mixtools initializations {mixtools} | R Documentation |
Internal intialization functions for EM algorithms in the package mixtools
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flaremix.init(y, x, lambda = NULL, beta = NULL, sigma = NULL, alpha = NULL) 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.chgpt.init(y, x, lambda = NULL, beta = NULL, gamma = NULL, sigma = NULL, t = 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)
These are usually not to be called by the user. Definitions of the arguments appear in the respective EM algorithms.