msmtools

msmtools-package

msmtools restructures standard longitudinal datasets into augmented
transition data for multi-state models fitted with msm. It also provides
graphical goodness-of-fit tools for survival curves and state prevalences
under the Markov assumption.

internal

A fast and general method for restructuring classical longitudinal
observational data into augmented transition data suitable for multi-state
modeling with the 'msm' package. Works with any longitudinal data where
subjects accumulate repeated observations with start and end times and an
optional terminal outcome. Methods are described in Grossetti, Ieva and
Paganoni (2018) <doi:10.1007/s10729-017-9400-z>.

Francesco Grossetti

Building Augmented Data to Run Multi-State Models with 'msm'
Package

msmtools-package function

Maintainer: Francesco Grossetti <a href="/link/francesco.grossetti%40unibocconi.it?package=msmtools&version=2.2.1" data-mini-rdoc="msmtools::francesco.grossetti@unibocconi.it">francesco.grossetti@unibocconi.it</a> (<a href="https://orcid.org/0000-0002-5130-7745">ORCID</a>)
Authors:<ul>
<li>Francesco Grossetti <a href="/link/francesco.grossetti%40unibocconi.it?package=msmtools&version=2.2.1" data-mini-rdoc="msmtools::francesco.grossetti@unibocconi.it">francesco.grossetti@unibocconi.it</a> (<a href="https://orcid.org/0000-0002-5130-7745">ORCID</a>)</li>
</ul>

Author

Building augmented data for multi-state models: the msmtools package — msmtools-package

Maintainer: Francesco Grossetti <a href='mailto:francesco.grossetti@unibocconi.it'>francesco.grossetti@unibocconi.it</a> (<a href='https://orcid.org/0000-0002-5130-7745'>ORCID</a>)
Authors:<ul>
<li>Francesco Grossetti <a href='mailto:francesco.grossetti@unibocconi.it'>francesco.grossetti@unibocconi.it</a> (<a href='https://orcid.org/0000-0002-5130-7745'>ORCID</a>)</li>
</ul>

msmtools-package: Building augmented data for multi-state models: the msmtools package

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