Man pages for smmR
Simulation, Estimation and Reliability of Semi-Markov Models
| 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... |
| 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-package | smmR : Semi-Markov Models, Markov Models and Reliability |
