createIhtPrior {IterativeHardThresholding} | R Documentation |
Create an IHT Cyclops prior object
Description
createIhtPrior
creates an IHT Cyclops prior object for use with fitCyclopsModel
.
Usage
createIhtPrior(
K,
penalty = "bic",
exclude = c(),
forceIntercept = FALSE,
fitBestSubset = FALSE,
initialRidgeVariance = 0.1,
tolerance = 1e-08,
maxIterations = 10000,
threshold = 1e-06,
delta = 0
)
Arguments
K |
Maximum # of non-zero covariates |
penalty |
Specifies the IHT penalty; possible values are 'BIC' or 'AIC' or a numeric value |
exclude |
A vector of numbers or covariateId names to exclude from prior |
forceIntercept |
Logical: Force intercept coefficient into regularization |
fitBestSubset |
Logical: Fit final subset with no regularization |
initialRidgeVariance |
Numeric: variance used for algorithm initiation |
tolerance |
Numeric: maximum abs change in coefficient estimates from successive iterations to achieve convergence |
maxIterations |
Numeric: maximum iterations to achieve convergence |
threshold |
Numeric: absolute threshold at which to force coefficient to 0 |
delta |
Numeric: change from 2 in ridge norm dimension |
Value
An IHT Cyclops prior object of class inheriting from
"cyclopsPrior"
for use with fitCyclopsModel
.
Examples
prior <- createIhtPrior(K = 10)