mixtools (version 1.0.4)

mixtools initializations: 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.