CSC                     Cause-specific Cox proportional hazard
                        regression
FGR                     Formula wrapper for crr from cmprsk
Melanoma                Malignant melanoma data
Paquid                  Paquid sample
Score.list              Score risk predictions
SurvResponseVar         Extract the time and event variable from a Cox
                        model
as.data.table.ate       Turn ate Object Into a 'data.table'
as.data.table.ateRobust
                        Turn ate Object Into a 'data.table'
as.data.table.influenceTest
                        Turn influenceTest Object Into a 'data.table'
as.data.table.predictCSC
                        Turn predictCSC Object Into a 'data.table'
as.data.table.predictCox
                        Turn predictCox Object Into a 'data.table'
ate                     Compute the Average Treatment Effects Via the
                        G-formula
ateRobust               Average Treatment Effects (ATE) for survival
                        outcome (with competing risks) using doubly
                        robust estimating equations
autoplot.Score          ggplot AUC curve
autoplot.ate            Plot Average Risks
autoplot.predictCSC     Plot Predictions From a Cause-specific Cox
                        Proportional Hazard Regression
autoplot.predictCox     Plot Predictions From a Cox Model
boot2pvalue             Compute the p.value from the distribution under
                        H1
boxplot.Score           Boxplot risk quantiles
calcSeCSC               Standard error of the absolute risk predicted
                        from cause-specific Cox models
calcSeCox               Computation of standard errors for predictions
coef.CauseSpecificCox   Extract coefficients from a Cause-Specific Cox
                        regression model
coef.riskRegression     Extract coefficients from riskRegression model
colCenter_cpp           Apply - by column
colCumSum               Apply cumsum in each column
colMultiply_cpp         Apply * by column
colScale_cpp            Apply / by column
colSumsCrossprod        Apply crossprod and colSums
confBandCox             Compute quantiles of a gaussian process
confint.ate             Confidence Intervals and Confidence Bands for
                        the Predicted Absolute Risk (Cumulative
                        Incidence Function)
confint.ateRobust       Confidence Intervals for the Average Treatment
                        Effect
confint.influenceTest   Confidence Intervals and Confidence Bands for
                        the Difference Between Two Estimates
confint.predictCSC      Confidence Intervals and Confidence Bands for
                        the Predicted Absolute Risk (Cumulative
                        Incidence Function)
confint.predictCox      Confidence Intervals and Confidence Bands for
                        the predicted Survival/Cumulative Hazard
coxBaseEstimator        Extract the type of estimator for the baseline
                        hazard
coxCenter               Extract the mean value of the covariates
coxFormula              Extract the formula from a Cox model
coxLP                   Compute the linear predictor of a Cox model
coxModelFrame           Extract the design matrix used to train a Cox
                        model
coxN                    Extract the number of observations from a Cox
                        model
coxSpecial              Special characters in Cox model
coxStrata               Define the strata for a new dataset
coxStrataLevel          Returns the name of the strata in Cox model
coxVarCov               Extract the variance covariance matrix of the
                        beta from a Cox model
coxVariableName         Extract variable names from a model
discreteRoot            Dichotomic search for monotone function
getSplitMethod          Input for data splitting algorithms
iidCox                  Extract i.i.d. decomposition from a Cox model
influenceTest           Influence test [Experimental!!]
ipcw                    Estimation of censoring probabilities
model.matrix.cph        Extract design matrix for cph objects
model.matrix.phreg      Extract design matrix for phreg objects
penalizedS3             S3-wrapper for S4 function penalized
plot.riskRegression     Plotting predicted risk
plotAUC                 Plot of time-dependent AUC curves
plotBrier               Plot Brier curve
plotCalibration         Plot Calibration curve
plotEffects             Plotting time-varying effects from a risk
                        regression model.
plotROC                 Plot ROC curves
plotRisk                plot predicted risks
predict.CauseSpecificCox
                        Predicting Absolute Risk from Cause-Specific
                        Cox Models
predict.FGR             Predict subject specific risks (cumulative
                        incidence) based on Fine-Gray regression model
predict.riskRegression
                        Predict individual risk.
predictCox              Fast computation of survival probabilities,
                        hazards and cumulative hazards from Cox
                        regression models
predictCoxPL            Computation of survival probabilities from Cox
                        regression models using the product limit
                        estimator.
predictRisk             Extrating predicting risks from regression
                        models
predictSurv             Compute Event-Free Survival From a CSC Object
print.CauseSpecificCox
                        Print of a Cause-Specific Cox regression model
print.FGR               Print of a Fine-Gray regression model
print.Score             Print Score object
print.ate               Print Average Treatment Effects
print.ateRobust         Print Average Treatment Effect
print.influenceTest     Output of the DIfference Between Two Estimates
print.predictCSC        Print Predictions From a Cause-specific Cox
                        Proportional Hazard Regression
print.predictCox        Print Predictions From a Cox Model
print.riskRegression    Print function for riskRegression models
print.subjectWeights    Print subject weights
reconstructData         Reconstruct the original dataset
riskRegression          Risk Regression Fits a regression model for the
                        risk of an event - allowing for competing
                        risks.
rowCenter_cpp           Apply - by row
rowCumSum               Apply cumsum in each row
rowMultiply_cpp         Apply * by row
rowScale_cpp            Apply / by row
rowSumsCrossprod        Apply crossprod and rowSums
rsquared                Explained variation for settings with binary,
                        survival and competing risk outcome
sampleData              Simulate data with binary or time-to-event
                        outcome
selectCox               Backward variable selection in the Cox
                        regression model
selectJump              Evaluate the influence function at selected
                        times
simMelanoma             Simulate data alike the Melanoma data
sliceMultiply_cpp       Apply * by slice
sliceScale_cpp          Apply / by slice
splitStrataVar          Reconstruct each of the strata variables
subjectWeights          Estimation of censoring probabilities at
                        subject specific times
summary.FGR             Summary of a Fine-Gray regression model
summary.riskRegression
                        Summary of a risk regression model
terms.phreg             Extract terms for phreg objects
transformCI             Compute Confidence Intervals using a
                        transformation
transformCIBP           Compute Confidence Intervals/Bands and P-values
                        After a Transformation
transformIID            Compute Influence Functions after
                        Transformation
transformP              Compute P-values After a Transformation
transformSE             Compute Standard Errors after Transformation
