aft.gamma               Library of the Super Learner for an accelerated
                        failure time (AFT) parametric model with a
                        gamma distribution
aft.ggamma              Library of the Super Learner for an accelerated
                        failure time (AFT) parametric model with a
                        generalized gamma distribution
aft.llogis              Library of the Super Learner for an accelerated
                        failure time (AFT) parametric model with a log
                        logistic distribution
aft.weibull             Library of the Super Learner for an accelerated
                        failure time (AFT) parametric model with a
                        Weibull distribution
auc                     Area Under ROC Curve From Sensitivities And
                        Specificities.
cox.aic                 Library of the Super Learner for Cox univariate
                        significant model
cox.all                 Library of the Super Learner for Cox Regression
cox.en                  Library of the Super Learner for Elastic Net
                        Cox Regression
cox.lasso               Library of the Super Learner for Lasso Cox
                        Regression
cox.ridge               Library of the Super Learner for Ridge Cox
                        Regression
dataCSL                 CSL Liver Chirrosis Data.
dataDIVAT1              A First Sample From The DIVAT Data Bank.
dataDIVAT2              A Second Sample From the DIVAT Data Bank.
dataDIVAT3              A Third Sample From the DIVAT Data Bank.
dataDIVAT4              A Fourth Sample From the DIVAT Data Bank.
dataDIVAT5              The Aggregated Kidney Graft Survival Stratified
                        By The 1-year Serum Creatinine.
dataFTR                 Data for First Kidney Transplant Recipients.
dataHepatology          The Data Extracted From The Meta-Analysis By
                        Cabibbo et al. (2010).
dataKTFS                A Sixth Sample Of The DIVAT Cohort.
dataKi67                The Aggregated Data Published By de Azambuja et
                        al. (2007).
dataOFSEP               A Simulated Sample From the OFSEP Cohort.
dataSTR                 Data for Second Kidney Transplant Recipients.
differentiation         Numerical Differentiation with Finite
                        Differences.
expect.utility1         Cut-Off Estimation Of A Prognostic Marker (Only
                        One Observed Group).
expect.utility2         Cut-Off Estimation Of A Prognostic Marker (Two
                        Groups Are observed).
fr.ratetable            Expected Mortality Rates of the General French
                        Population
gc.logistic             Marginal Effect for Binary Outcome by
                        G-computation.
gc.sl.binary            Marginal Effect for Binary Outcome by Super
                        Learned G-computation.
gc.sl.time              Marginal Effect for Censored Outcome by
                        G-computation with a Super Learner for the
                        Outcome Model.
gc.survival             Marginal Effect for Censored Outcome by
                        G-computation with a Cox Regression for the
                        Outcome Model.
hr.sl.time              Conditionnal Effect for Censored Outcome with a
                        Super Learner for the Outcome Model.
ipw.log.rank            Log-Rank Test for Adjusted Survival Curves.
ipw.survival            Adjusted Survival Curves by Using IPW.
lines.rocrisca          Add Lines to a ROC Plot
lrs.multistate          Likelihood Ratio Statistic to Compare Embedded
                        Multistate Models
markov.3states          3-State Time-Inhomogeneous Markov Model
markov.3states.rsadd    3-state Relative Survival Markov Model with
                        Additive Risks
markov.4states          4-State Time-Inhomogeneous Markov Model
markov.4states.rsadd    4-state Relative Survival Markov Model with
                        Additive Risks
metric                  Metrics to Evaluate the Prognostic Capacities
mixture.2states         Horizontal Mixture Model for Two Competing
                        Events
nnet.time               Library of the Super Learner for Survival
                        Neural Network
ph.exponential          Library of the Super Learner for an
                        proportional hazards (PH) parametric model with
                        an Exponential distribution
ph.gompertz             Library of the Super Learner for an
                        proportional hazards (PH) parametric model with
                        a Gompertz distribution
plot.rocrisca           Plot Method for 'rocrisca' Objects
plot.sl.time            Caliration Plot for Super Learner
plot.survrisca          Plot Method for 'survrisca' Objects
port                    POsitivity-Regression Tree (PoRT) Algorithm to
                        Identify Positivity Violations.
pred.mixture.2states    Cumulative Incidence Function Form Horizontal
                        Mixture Model With Two Competing Events
predict.cox             Prediction from a Penalized Cox Regression
predict.flexsurv        Prediction from an Flexible Parametric Model
predict.nnet.time       Prediction from a Survival Neural Network
predict.rf.time         Prediction from a Suvival Random Forest Tree
predict.sl.time         Prediction from an Super Learner (SL) for
                        Censored Outcomes
rf.time                 Library of the Super Learner for Survival
                        Random Forest Tree
rmst                    Restricted Mean Survival Times.
roc.binary              ROC Curves For Binary Outcomes.
roc.net                 Net Time-Dependent ROC Curves With Right
                        Censored Data.
roc.prognostic.aggregate
                        Prognostic ROC Curve Based on Survival
                        Probabilities
roc.prognostic.individual
                        Prognostic ROC Curve based on Individual Data
roc.summary             Summary ROC Curve For Aggregated Data.
roc.time                Time-Dependent ROC Curves With Right Censored
                        Data.
semi.markov.3states     3-State Semi-Markov Model
semi.markov.3states.ic
                        3-State Semi-Markov Model With
                        Interval-Censored Data
semi.markov.3states.rsadd
                        3-State Relative Survival Semi-Markov Model
                        With Additive Risks
semi.markov.4states     4-State Semi-Markov Model
semi.markov.4states.rsadd
                        4-State Relative Survival Semi-Markov Model
                        With Additive Risks
sl.time                 Super Learner for Censored Outcomes
summary.sl.time         Summaries of a Super Learner
survival.mr             Multiplicative-Regression Model to Compare the
                        Risk Factors Between Two Reference and Relative
                        Populations
survival.summary        Summary Survival Curve From Aggregated Data
survival.summary.strata
                        Summary Survival Curve And Comparison Between
                        Strata.
tune.cox.aic            Tune cox step AIC with forward selection
tune.cox.en             Tune Elastic Net Cox Regression
tune.cox.lasso          Tune Lasso Cox Regression
tune.cox.ridge          Tune Ridge Cox Regression
tune.nnet.time          Tune a 1-Layer Survival Neural Network
tune.rf.time            Tune Survival Random Forest Tree
