Package index
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hazard() - Build and optionally fit a hazard model
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summary(<hazard>) - Summarize a hazard model
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predict(<hazard>) - Predict from a hazard model object
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coef(<hazard>) - Extract coefficients from hazard model
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vcov(<hazard>) - Extract variance-covariance matrix from hazard model
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hzr_phase()print(<hzr_phase>) - Specify a single hazard phase
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is_hzr_phase() - Test if an object is an hzr_phase
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hzr_phase_cumhaz() - Cumulative hazard contribution from a single phase
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hzr_phase_hazard() - Instantaneous hazard contribution from a single phase
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hzr_stepwise() - Stepwise covariate selection for a parametric hazard model
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print(<hzr_stepwise>) - Print method for
hzr_stepwise -
summary(<hzr_stepwise>) - Summary method for
hzr_stepwise -
as.data.frame(<hzr_stepwise>) - Coerce an
hzr_stepwiseresult to its selection trace -
stepwise_trace() - Extract the captured console trace from an
hzr_stepwisefit
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hzr_decompos() - Generalized temporal decomposition
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hzr_decompos_g3() - Late-phase (G3) temporal decomposition
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hzr_argument_mapping() - Legacy HAZARD to TemporalHazard argument mapping
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hzr_log1pexp() - Numerically stable log(1 + exp(x))
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hzr_log1mexp() - Numerically stable log(1 - exp(-x)) for x > 0
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hzr_clamp_prob() - Clamp probabilities away from 0 and 1
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hzr_deciles() - Decile-of-risk calibration
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print(<hzr_deciles>) - Print method for hzr_deciles
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hzr_gof() - Goodness-of-fit: observed vs. predicted events
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print(<hzr_gof>) - Print method for hzr_gof
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hzr_kaplan() - Kaplan-Meier survival with exact logit confidence limits
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print(<hzr_kaplan>) - Print method for hzr_kaplan
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hzr_calibrate() - Calibrate a continuous variable against an outcome
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print(<hzr_calibrate>) - Print method for hzr_calibrate
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hzr_nelson()print(<hzr_nelson>) - Wayne Nelson cumulative hazard estimator with lognormal confidence limits
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hzr_bootstrap()print(<hzr_bootstrap>) - Bootstrap resampling for hazard model coefficients
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hzr_competing_risks()print(<hzr_competing_risks>) - Competing risks cumulative incidence