gen.multi.lin.mixed: generates data from a random intercept linear mixed models...
In vahidnassiri/miscVSS: Miscellaneous Functions for Vertical Sample Splitting
Description
Usage
Arguments
Value
Author(s)
Description
generates data from a random intercept linear mixed models
with only intercepts: y_{rij} = β_r + b_{ri} + ε_{rij}
Usage
1
2
gen.multi.lin.mixed(sigma2, D, mu, num.clust, clust.size, num.var,
seed = 123)
Arguments
sigma2
error variance
D
random intercepts covariance matrix
mu
fixed effects values, the same length as num.var
num.clust
sample size
clust.size
cluster size
num.var
number of response variables
seed
a seed
Value
prepared dataset
Author(s)
Vahid Nassiri
vahidnassiri/miscVSS documentation built on June 25, 2019, 5:50 a.m.
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Description Usage Arguments Value Author(s)
Description
generates data from a random intercept linear mixed models with only intercepts: y_{rij} = β_r + b_{ri} + ε_{rij}
Usage
1 2 | gen.multi.lin.mixed(sigma2, D, mu, num.clust, clust.size, num.var,
seed = 123)
|
Arguments
sigma2 |
error variance |
D |
random intercepts covariance matrix |
mu |
fixed effects values, the same length as num.var |
num.clust |
sample size |
clust.size |
cluster size |
num.var |
number of response variables |
seed |
a seed |
Value
prepared dataset
Author(s)
Vahid Nassiri
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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