simulations_n30_mi10: Covariates to run simulations
In KatarzynaReluga/postcAIC: Post-cAIC selection inference under Linear Mixed Models
Description
Fixed effect covariates with 30 cluster and 10 units in each
cluster to run simulations in Claeskens, Reluga and Sperlich (2021)
Usage
1
Format
A data matrix with 300 rows and 4 variables generated
from the multivariate normal distribution
X = rmvn(n = 30 * 10, mu = rep(0, 4), V = Omega)
where Omega is a variance covariance matrix with 1 on the diagonal
and 0.25 elsewhere
KatarzynaReluga/postcAIC documentation built on Jan. 25, 2022, 12:33 a.m.
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Description
Fixed effect covariates with 30 cluster and 10 units in each cluster to run simulations in Claeskens, Reluga and Sperlich (2021)
Usage
1 |
Format
A data matrix with 300 rows and 4 variables generated
from the multivariate normal distribution
X = rmvn(n = 30 * 10, mu = rep(0, 4), V = Omega)
where Omega is a variance covariance matrix with 1 on the diagonal
and 0.25 elsewhere
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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