rcbin: Generates correlated binary cluster data

In akhtarh/ICCbin: Facilitates Clustered Binary Data Generation, and Estimation of Intracluster Correlation Coefficient (ICC) for Binary Data

Description

Generates correrlated binary cluster data given value of Intracluster Correlation, proportion of event, perceent of variation in event proportion, number of clusters, cluster size and percent of variation in cluster size

Usage

rcbin(prop = 0.5, prvar = 0, noc, csize, csvar = 0, rho)

Arguments

prop	A numeric value between 0 and 1 denoting assumed proportion of event in interest, default value is 0.5. See Detail
prvar	A numeric value between 0 and 1 denoting percent of variation in assumed proportion of event (prvar), default value is 0. See Detail
noc	A numeric value telling the number of clusters to be generated
csize	A numeric value denoting desired cluster size. See Deatil
csvar	A numeric value between 0 and 1 denoting percent of variation in cluster sizes (csize), default value is 0. See Detail
rho	A numeric value between 0 and 1 denoting desired level of Intracluster Correlation

Details

The minimum and maximum values of event proportion (prop) will be taken as 0 and 1 respectively in cases where it exceeds the valid limits (0, 1) due to larger value of percent variation (prvar) supplied

The minimum value of cluster size (csize) will be taken as 2 in cases where it goes below 2 due to larger value of percent variation (csvar) supplied

Value

A dataframe with two columns presenting cluster id (cid) and a binary response (y) variables

Author(s)

Akhtar Hossain [e-mail]

Hrishikesh Chakraborty [e-mail]

References

Lunn, A.D. and Davies, S.J., 1998. A note on generating correlated binary variables. Biometrika, 85(2), pp.487-490.

See Also

rcbin1 iccbin

Examples

rcbin(prop = .4, prvar = .2, noc = 30, csize = 20, csvar = .2, rho = .2)

akhtarh/ICCbin documentation built on May 17, 2019, 12:04 p.m.