Description Arguments Value Author(s)
makeData
simulates data from a factor quantile regression model.
N |
The sample size. |
whichFactor |
A vector that indicates which factor each manifest variable relates to. E.g., |
pQuant |
The quantile of interest. Defaults to |
lambda |
The vector of the non-zero elements of the factor loading matrix, with length equal to that of |
LambdaS |
The vector of factor loadings related to the response. Must have length equal to the number of distinct values in |
Phi |
Matrix of latent factor covariances. Must be symmetric and positive-definite and have dimension equal to the number of latent factors. Defaults to the identity matrix. |
lapScale |
Scale of the asymmetric Laplace error distribution. Defaults to |
Psi |
Vector of error variances for the manifest explanatory variables. |
Returns a matrix whose first column is the response Y
and whose remaining columns are the explanatory manifest variables with the underlying factor grouping implied by whichFactor
.
Lane F. Burgette, Department of Statistical Science, Duke University. lb131@stat.duke.edu
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