Function sampleNorm2

Description

Function for sampling normal distribution with grand means built into participant effects (i.e., participant effects not zero-centered). This is useful for sampling DPSD or UVSD models with no item effects and without hierarchical pooling (neither of which should be done!).

Usage

1
sampleNorm2(sample, y, cond, subj, item, lag, N, I, J, R, ncond, nsub, nitem, s2mu, s2a, s2b, meta, metb, sigma2, sampLag = 1, Hier = 1)

Arguments

sample

~~Describe sample here~~

y

~~Describe y here~~

cond

~~Describe cond here~~

subj

~~Describe subj here~~

item

~~Describe item here~~

lag

~~Describe lag here~~

N

~~Describe N here~~

I

~~Describe I here~~

J

~~Describe J here~~

R

~~Describe R here~~

ncond

~~Describe ncond here~~

nsub

~~Describe nsub here~~

nitem

~~Describe nitem here~~

s2mu

~~Describe s2mu here~~

s2a

~~Describe s2a here~~

s2b

~~Describe s2b here~~

meta

~~Describe meta here~~

metb

~~Describe metb here~~

sigma2

~~Describe sigma2 here~~

sampLag

~~Describe sampLag here~~

Hier

~~Describe Hier here~~

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.