foehnix.unreg.fit: Fitting Unregularized foehnix Mixture Model With Concomitant...

In retostauffer/Rfoehnix: Objective Foehn Diagnosis

Fitting Unregularized foehnix Mixture Model With Concomitant Model.

Description

Fitting method for two-component foehnix mixture model with additional concomitants. Typically not called directly, interfaced via foehnix.

Usage

foehnix.unreg.fit(
  y,
  logitX,
  family,
  switch = FALSE,
  maxit = 100L,
  tol = 1e-05,
  verbose = TRUE,
  ...
)

Arguments

y	numeric vector, covariate for the components of the mixture model, dimension N.
logitX	numeric matrix of dimension N x P, covariates for the concomitant model (logistic regression model matrix).
family	object of class foehnix.family.
switch	logical whether or not the two components should be switched. By default (switch = FALSE) the component which shows higher values of y is assumed to be the foehn cluster! Depending on what your covariate is you might need to switch the clusters (by setting switch = TRUE).
maxit	positive integer, or vector of length 2 with positive integer values. Maximum number of iterations of the EM algorithm and the concomitant model. Check manual of foehnix.control for more details.
tol	numeric, or vector of length 2 containing numeric values. Tolerance for the optimization (EM algorithm and concomitant model). Check manual of foehnix.control for more details.
verbose	logical, default TRUE. If set to FALSE verbose output will be suppressed.
...	currently unused.

Author(s)

Reto Stauffer

See Also

foehnix.family, foehnix, foehnix.control, foehnix.noconcomitant.fit, foehnix.reg.fit, iwls_logit.

retostauffer/Rfoehnix documentation built on June 5, 2023, 11:39 p.m.