log_weighted_mean: Weighted mean on logarithmic scale

In bomarkussen/probit: Item response analysis with random effects.

Description

Weighted mean on logarithmic scale

Usage

log_weighted_mean(U, log.a, log.b)

Arguments

U	Vector of weights in [0,1].
log.a	Vector of logarithms of the first term.
log.b	Vector of logarithms of the second term.

Value

Logarithm of U*a+(1-U)*b.

Examples

log_weighted_mean(U=c(1,0.5,0),log.a=c(-10,12,42),log.b=c(60,2,-10))
log_weighted_mean(U=0.4,log.a=-2.88e-21,log.b=-1.38e-16)
log_weighted_mean(U=0.295,log.a=-5.748586e-23,log.b=-1.199389e-18)
log_weighted_mean(U=0.5751,log.a=-6.414215e-22,log.b=-2.806906e-17)

bomarkussen/probit documentation built on April 3, 2021, 7:38 p.m.