SurvMatrix

SurvEvents

SurvProbs

matrix, or object that can be converted to one, of predicted
survival events or probabilities with columns and rows representing
prediction times and cases, respectively.

object

numeric vector of the survival prediction times.

times

Create an object of predicted survival events or probabilites for use with
metrics provided by the MachineShop package.

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.

SurvMatrix: SurvMatrix Class Constructor

Description

Usage

Arguments

Value

See Also