Description Usage Arguments Value References
View source: R/regressor_matrix.R
Creates a random realization of a sparse multivariate regressor matrix.
1 | regressor_matrix(p, q, b1 = sqrt(0.1), b2 = sqrt(0.1), seed = NULL)
|
p |
number of regression features (positive integer) |
q |
number of regression responses (positive integer) |
b1 |
a Bernoulli parameter controlling the sparsity of the regressor matrix (0 <= |
b2 |
a second Bernoulli parameter controlling the sparsity of the regressor matrix (0 <= |
seed |
seed for pseudo-random number generator (numeric) |
Returns a random sparse regressor matrix of dimension
p
x q
with expected sparsity b1
x b2
.
MRCEtsmvr
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