sampleNorm2 {hbmem} | R Documentation |
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
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~~ |
[Package
hbmem version 0.2
Index]