Simulation, Estimation and Reliability of Semi-Markov Models

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Documentation for package ‘smmR’ version 1.0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

smmR-package	smmR : Semi-Markov Models, Markov Models and Reliability
aic	Akaike Information Criterion (AIC)
availability	Availability Function
bic	Bayesian Information Criterion (BIC)
failureRate	Failure Rate Function
fitmm	Maximum Likelihood Estimation (MLE) of a k-th order Markov chain
fitsmm	Maximum Likelihood Estimation (MLE) of a semi-Markov chain
getKernel	Method to get the semi-Markov kernel q
is.mm	Function to check if an object is of class 'mm'
is.mmfit	Function to check if an object is of class 'mmfit'
is.smm	Function to check if an object is of class 'smm'
is.smmfit	Function to check if an object is of class 'smmfit'
is.smmnonparametric	Function to check if an object is of class 'smmnonparametric'
is.smmparametric	Function to check if an object is of class 'smmparametric'
loglik	Log-likelihood Function
maintainability	Maintainability Function
meanRecurrenceTimes	Method to get the mean recurrence times mu
meanSojournTimes	Mean Sojourn Times Function
mm	Markov model specification
mttf	Mean Time To Failure (MTTF) Function
mttr	Mean Time To Repair (MTTR) Function
plot.smm	Plot function for an object of class smm
plot.smmfit	Plot function for an object of class smmfit
reliability	Reliability Function
setSeed	Set the RNG Seed from within Rcpp
simulate.mm	Simulates k-th order Markov chains
simulate.mmfit	Simulates Markov chains
simulate.smm	Simulates semi-Markov chains
simulate.smmfit	Simulates semi-Markov chains
smmnonparametric	Non-parametric semi-Markov model specification
smmparametric	Parametric semi-Markov model specification
smmR	smmR : Semi-Markov Models, Markov Models and Reliability