Package index
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amltest - AML test data
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amltrain - AML training data
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auc_mcm() - AUC for cure prediction using mean score imputation
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coef(<mixturecure>) - Extract model coefficients from a fitted mixturecure object
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concordance_mcm() - C-statistic for mixture cure models
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cure_estimate() - Estimate cured fraction
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cureem() - Fit penalized mixture cure model using the E-M algorithm
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curegmifs() - Fit penalized parametric mixture cure model using the GMIFS algorithm
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cv_cureem() - Fit penalized mixture cure model using the E-M algorithm with cross-validation for parameter tuning
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cv_curegmifs() - Fit a penalized parametric mixture cure model using the generalized monotone incremental forward stagewise (GMIFS) algorithm (Hastie et al 2007) with cross-validation for model selection
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dim(<mixturecure>) - Dimension method for mixturecure objects
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family(<mixturecure>) - Return model family and fitting algorithm for mixturecure model fits
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formula(<mixturecure>) - Extract model formula for mixturecure object
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generate_cure_data() - Simulate data under a mixture cure model
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logLik(<mixturecure>) - Log-likelihood for fitted mixture cure model
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nobs(<mixturecure>) - Number of observations in mixturecure object
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nonzerocure_test() - Non-parametric test for a non-zero cured fraction
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npar_mixturecure() - Number of parameters in fitted mixture cure model
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plot(<mixturecure>) - Plot fitted mixture cure model
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predict(<mixturecure>) - Predicted probabilities for susceptibles, linear predictor for latency, and risk class for latency for mixture cure fit
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print(<mixturecure>) - Print the contents of a mixture cure fitted object
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sufficient_fu_test() - Test for sufficient follow-up
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summary(<mixturecure>) - Summarize a fitted mixture cure object