library(MASS)
liver <- liver
liver$ndose <- as.numeric(liver$dose)
d <- data.frame(alt = resid(rlm(log(ALT.M) ~ log(ALT.B) + ndose, data=liver)),
ast = resid(rlm(log(AST.M) ~ log(AST.B) + ndose, data=liver)),
alp = resid(rlm(log(ALP.M) ~ log(ALP.B) + ndose, data=liver)),
tbl = resid(rlm(log(TBL.M) ~ log(TBL.B) + ndose, data=liver)))
Dgpds <- migpd(d[liver$dose == "D", 1:4], mqu=.7)
d$ndose <- liver$ndose
galt <- evm("alt", data=d, qu=.7, xi = ~ ndose)
gast <- evm("ast", data=d, qu=.7, xi = ~ ndose)
galp <- evm("alp", data=d, qu=.7, xi = ~ ndose)
altco <- predict(galt,type="lp",newdata=data.frame(ndose=4))$obj$link[1:2]
astco <- predict(gast,type="lp",newdata=data.frame(ndose=4))$obj$link[1:2]
alpco <- predict(galp,type="lp",newdata=data.frame(ndose=4))$obj$link[1:2]
Dgpd <- migpdCoefs(Dgpds, which=c("alt", "ast", "alp"),
coefs=list(altco, astco, alpco))
summary(Dgpd)
summary(Dgpds)
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