update_pp_f1
but I exclusively use the EM (instead of also Brent's method),
and I allow for priors on the mixing proportions.Same as update_pp_f1
but I exclusively use the EM (instead of also Brent's method),
and I allow for priors on the mixing proportions.
update_dr(weight_vec, model = c("f1pp", "f1ppdr"), control)
colSums(wik_mat)
from flexdog
.
This is the sum of current posterior probabilities of each individual
having genotype k.
The model to assume.
A list of anything else needed to be passed.
E.g. if model = "ash"
,
then inner_weights
needs to be passed through control
(see get_inner_weights
for how to get this matrix).
A list with the following elements:
p1_pair_weights
A list with the mixing weights for the bivalent components of parent 1.
p2_pair_weights
A list with the mixing weights for the bivalent components of parent 2.
obj
The maximized objective.
p1geno
The estimated genotype for parent 1.
p2geno
The estimated genotype for parent 2.
pivec
The estimated genotype distribution for the offspring.