Data Preparation, Estimation and Prediction in Multi-State Models

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**aidssi:**Data from the Amsterdam Cohort Studies on HIV infection and...**bmt:**BMT data from Klein and Moeschberger**crprep.default:**Function to create weighted data set for competing risks...**Cuminc:**Calculate nonparametric cumulative incidence functions and...**cutLMms:**Cut a multi-state data set at a landmark time point**EBMT-cause-of-death-data:**Data from the European Society for Blood and Marrow...**EBMT-data:**Data from the European Society for Blood and Marrow...**EBMT-platelet-recovery-data:**Data from the European Society for Blood and Marrow...**EBMT-year-of-relapse-data:**Data from the European Society for Blood and Marrow...**ELOS:**Expected length of stay**etm2msdata:**Converts between etm and msdata format**events:**Count number of observed transitions**expand.covs:**Expand covariates in competing risks dataset in stacked...**expand.covs.msdata:**Expand covariates in multi-state dataset in long format**haz_function:**Helper function that calculates excess and population hazards...**Liver-cirrhosis-data:**Abnormal prothrombin levels in liver cirrhosis**LMAJ:**Landmark Aalen-Johansen method**MarkovTest:**Log-rank based test for the validity of the Markov assumption**modify_transMat:**Upgrade the transMat object for the multi-state/relsurv...**msboot:**Bootstrap function in multi-state models**msboot.relsurv:**Bootstrap function for upgraded multi-state models using...**msboot.relsurv.boot:**Default theta function used for msboot.relsurv**msdata2etm:**msdata to etm format**msfit:**Compute subject-specific transition hazards with...**msfit.relsurv:**Extend a multi-state model using relative survival**msprep:**Function to prepare dataset for multi-state modeling in long...**mssample:**Sample paths through a multi-state model**mstate-package:**Data preparation, estimation and prediction in multi-state...**paths:**Find all possible trajectories through a given multi-state...**plot.Cuminc:**Plot method for Cuminc objects**plot.MarkovTest:**Plot method for a MarkovTest object**plot.msfit:**Plot method for an msfit object**plot.probtrans:**Plot method for a probtrans object**print.MarkovTest:**Print method for a MarkovTest object**print.msdata:**Print method for a msdata object**print.summary.msfit:**Print method for summary.msfit object**print.summary.probtrans:**Print method for a summary.probtrans object**probtrans:**Compute subject-specific or overall transition probabilities...**redrank:**Reduced rank proportional hazards model for competing risks...**summary.Cuminc:**Summary method for a summary.Cuminc object**summary.msfit:**Summary method for an msfit object**summary.probtrans:**Summary method for a probtrans object**trans2tra:**Convert transition matrix from mstate to etm format**transhelp:**Help functions for transition matrix**transMat:**Define transition matrix for multi-state model**varHaz.fixed:**Upgrade the varHaz object**vis.mirror.pt:**Mirror plot comparing two probtrans objects**vis.multiple.pt:**Visualise multiple probtrans objects**xsect:**Make a cross-section of multi-state data at a given time...**Browse all...**

You can install the released version of mstate from CRAN with:

```
install.packages("mstate")
```

Alternatively, you can install the development version from GitHub:

```
devtools::install_github("hputter/mstate")
```

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