EMalg: EM algorithm for rsmd

In agathasr/rsmd: Fits the weibull, gamma, lognormal or loglogistic model for repairable system with masked data.

Description

EMalg returns the maximum likelihood estimates obtained by EM algorithm.

Usage

EMalg(guess, Data, distribution, L)

Arguments

guess	The initial values for Weibull parameters. The default are (0,0).
Data	Data in the format as data_to_rsmd.
distribution	The chose distribution: weibull, gamma, lnorm, llogis.
L	Number of Monte carlo simulation.

Value

A list with the following components:

values	Values of parameters in all EM algorithm iterations.
est.par	The maximum likelihood estimates of the parameters.
max.logLik	The maximum likelihood value.
n.it	Number of EM iterations.
time	Computational time.

agathasr/rsmd documentation built on May 4, 2020, 4:09 p.m.