update_beta: M-step : update of beta parameters

In binomialMix: Mixture Models for Binomial and Longitudinal Data

Description

M-step : update of beta parameters

Usage

update_beta(formula, df, k, col_id, tau, m, w_inv, z, matrix_id)

Arguments

formula	A character formula with target variable and predictor variables
df	A dataframe
k	The numeric value of the specific cluster to be updated
col_id	A character value corresponding to id column name
tau	A matrix of dimension : rows number is the number of cluster K, columns number is the number of distinct levels id
m	A numeric iterative value
w_inv	An inverse matrix representing the W matrix in the beta equation for the M step
z	Working data in the EM algorithm
matrix_id	A list of design matrices filter by id levels

Value

result_beta Estimated beta for cluster k

binomialMix documentation built on March 23, 2020, 5:09 p.m.