y <- cbind(53, 95, 38)
fit1 <- vglm(y ~ 1, AA.Aa.aa(linkp = "probit"), trace = TRUE)
fit2 <- vglm(y ~ 1, AA.Aa.aa(inbreeding = FALSE), trace = TRUE)
rbind(y, sum(y) * fitted(fit1))
Coef(fit1) # Estimated pA
Coef(fit2) # Estimated pA and f
summary(fit1)
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