runEM_1: EM on the data without case 3.

In ananjysong/HMMdmdv: Hidden Markov Model for Bayesian inference of large-scale mean and variance testing

Description

Simply take the data without case 3 as independent Gaussian mixture and estimate the hyperparameters.

Usage

runEM_1(dat_df, EM_threshold = 1e-04, n1, n2, init_para_est, niter)

Arguments

dat_df	The input data frame.
EM_threshold	The threshold of parameter diffrences among iterations. Default: 0.0001. Control the number of EM iterations.
n1	The sample size of group 1.
n2	The sample size of group 2.
init_para_est	The initial parameter estimates.
niter	The upper limit for number of EM iterations.

Value

The number of iterations and the EM estimate of hyperparameters together with proportion parameters in the setting of no case 3.

ananjysong/HMMdmdv documentation built on May 13, 2019, 5:33 p.m.