Simulation model 3
Generate data from a mixed-response reduced-rank regression model
rrr.sim3(n = 100, p = 30, q.mix = c(5, 20, 5), nrank = 2,
intercept = rep(0.5,30), mis.prop = 0.2)n |
sample size |
p |
number of predictors |
q.mix |
numbers of Gaussian, Bernolli and Poisson responses |
nrank |
model rank |
intercept |
a vector of intercept |
mis.prop |
missing proportion |
similated model and data
Chen, K., Luo, C., and Liang, J. (2017) Leveraging mixed and incomplete outcomes through a mixed-response reduced-rank regression. Technical report.
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