Penalized Mixture Cure Models for High-Dimensional Data

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Documentation for package ‘hdcuremodels’ version 0.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

amltest	AML test data
amltrain	AML training data
AUC	AUC for cure prediction using mean score imputation
coef.mixturecure	Extract model coefficients from a fitted mixture cure object
concordance_mcm	C-statistic for mixture cure models
cureem	Fit penalized mixture cure model using the E-M algorithm
curegmifs	Fit penalized parametric mixture cure model using the GMIFS algorithm
cure_estimate	Estimate cured fraction
cv_cureem	Fit penalized mixture cure model using the E-M algorithm with cross-validation for parameter tuning
cv_curegmifs	Fit a penalized parametric mixture cure model using the GMIFS algorithm with cross-validation for model selection
generate_cure_data	Simulate data under a mixture cure model
nonzerocure_test	Non-parametric pest for a non-zero cured fraction
plot.mixturecure	Plot fitted mixture cure model
predict.mixturecure	Predicted probabilities for susceptibles, linear predictor for latency, and risk class for latency for mixture cure fit
print.mixturecure	Print the contents of a mixture cure fitted object
sufficient_fu_test	Test for sufficient follow-up
summary.mixturecure	Summarize a Fitted Mixture Cure Object.