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survtmle (version 1.1.1)

Compute Targeted Minimum Loss-Based Estimates in Right-Censored Survival Settings

Description

Targeted estimates of marginal cumulative incidence in survival settings with and without competing risks, including estimators that respect bounds (Benkeser, Carone, and Gilbert. Statistics in Medicine, 2017. ).

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Install

install.packages('survtmle')

Monthly Downloads

15

Version

1.1.1

License

MIT + file LICENSE

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Repository

https://github.com/benkeser/survtmle

Maintainer

David Benkeser

Last Published

April 16th, 2019

Functions in survtmle (1.1.1)

makeWideDataList

Convert Long Form Data to List of Wide Form Data

Convert Short Form Data to List of Wide Form Data

Evaluate Results over Time Points of Interest

Gradient for Logistic Regression with Offsets

updateVariables

Update TMLEs for Hazard to Cumulative Incidence

print.tp.survtmle

print.tp.survtmle

TMLE for Cause-Specific Hazard Functions

estimateIteratedMean

Estimation for the Method of Iterated Means

estimateCensoring

Estimate Censoring Mechanisms

fluctuateHazards

Fluctuation for the Method of Cause-Specific Hazards

estimateTreatment

Estimate Treatment Mechanisms

plot.tp.survtmle

Plot Results of Cumulative Incidence Estimates

confint.survtmle

confint.survtmle

estimateHazards

Estimation for the Method of Cause-Specific Hazards

confint.tp.survtmle

confint.tp.survtmle

Mock RTSS/AS01 data set

TMLE for G-Computation of Cumulative Incidence

Check Function Inputs

fluctuateIteratedMean

Fluctuation for the Method of Iterated Means

LogLikelihood_offset

Log-Likelihood Offset

Wrapper for faster Generalized Linear Models

Clean up outputs from GLM

Compute Targeted Minimum Loss-Based Estimators in Survival Analysis Settings

getHazardInfluenceCurve

Extract Influence Curve for Estimated Hazard Functions

Gradient for Logistic Regression

Mock RV144 data set