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R/P_vobs2.r
In BayesPIM: Bayesian Prevalence-Incidence Mixture Model
Defines functions
P_vobs2
P_vobs2 = function(Vobs, kappa, r){
m = sapply(Vobs, length)-1
cens = sapply(Vobs, function(x) is.infinite(x[length(x)]))
p.vec = geom(m+r, kappa)
p.vec.inf = geom.inf(m+r, kappa)
ifelse(cens, p.vec.inf, p.vec)
}
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BayesPIM documentation built on April 12, 2025, 1:59 a.m.
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Defines functions P_vobs2
P_vobs2 = function(Vobs, kappa, r){
m = sapply(Vobs, length)-1
cens = sapply(Vobs, function(x) is.infinite(x[length(x)]))
p.vec = geom(m+r, kappa)
p.vec.inf = geom.inf(m+r, kappa)
ifelse(cens, p.vec.inf, p.vec)
}
Try the BayesPIM package in your browser
Any scripts or data that you put into this service are public.
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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