predict.tidycrr

Estimate subdistribution functions for crr objects

Provides an intuitive interface for working with the
competing risk endpoints. The package wraps the 'cmprsk' package, and
exports functions for univariate cumulative incidence estimates and
competing risk regression. Methods follow those introduced in Fine and
Gray (1999) <doi:10.1002/sim.7501>.

Daniel D. Sjoberg

tidycmprsk

Competing Risks Estimation

Teng Fei

predict.tidycrr function

<dl><dt>object</dt>
<dd>a tidycrr object</dd>
<dt>times</dt>
<dd>Numeric vector of times to obtain risk estimates at</dd>
<dt>probs</dt>
<dd>Numeric vector of quantiles to obtain estimates at</dd>
<dt>newdata</dt>
<dd>A <code><a href="/link/base%3A%3Adata.frame()?package=tidycmprsk&version=1.1.0" data-mini-rdoc="tidycmprsk::base::data.frame()">base::data.frame()</a></code> or <code><a href="https://tibble.tidyverse.org/reference/tibble.html">tibble::tibble()</a></code> containing all
the original predictors used to create x. Defaults to <code>NULL</code>.</dd>
<dt>...</dt>
<dd>not used</dd></dl>

Arguments

Estimate subdistribution functions for crr objects — predict.tidycrr

<dl>

<dt>object</dt>
<dd>a tidycrr object</dd>


<dt>times</dt>
<dd>Numeric vector of times to obtain risk estimates at</dd>


<dt>probs</dt>
<dd>Numeric vector of quantiles to obtain estimates at</dd>


<dt>newdata</dt>
<dd>A <code><a href='https://rdrr.io/r/base/data.frame.html'>base::data.frame()</a></code> or <code><a href='https://tibble.tidyverse.org/reference/tibble.html'>tibble::tibble()</a></code> containing all
the original predictors used to create x. Defaults to <code>NULL</code>.</dd>


<dt>...</dt>
<dd>not used</dd>

</dl>

predict.tidycrr: Estimate subdistribution functions for crr objects

Description

Usage

Value

Arguments

See Also

Examples