plot.powerplot

a <code><a href="/link/powerplot?package=RRreg&version=0.4.1" rd-options="" 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 and as
    predictors in a linear regression. For simulation and bootstrap purposes,
    RR data can be generated according to several models.

plot.powerplot: Plot power of multivariate RR methods

Description

Usage

Arguments