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rrr.sim1

Simulation model 1


Description

Similar to the the RSSVD simulation model in Chen, Chan, Stenseth (2012), JRSSB.

Usage

rrr.sim1(n = 50, p = 25, q = 25, nrank = 3, s2n = 1, sigma = NULL,
         rho_X = 0.5, rho_E = 0)

Arguments

n, p, q

model dimensions

nrank

model rank

s2n

signal to noise ratio

sigma

error variance. If specfied, then s2n has no effect

rho_X

correlation parameter in the generation of predictors

rho_E

correlation parameter in the generation of random errors

Value

similated model and data

References

Chen, K., Chan, K.-S. and Stenseth, N. C. (2012) Reduced rank stochastic regression with a sparse singular value decomposition. Journal of the Royal Statistical Society: Series B, 74, 203–221.


rrpack

Reduced-Rank Regression

v0.1-11
GPL (>= 3)
Authors
Kun Chen [aut, cre] (<https://orcid.org/0000-0003-3579-5467>), Wenjie Wang [ctb] (<https://orcid.org/0000-0003-0363-3180>), Jun Yan [ctb] (<https://orcid.org/0000-0003-4401-7296>)
Initial release
2019-11-09

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