powerplot  R Documentation 
Uses the function RRsimu
to estimate the power of the
multivariate RR methods (correlation RRcor
, logistic regression
RRlog
, and/or linear regression RRlin
.
powerplot( numRep, n = c(100, 500, 1000), pi, cor = c(0, 0.1, 0.3), b.log = NULL, model, p, method = c("RRcor", "RRlog", "RRlin"), complyRates = c(1, 1), sysBias = c(0, 0), groupRatio = 0.5, alpha = 0.05, nCPU = 1, show.messages = TRUE )
numRep 
number of boostrap replications 
n 
vector of samples sizes 
pi 
true prevalence 
cor 
vector of true correlations 
b.log 
vector of true logistic regression coefficients 
model 
randomized response model 
p 
randomization probability 
method 
multivariate RR method 
complyRates 
probability of compliance within carriers/noncarriers of sensitive attribute 
sysBias 
probability of responding 'yes' in case of noncompliance 
groupRatio 
ratio of subgroups in twogroup RR designs 
alpha 
typeI error used to estimate power 
nCPU 
either the number of CPU cores or a cluster initialized via

show.messages 
toggle printing of progress messages 
a list of the class powerplot
containing an array res
with the power estimates and details of the simulation (e.g., model, p, pi,
etc.)
RRsimu
for MonteCarlo simulation / parametric bootstrap
# Not run # pplot < powerplot(100, n=c(150,250), cor=c(0,.3,.5), # method="RRlog", pi=.6, model="Warner", p=.3) # plot(pplot)
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