lambda_QUT_covariates: Computes the threshold $lambda_QUT$ with parametric bootstrap...

Description Usage Arguments Value Examples

View source: R/tune_regularization.R

Description

Computes the threshold $lambda_QUT$ with parametric bootstrap when covariates are available. If you don't have any covariates, use the function lambda_QUT which will be significantly faster.

Usage

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lambda_QUT_covariates(Y, projection = default_projection, q = 0.95,
  n = 100)

Arguments

Y

A matrix of counts (contingency table).

projection

A projection function on the space orthogonal to covariates. By default centers by rows and columns

q

A number between 0 and 1. The quantile of the distribution of $lambda_QUT$ to take.

n

An integer. The number of parametric bootstrap samples to draw.

Value

the value of $lambda_QUT$ to use in LoRI.

Examples

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X = matrix(rnorm(rep(0, 15)), 5)
Y = matrix(rpois(length(c(X)), exp(c(X))), 5)
lambda = lambda_QUT_covariates(Y, n=5)

     lambda = lambda_QUT_covariates(Y, n=100)

genevievelrobin/lori documentation built on April 2, 2018, 7:30 p.m.