SurvMatrix

SurvEvents

SurvProbs

Create a matrix of survival events or probabilites.

Meta-package for statistical and machine learning with a unified
interface for model fitting, prediction, performance assessment, and
presentation of results.  Approaches for model fitting and prediction of
numerical, categorical, or censored time-to-event outcomes include
traditional regression models, regularization methods, tree-based methods,
support vector machines, neural networks, ensembles, data preprocessing,
filtering, and model tuning and selection.  Performance metrics are provided
for model assessment and can be estimated with independent test sets, split
sampling, cross-validation, or bootstrap resampling.  Resample estimation
can be executed in parallel for faster processing and nested in cases of
model tuning and selection.  Modeling results can be summarized with
descriptive statistics; calibration curves; variable importance; partial
dependence plots; confusion matrices; and ROC, lift, and other performance
curves.

Brian Smith

MachineShop

Machine Learning Models and Tools

SurvMatrix function

<dl><dt>data</dt>
<dd>matrix, or object that can be coerced to one, with survival
events or probabilities at points in time in the columns and cases in the
rows.</dd>
<dt>times</dt>
<dd>numeric vector of survival times for the columns.</dd>
<dt>distr</dt>
<dd>character string specifying the survival distribution from which
the matrix values were derived.</dd></dl>

Arguments

SurvMatrix Class Constructors — SurvMatrix

<dl>

<dt>data</dt>
<dd>matrix, or object that can be coerced to one, with survival
events or probabilities at points in time in the columns and cases in the
rows.</dd>


<dt>times</dt>
<dd>numeric vector of survival times for the columns.</dd>


<dt>distr</dt>
<dd>character string specifying the survival distribution from which
the matrix values were derived.</dd>

</dl>

SurvMatrix: SurvMatrix Class Constructors

Description

Usage

Value

Arguments

See Also