H2OCoxPHModel-class

H2OCoxPHModel

show,H2OCoxPHModel-method

coef.H2OCoxPHModel

extractAIC.H2OCoxPHModel

logLik.H2OCoxPHModel

survfit.H2OCoxPHModel

vcov.H2OCoxPHModel

Virtual object representing H2O's CoxPH Model.

R interface for 'H2O', the scalable open source machine learning
platform that offers parallelized implementations of many supervised and
unsupervised machine learning algorithms such as Generalized Linear
Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests,
Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes,
Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection,
Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).

Tomas Fryda

R Interface for the 'H2O' Scalable Machine Learning Platform

Erin LeDell

Navdeep Gill

Spencer Aiello

Anqi Fu

Arno Candel

Cliff Click

Tom Kraljevic

Tomas Nykodym

Patrick Aboyoun

Michal Kurka

Michal Malohlava

Sebastien Poirier

Wendy Wong

Ludi Rehak

Eric Eckstrand

Brandon Hill

Sebastian Vidrio

Surekha Jadhawani

Amy Wang

Raymond Peck

Jan Gorecki

Matt Dowle

Yuan Tang

Lauren DiPerna

Veronika Maurerova

Yuliia Syzon

Adam Valenta

Marek Novotny

H2O.ai 

H2OCoxPHModel-class function

<dl><dt>object</dt>
<dd>an <code>H2OCoxPHModel</code> object.</dd>
<dt>...</dt>
<dd>additional arguments to pass on.</dd>
<dt>fit</dt>
<dd>an <code>H2OCoxPHModel</code> object.</dd>
<dt>scale</dt>
<dd>optional numeric specifying the scale parameter of the model.</dd>
<dt>k</dt>
<dd>numeric specifying the weight of the equivalent degrees of freedom.</dd>
<dt>formula</dt>
<dd>an <code>H2OCoxPHModel</code> object.</dd>
<dt>newdata</dt>
<dd>an optional <code>H2OFrame</code> or <code>data.frame</code> with the same
variable names as those that appear in the <code>H2OCoxPHModel</code> object.</dd></dl>

Arguments

The H2OCoxPHModel object. — H2OCoxPHModel-class

<dl>

<dt>object</dt>
<dd>an <code>H2OCoxPHModel</code> object.</dd>


<dt>...</dt>
<dd>additional arguments to pass on.</dd>


<dt>fit</dt>
<dd>an <code>H2OCoxPHModel</code> object.</dd>


<dt>scale</dt>
<dd>optional numeric specifying the scale parameter of the model.</dd>


<dt>k</dt>
<dd>numeric specifying the weight of the equivalent degrees of freedom.</dd>


<dt>formula</dt>
<dd>an <code>H2OCoxPHModel</code> object.</dd>


<dt>newdata</dt>
<dd>an optional <code>H2OFrame</code> or <code>data.frame</code> with the same
variable names as those that appear in the <code>H2OCoxPHModel</code> object.</dd>

</dl>

The H2OCoxPHModel object.

H2OCoxPHModel-class: The H2OCoxPHModel object.

Description

Usage

Arguments