predict.RRlog

A fitted <code><a href="/link/RRlog?package=RRreg&version=0.4.1" rd-options="" data-mini-rdoc="RRreg::RRlog">RRlog</a></code> model

object

An optional vector, matrix, or data.frame with values on the predictor variables. Note that for matrices, the order of predictors should match the order of predictors in the formula. Uses the fitted values of the model if omitted.

newdata

Get standard errors for the fitted/predicted values (using the error variance and df of the original RR model).

se.fit

Confidence level for confidence interval. If 0, no boundaries are returned.

Predictions of the loglinear RR model for the individual probabilities of having the sensitive RR attribute.

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.

predict.RRlog: Predict Individual Prevalences of the RR Attribute

Description

Usage

Arguments