citrus.generateRegularizationThresholds: Generate model regularization thresholds

In ParkerICI/kumquat: Identification of stratifying subpopulations in Flow Cytometry Data (based on the Citrus package)

Description

Generate a range of regularization thresholds for model construction

Usage

citrus.generateRegularizationThresholds.classification(
  features,
  labels,
  modelType,
  n = 100,
  ...
)

citrus.generateRegularizationThresholds.continuous(
  features,
  labels,
  modelType,
  n = 100,
  ...
)

citrus.generateRegularizationThresholds(
  features,
  labels,
  modelType,
  family,
  n = 100,
  ...
)

Arguments

features	Features used to construct model
labels	Endpoint lables for samples and features
modelType	Method used to construct endpoint model. Valid options are: pamr and glmnet.
n	Number of regularization thresholds to generate
...	Other arguments passed to model-fitting methods
family	Model family. Valid options are: classification and continuous.

Value

A vector of regularization threshold values.

Author(s)

Robert Bruggner

ParkerICI/kumquat documentation built on Dec. 18, 2021, 6:40 a.m.