size.at.maturity = function(r) {
require (doBy)
outputvector = NULL
res = coef(summary(r))
# res2 = confint(r)
# fin = cbind(res[,c("Estimate","Std. Error")],res2)
# colnames(fin) = c("Estimate","Std. Error", colnames(res2))
cw50 = dose.LD50(r, lambda=c(1,NA)) # lambda is a vector of model coef, with NA for inverse prediction variable.
names(cw50) = c("cw50", "cw50lower", "cw50upper")
olist = c("Estimate","Std. Error")
r1 = res[1,olist] ; names(r1) = c("a0", "a0.se" )
r2 = res[2,olist] ; names(r2) = c("a1", "a1.se" )
r3 = c(length(i), r$deviance, r$aic); names(r3)=c("n", "deviance", "aic")
r4 = c(floor(r$converged)); names(r4)="converged"
outputvector = c( r1, r2, r3, r4, cw50)
}
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