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
)sample size
number of predictors
numbers of Gaussian, Bernolli and Poisson responses
model rank
a vector of intercept
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.