simfun_culc: simulation code, based approximately on Culcita data set not...

In bbolker/agqsims: adaptive Gauss-Hermite quadrature simulations

Description

simulation code, based approximately on Culcita data set not longitudinal; approximates toenail if n.ttt=2 simulates covariate x, but not currently used

Usage

simfun_culc(n.blocks = 10, n.ttt = 4, n.rep = 3, N.binom = 1,
  x.range = c(-1, 1), beta = c(5, -3.75, -4.4, -5.5), theta = 3.5,
  seed = NULL)

Arguments

n.blocks	number of levels of RE grouping variable
n.ttt	number of levels of (categorical) fixed effect
n.rep	number of replicates per ttt*block combination
N.binom	number of trials per binomial sample
x.range	range of continuous covariate (unused)
beta	fixed-effects parameter vector
theta	RE parameter vector (Cholesky factor)
seed	random-number seed

bbolker/agqsims documentation built on May 11, 2019, 9:27 p.m.