bc.binorm: bc.binorm

In bimixt: Estimates Mixture Models for Case-Control Data

Description

Implementation of binormal model. The binormal model estimates a single unimodal component for the cases and a single unimodal component for the controls.

Usage

bc.binorm(case, control, lambda.bounds = c(-5, 5))

Arguments

case	a numeric vector of case values
control	a numeric vector of control values
lambda.bounds	numeric vector of bounds: c(upper bound, lower bound). Specifies the range for optim to search for the optimization of lambda. Default: c(-5,5).

Value

lambda	Box-Cox transformation parameter
type	model type ("binorm")
mu.cases	mean of the Box-Cox transformed case component
sig.cases	standard deviation of the Box-Cox transformed case component
pi.cases	proportion of cases in each case component (always equal to 1 for binorm since all cases are forced into one component)
mu.controls	mean value of the Box-Cox transformed control component
sig.controls	standard deviation of the Box-Cox transformed control component
pi.controls	proportion of controls in each control component (always equal to 1 for binorm since all controls are forced into one component)
max.loglike	the maximum log likelihood value for the model
case	original case values
control	original control values
mu.cases.unt	an estimate of the untransformed mean of the case component. Based on Monte Carlo simulations. Values will differ by computer seed.
sig.cases.unt	an estimate of the untransformed standard deviation of the case component. Based on Monte Carlo simulations. Values will differ by computer seed.
mu.controls.unt	an estimate of the untransformed mean of the control component. Based on Monte Carlo simulations. Values will differ by computer seed.
sig.controls.unt	an estimate of the untransformed standard deviation of the control component. Based on Monte Carlo simulations. Values will differ by computer seed.

Author(s)

Michelle Winerip, Garrick Wallstrom, Joshua LaBaer

See Also

bc.twocomp bc.fourcomp em.twocomp.m1 em.twocomp.m2 em.twocomp.m3

bimixt documentation built on May 2, 2019, 3:31 p.m.