi-person coefficients of identity, in any of the formats accepted by |
typed.gts , inds , jtyped , jcontr , targets , contribs , quiet |
as in call to rpt.IBD |
verbose |
should per-marker and overall log10LR's be reported? |
presence.only |
Set to TRUE to ignore peak heights and evaluate the likelihood function considering peak presence and absence (heights above and below threshold) only. Defaults to FALSE. |
... |
other arguments to DNAmixture, particularly including |
The value of the overall log10 LR
, and the contributions of individual markers in the form of a vector-valued attribute 'log10LR', are returned invisibly; individual marker/pattern values are also printed out.
Peter Green (P.J.Green@bristol.ac.uk)
data(test2data)
data(NGMDyes)
C<-0.001
## Fit 3-person mixture - baseline model
mixD<-DNAmixture(list(epg),k=3,C=rep(list(C),length(list(epg))),database=db)
pars3<-mixpar(rho=list(2),eta=list(100),xi=list(0.1),phi=list(c(U1=0.6,U2=0.3,U3=0.1)))
baseline3<-logL(mixD)(pars3)
size(mixD)
## Fit 3-person mixture - in which U1 and U2 have a parent-child relationship
mixD<-DNAmixture(list(epg),k=3,C=rep(list(C),length(list(epg))),database=db,
triangulate=FALSE,compile=FALSE)
delete.DQnodes(mixD)
rpt.IBD(mixD,IBD=c(0,1,0),typed.gts=list(),inds=1:2,jtyped=NULL)
size(mixD)
log10LR<-(logL(mixD)(pars3)-baseline3)/log(10)
cat('log10 LR',log10LR,'\n')
## the same analysis by loop.rpt.IBD
listdata<-list(epg)
print(loop.rpt.IBD(listdata,pars3,IBD=c(0,1,0),
k=3,C=rep(list(C),length(listdata)),database=db,
typed.gts=list(),inds=1:2,jtyped=NULL))
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