The approximate null distribution of a likelihood ratio for 2 nested mixed models, where both fixed and random effects are tested simultaneously, is a very specific mixture of chi-square distributions. It depends on both the number of random effects and the number of fixed effects to be tested simultaneously. Note that this function is a copy of the pchisqmix function of the TcGSA package.
pchisqmix(quant, s, q, lower.tail =TRUE)
Arguments
quant: a quantile
s: number of fixed effects to be tested
q: number of random effects to be tested
lower.tail: logical. if TRUE (default), probabilities are P[X<=x], otherwise P[X>x].