dot-simulate.X: Simulate covariates without correlation.
In LMMELSM: Fit Latent Multivariate Mixed Effects Location Scale Models
.simulate.X R Documentation
Simulate covariates without correlation.
Description
Simulate covariates without correlation.
Usage
.simulate.X(n, K, P, L2_pred_only)
Arguments
n
Number of observations per k unit.
K
Number of k units (Level 2 units).
P
Number of covariates.
L2_pred_only
Logical (Default: FALSE). If generated predictors should be level-2 only.
Value
Matrix.
Author(s)
Stephen R. Martin
LMMELSM documentation built on Dec. 28, 2022, 1:32 a.m.
R Package Documentation
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| .simulate.X | R Documentation |
Simulate covariates without correlation.
Description
Simulate covariates without correlation.
Usage
.simulate.X(n, K, P, L2_pred_only)
Arguments
n |
Number of observations per k unit. |
K |
Number of k units (Level 2 units). |
P |
Number of covariates. |
L2_pred_only |
Logical (Default: FALSE). If generated predictors should be level-2 only. |
Value
Matrix.
Author(s)
Stephen R. Martin
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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