Fitting foehnix Mixture Model Without Concomitant Model.

Fitting method for two-component foehnix mixture model without concomitants. Typically not called directly, interfaced via foehnix.

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

Arguments

y

numeric vector, covariate for the components of the mixture model, dimension N.

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. Check manual of foehnix.control for more details.

tol

numeric, or vector of length 2 containing numeric values. Tolerance for the EM algorithm. Check manual of foehnix.control for more details.

verbose

logical, default TRUE. If set to FALSE verbose output will be suppressed.

...

currently unused.

See also

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

Author

Reto Stauffer