plot.powerplot

a <code><a rd-options="" href="/link/powerplot?package=RRreg&version=0.6.1" data-mini-rdoc="RRreg::powerplot">powerplot</a></code> object


Plot estimated power from Monte Carlo simulation as a function of the sample size, separately for different effect sizes and multivariate RR methods


Univariate and multivariate methods to analyze
randomized response (RR) survey designs (e.g., Warner, S. L. (1965).
Randomized response: A survey technique for eliminating evasive answer
bias. Journal of the American Statistical Association, 60, 63–69).
Besides univariate estimates of true proportions, RR variables can be used
for correlations, as dependent variable in a logistic regression (with or
without random effects), as predictors in a linear regression, or as
dependent variable in a beta-binomial ANOVA. For simulation and bootstrap
purposes, RR data can be generated according to several models.

plot.powerplot: Plot power of multivariate RR methods

Description

Usage

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