https://github.com/cran/HLSM
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Tip revision: e59f1fc3b0389804e671d681b7fc639e687d4154 authored by Tracy Sweet on 01 March 2020, 06:00:06 UTC
version 0.8.2
Tip revision: e59f1fc
HLSM.school.advice.R
#library(HLSM)
#data(schools-advice-data)

message ("Predictors: Edge variables")
print (ps.edge.vars.mat[[1]][1:10,1:10,])

message ("Outcome: Advice seeking")
print (ps.advice.mat[[1]][1:10,1:10])

#Random Regression Coefficients#
priors = NULL
tune = NULL
initialVals = NULL
niter = 10

random.fit = HLSM(X = ps.edge.vars.mat,Y = ps.advice.mat,
	initialVals = initialVals,priors = priors,
	tune = tune,tuneIn = FALSE,dd = 2,niter = niter)


summary(random.fit)
names(random.fit)

fixed.fit = HLSMfixedEF(X = ps.edge.vars.mat,Y = ps.advice.mat,
	initialVals = initialVals,priors = priors,
	tune = tune,tuneIn = FALSE,dd = 2,niter = niter)

summary(fixed.fit)
names(fixed.fit)

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