MultLogLik {HWEBayes} | R Documentation |
Evaluates the Multinomial likelihood under the single f model. The normalizing constant is not included. This function is called by a number of other functions, and should not be needed.
MultLogLik(x, nvec, paramch = 1)
x |
a set of k-1 baseline logits, where k is the number of
alleles), and a transformed version of f. Hence a vector of length
k. The transformation adopted depends on the value of paramch . |
nvec |
vector of genotype frequencies in the order n_{11}, n_{21}, n_{22}, ..., n_{k1}, n_{k2}, ..., n_{kk}. |
paramch |
a variable that if =1 assumes f is on the range (-1,+1) before transformation, and if =2 assumes on the range (f_{min},+1). |
MultLoglik |
The value of the (unnormalized) multinomial log-likelihood. |
Jon Wakefield (jonno@u.washington.edu)
Wakefield, J. (2009). Bayesian methods for examining Hardy-Weinberg equilibrium. Biometrics.
Weir, B.S. (1996). Genetic Data Analysis II. Sunderland MA: Sinauer.
SinglefReject