likelihood_pa: Calculate log-likelihood scores for estimate_pa.R

In samyeaman/dgconstraint: Calculates Metrics of Diversity Constraint for Genomics of Adaptation

Calculate log-likelihood scores for estimate_pa.R

Description

likelihood_pa Calculates the log-likelihood scores for use in estimate_pa.R. Setting na.rm = T assumes that missing values are true negatives.

Usage

likelihood_pa(test_prop_adaptive, input, na.rm = F)

Arguments

test_prop_adaptive	numeric
input	numeric vector

Value

length-one numeric

Examples

array1 <- array (0,c(5000,20))
array1[cbind(1:20,1:20)] <- 1
array1[1:5,1:3] <- 1
array1[6:10,4:6] <- 1
test_proportion <- 0.2
likelihood_pa (test_proportion, array1)

samyeaman/dgconstraint documentation built on July 25, 2022, 4:36 a.m.