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**msm**: Multi-State Markov and Hidden Markov Models in Continuous Time**printold.msm**: Print a fitted msm model object

# Print a fitted msm model object

### Description

Print a fitted msm model object (in old format, from msm 1.3.1 and earlier)

### Usage

1 | ```
printold.msm(x,...)
``` |

### Arguments

`x` |
Output from |

`...` |
Other arguments to be passed to |

### Details

See `print.msm`

for a better and cleaner output format,
and an explanation of the change.

### Author(s)

C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk

### See Also

`print.msm`

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- 2phase: Coxian phase-type distribution with two phases
- aneur: Aortic aneurysm progression data
- boot.msm: Bootstrap resampling for multi-state models
- bos: Bronchiolitis obliterans syndrome after lung transplants
- cav: Heart transplant monitoring data
- cmodel.object: Developer documentation: censoring model object
- coef.msm: Extract model coefficients
- crudeinits.msm: Calculate crude initial values for transition intensities
- deltamethod: The delta method
- draic.msm: Criteria for comparing two multi-state models with nested...
- ecmodel.object: Developer documentation: model for covariates on...
- efpt.msm: Expected first passage time
- ematrix.msm: Misclassification probability matrix
- emodel.object: Developer documentation: misclassification model structure...
- fev: FEV1 measurements from lung transplant recipients
- hazard.msm: Calculate tables of hazard ratios for covariates on...
- hmm-dists: Hidden Markov model constructors
- hmodel.object: Developer documentation: hidden Markov model structure object
- logLik.msm: Extract model log-likelihood
- lrtest.msm: Likelihood ratio test
- MatrixExp: Matrix exponential
- medists: Measurement error distributions
- model.frame.msm: Extract original data from 'msm' objects.
- msm: Multi-state Markov and hidden Markov models in continuous...
- msm2Surv: Convert data for 'msm' to data for 'survival', 'mstate' or...
- msm.form.qoutput: Extract msm model parameter estimates in compact format
- msm.object: Fitted msm model objects
- odds.msm: Calculate tables of odds ratios for covariates on...
- paramdata.object: Developer documentation: internal msm parameters object
- pearson.msm: Pearson-type goodness-of-fit test
- pexp: Exponential distribution with piecewise-constant rate
- phasemeans.msm: Parameters of phase-type models in mixture form
- plot.msm: Plots of multi-state models
- plot.prevalence.msm: Plot of observed and expected prevalences
- plotprog.msm: Kaplan Meier estimates of incidence
- plot.survfit.msm: Plot empirical and fitted survival curves
- pmatrix.msm: Transition probability matrix
- pmatrix.piecewise.msm: Transition probability matrix for processes with...
- pnext.msm: Probability of each state being next
- ppass.msm: Passage probabilities
- prevalence.msm: Tables of observed and expected prevalences
- print.msm: Print a fitted msm model object
- printold.msm: Print a fitted msm model object
- psor: Psoriatic arthritis data
- qcmodel.object: Developer documentation: model for covariates on transition...
- qgeneric: Generic function to find quantiles of a distribution
- qmatrix.msm: Transition intensity matrix
- qmodel.object: Developer documentation: transition model structure object
- qratio.msm: Estimated ratio of transition intensities
- recreate.olddata: Convert data stored in msm object to old format
- scoreresid.msm: Score residuals
- simfitted.msm: Simulate from a Markov model fitted using msm
- sim.msm: Simulate one individual trajectory from a continuous-time...
- simmulti.msm: Simulate multiple trajectories from a multi-state Markov...
- sojourn.msm: Mean sojourn times from a multi-state model
- statetable.msm: Table of transitions
- summary.msm: Summarise a fitted multi-state model
- surface.msm: Explore the likelihood surface
- tnorm: Truncated Normal distribution
- totlos.msm: Total length of stay, or expected number of visits
- transient.msm: Transient and absorbing states
- viterbi.msm: Calculate the probabilities of underlying states and the most...