R: Initializations for Various EM Algorithms in 'mixtools'

mixtools initializations {mixtools} | R Documentation

## Initializations for Various EM Algorithms in 'mixtools'

### Description

Internal intialization functions for EM algorithms in the package `mixtools`.

### Usage

    flaremix.init(y, x, lambda = NULL, beta = NULL, sigma = NULL,
                  alpha = NULL)
    gammamix.init(x, lambda = NULL, alpha = NULL, beta = NULL,
                  k = 2)
    logisregmix.init(y, x, N, lambda = NULL, beta = NULL, k = 2)
    multmix.init(y, lambda = NULL, theta = NULL, k = 2)
    mvnormalmix.init(x, lambda = NULL, mu = NULL, sigma = NULL,
                     k = 2, arbmean = TRUE, arbvar = TRUE)
    normalmix.init(x, lambda = NULL, mu = NULL, s = NULL, k = 2,
                   arbmean = TRUE, arbvar = TRUE)
    poisregmix.init(y, x, lambda = NULL, beta = NULL, k = 2)

    regmix.init(y, x, lambda = NULL, beta = NULL, s = NULL, k = 2,
                addintercept = TRUE, arbmean = TRUE, arbvar=TRUE)
    regmix.lambda.init(y, x, lambda = NULL, beta = NULL, s = NULL,
                       k = 2, addintercept = TRUE, arbmean = TRUE,
                       arbvar = TRUE)
    regmix.mixed.init(y, x, w = NULL, sigma = NULL,
                      arb.sigma = TRUE, alpha = NULL, lambda = NULL,
                      mu = NULL, R = NULL, arb.R = TRUE, k = 2,
                      mixed = FALSE, addintercept.fixed = FALSE,
                      addintercept.random = TRUE)
    repnormmix.init(x, lambda = NULL, mu = NULL, s = NULL, k = 2,
                    arbmean = TRUE, arbvar = TRUE)
    segregmix.init(y, x, lambda = NULL, beta = NULL, s = NULL, k = 2,
                   seg.Z, psi, psi.locs = NULL)

### Details

These are usually not to be called by the user. Definitions of the arguments appear in the respective EM algorithms.

[Package mixtools version 1.2.0 Index]