simulate_lsr {mixedLSR} | R Documentation |
Simulate Heterogeneous, Low-Rank, and Sparse Data
Description
Simulate Heterogeneous, Low-Rank, and Sparse Data
Usage
simulate_lsr(
N = 100,
k = 2,
p = 30,
m = 35,
b = 1,
d = 20,
h = 0.2,
case = "independent"
)
Arguments
N |
The sample size, default = 100. |
k |
The number of groups, default = 2. |
p |
The number of predictor features, default = 30. |
m |
The number of response features, default = 35. |
b |
The signal-to-noise ratio, default = 1. |
d |
The singular value, default = 20. |
h |
The lower bound for the singular matrix simulation, default = 0.2. |
case |
The covariance case, "independent" or "dependent", default = "independent". |
Value
A list of simulation values, including x matrix, y matrix, coefficients and true clustering assignments.
Examples
simulate_lsr()
[Package mixedLSR version 0.1.0 Index]