k_max {holiglm} | R Documentation |
Constraint on the Number of Covariates
Description
Constraint on the maximum number of covariates to be used in the model.
Usage
k_max(k)
Arguments
k |
an positive integer with |
Value
A holistic generalized model constraint, object inheriting from class "hglmc"
.
Note
If an intercept is used, the upper bound on
is given by number of columns of the model matrix.
If no intercept is used, the upper bound on
is given by number of columns of the model matrix.
See Also
Other Constraint-Constructors:
group_equal()
,
group_inout()
,
group_sparsity()
,
include()
,
linear()
,
lower()
,
pairwise_sign_coherence()
,
rho_max()
,
sign_coherence()
,
upper()
Examples
dat <- rhglm(100, c(1, 2, -3, 4, 5, -6))
hglm(y ~ ., constraints = k_max(3), data = dat)
[Package holiglm version 1.0.0 Index]