bootstrap

bootstrap.partsurvfit

<code>bootstrap</code> is a generic function for generating bootstrap replicates of the parameters
of a fitted statistical model.

internal

A modular and computationally efficient R package for
parameterizing, simulating, and analyzing health economic simulation
models. The package supports cohort discrete time state transition models
(Briggs et al. 1998) <doi:10.2165/00019053-199813040-00003>,
N-state partitioned survival models (Glasziou et al. 1990)
<doi:10.1002/sim.4780091106>, and individual-level continuous
time state transition models (Siebert et al. 2012) <doi:10.1016/j.jval.2012.06.014>,
encompassing both Markov (time-homogeneous and time-inhomogeneous) and
semi-Markov processes. Decision uncertainty from a cost-effectiveness analysis is
quantified with standard graphical and tabular summaries of a probabilistic
sensitivity analysis (Claxton et al. 2005, Barton et al. 2008) <doi:10.1002/hec.985>,
<doi:10.1111/j.1524-4733.2008.00358.x>. Use of C++ and data.table
make individual-patient simulation, probabilistic sensitivity analysis,
and incorporation of patient heterogeneity fast.

Devin Incerti

hesim

Health Economic Simulation Modeling and Decision Analysis

Jeroen P. Jansen

Mark Clements

R Core Team 

bootstrap function

<dl><dt>object</dt>
<dd>A statistical model.</dd>
<dt>B</dt>
<dd>Number of bootstrap replications.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods. Currently unused.</dd>
<dt>max_errors</dt>
<dd>Maximum number of errors that are allowed when fitting statistical models
during the bootstrap procedure. This argument may be useful if, for instance, the model
fails to converge during some bootstrap replications. Default is 0.</dd>
<dt>silent</dt>
<dd>Logical indicating whether error messages should be suppressed. Passed to
the <code>silent</code> argument of <code><a href="/link/try()?package=hesim&version=0.5.5" data-mini-rdoc="hesim::try()">try()</a></code>.</dd></dl>

Arguments

Bootstrap a statistical model — bootstrap

<dl>

<dt>object</dt>
<dd>A statistical model.</dd>


<dt>B</dt>
<dd>Number of bootstrap replications.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods. Currently unused.</dd>


<dt>max_errors</dt>
<dd>Maximum number of errors that are allowed when fitting statistical models
during the bootstrap procedure. This argument may be useful if, for instance, the model
fails to converge during some bootstrap replications. Default is 0.</dd>


<dt>silent</dt>
<dd>Logical indicating whether error messages should be suppressed. Passed to
the <code>silent</code> argument of <code><a href='https://rdrr.io/r/base/try.html'>try()</a></code>.</dd>

</dl>

bootstrap: Bootstrap a statistical model

Description

Usage

Value

Arguments