ConstructAssignCovariatesNormBin: Construct independent covariate generator
In kaz-yos/distributed: Examine Privacy Preserving Data Analysis Methods in Simulated Distributed Data Network
Description
Usage
Arguments
Value
Author(s)
View source: R/01.GenerateData.R
Description
Construct an independent covariate generator that generates the first covariate as Normal(mean1,sd1) random variable, whereas the other covariates are Bernoulli(p) random variables where p's are specified by equal interval sequence of (p2, ..., pp)
Usage
1
ConstructAssignCovariatesNormBin(mean1, sd1, p2, pLast)
Arguments
mean1
mean for first continuous normal covariate
sd1
sd for first continuous normal covariate
p2
prevalence of binary X2
pLast
prevalence of binary Xlast
Value
covariate generator that takes n and p as arguments
Author(s)
Kazuki Yoshida
kaz-yos/distributed documentation built on May 27, 2019, 4:50 a.m.
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Description Usage Arguments Value Author(s)
View source: R/01.GenerateData.R
Description
Construct an independent covariate generator that generates the first covariate as Normal(mean1,sd1) random variable, whereas the other covariates are Bernoulli(p) random variables where p's are specified by equal interval sequence of (p2, ..., pp)
Usage
1 | ConstructAssignCovariatesNormBin(mean1, sd1, p2, pLast)
|
Arguments
mean1 |
mean for first continuous normal covariate |
sd1 |
sd for first continuous normal covariate |
p2 |
prevalence of binary X2 |
pLast |
prevalence of binary Xlast |
Value
covariate generator that takes n and p as arguments
Author(s)
Kazuki Yoshida
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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