gf_freq | R Documentation |
Genotype frequencies of an F1 population under a generalized model.
gf_freq(
p1_g,
p1_ploidy,
p1_gamma = NULL,
p1_alpha = NULL,
p1_beta = NULL,
p1_type = c("mix", "polysomic"),
p1_add_dr = TRUE,
p2_g,
p2_ploidy,
p2_gamma = NULL,
p2_alpha = NULL,
p2_beta = NULL,
p2_type = c("mix", "polysomic"),
p2_add_dr = TRUE,
pi = 0,
nudge = sqrt(.Machine$double.eps)
)
p1_g , p1_ploidy , p1_gamma , p1_alpha , p1_beta , p1_type , p1_add_dr |
The first parent's version of the parameters in |
p2_g , p2_ploidy , p2_gamma , p2_alpha , p2_beta , p2_type , p2_add_dr |
The second parent's version of the parameters in |
pi |
The proportion of outliers. |
nudge |
Zeros go to nudge |
A vector of genotype frequencies. Element i
is the probability
and offspring has genotype i - 1
.
David Gerard
gamfreq()
.
q <- gf_freq(
p1_g = 2,
p1_ploidy = 4,
p1_gamma = c(0.1, 0.9),
p1_type = "mix",
p2_g = 2,
p2_ploidy = 6,
p2_alpha = 0.1,
p2_type = "polysomic",
pi = 0.05)
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