Man pages for riskRegression
Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
| anova.ate | Risk Comparison Over Time |
| as.data.table.ate | Turn ate Object Into a 'data.table' |
| as.data.table.influenceTest | Turn influenceTest Object Into a 'data.table' |
| as.data.table.predictCox | Turn predictCox Object Into a 'data.table' |
| as.data.table.predictCSC | Turn predictCSC Object Into a 'data.table' |
| ate | Average Treatment Effects Computation |
| autoplot.ate | Plot Average Risks |
| autoplot.predictCox | Plot Predictions From a Cox Model |
| autoplot.predictCSC | Plot Predictions From a Cause-specific Cox Proportional... |
| autoplot.Score | ggplot AUC curve |
| baseHaz_cpp | C++ Fast Baseline Hazard Estimation |
| boot2pvalue | Compute the p.value from the distribution under H1 |
| boxplot.Score | Boxplot risk quantiles |
| calcSeCox | Computation of standard errors for predictions |
| calcSeCSC | Standard error of the absolute risk predicted from... |
| Cforest | S3-wrapper function for cforest from the party package |
| coef.ate | Estimated Average Treatment Effect. |
| coef.CauseSpecificCox | Extract coefficients from a Cause-Specific Cox regression... |
| coef.riskRegression | Extract coefficients from riskRegression model |
| coef.wglm | Estimates from IPCW Logistic Regressions |
| colCenter_cpp | Apply - by column |
| colCumSum | Apply cumsum in each column |
| colMultiply_cpp | Apply * by column |
| colScale_cpp | Apply / by column |
| confint.ate | Confidence Intervals and Confidence Bands for the average... |
| confint.influenceTest | Confidence Intervals and Confidence Bands for the Difference... |
| confint.predictCox | Confidence Intervals and Confidence Bands for the predicted... |
| confint.predictCSC | Confidence Intervals and Confidence Bands for the Predicted... |
| confint.wglm | Confidence intervals for Estimate from IPCW Logistic... |
| 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... |
| coxVariableName | Extract variable names from a model |
| CSC | Cause-specific Cox proportional hazard regression |
| Ctree | S3-Wrapper for ctree. |
| dicreteRoot | Dichotomic search for monotone function |
| FGR | Formula wrapper for crr from cmprsk |
| getSplitMethod | Input for data splitting algorithms |
| GLMnet | Formula interface for glmnet |
| Hal9001 | Fitting HAL for use with predictRisk |
| iidCox | Extract iid decomposition from a Cox model |
| iid.wglm | IID for IPCW Logistic Regressions |
| influenceTest | Influence test [Experimental!!] |
| information.wglm | Information for IPCW Logistic Regressions |
| IPA | Explained variation for settings with binary, survival and... |
| ipcw | Estimation of censoring probabilities |
| is.iidCox | Check Computation of the Influence Function in a Cox Model |
| Melanoma | Malignant melanoma data |
| model.matrix.cph | Extract design matrix for cph objects |
| model.matrix.phreg | Extract design matrix for phreg objects |
| model.tables.ate | Statistical Inference for the Average Treatment Effect |
| model.tables.wglm | Statistical Inference for Estimate from IPCW Logistic... |
| Paquid | Paquid sample |
| penalizedS3 | S3-wrapper for S4 function penalized |
| 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. |
| plotPredictRisk | Plotting predicted risks curves. |
| plotRisk | plot predicted risks |
| plot.riskRegression | Plotting predicted risk |
| plotROC | Plot ROC curves |
| predict.CauseSpecificCox | Predicting Absolute Risk from Cause-Specific Cox Models |
| predictCox | Survival probabilities, hazards and cumulative hazards from... |
| predictCoxPL | Deprecated Function for Product Limit Estimation of Survival... |
| predict.FGR | Predict subject specific risks (cumulative incidence) based... |
| predictRisk | Extrating predicting risks from regression models |
| predict.riskRegression | Predict individual risk. |
| print.ate | Print Average Treatment Effects |
| print.CauseSpecificCox | Print of a Cause-Specific Cox regression model |
| print.FGR | Print of a Fine-Gray regression model |
| print.GLMnet | Print of a glmnet regression model |
| print.influenceTest | Output of the DIfference Between Two Estimates |
| print.IPA | Print IPA object |
| print.predictCox | Print Predictions From a Cox Model |
| print.predictCSC | Print Predictions From a Cause-specific Cox Proportional... |
| print.riskRegression | Print function for riskRegression models |
| print.Score | Print Score object |
| print.subjectWeights | Print subject weights |
| print.synth_code | Print synthesized code |
| reconstructData | Reconstruct the original dataset |
| riskLevelPlot | Level plots for risk prediction models |
| riskRegression | Risk Regression Fits a regression model for the risk of an... |
| riskRegression.options | Global options for 'riskRegression' |
| riskRegression-package | Risk Regression Models and Prediction Scores for Survival... |
| rowCenter_cpp | Apply - by row |
| rowCumSum | Apply cumsum in each row |
| rowMultiply_cpp | Apply * by row |
| rowPaste | Collapse Rows of Characters. |
| rowScale_cpp | Apply / by row |
| rowSumsCrossprod | Apply crossprod and rowSums |
| sampleData | Simulate data with binary or time-to-event outcome |
| saveCoxConfidential | Save confidential Cox objects |
| saveSynth | Export a 'synth' object. |
| Score | Score risk predictions |
| score.wglm | Score for IPCW Logistic Regressions |
| selectCox | Backward variable selection in the Cox regression model |
| selectJump | Evaluate the influence function at selected times |
| simActiveSurveillance | Simulate data of a hypothetical active surveillance prostate... |
| simMelanoma | Simulate data alike the Melanoma data |
| simPBC | simulating data alike the pbc data |
| simsynth | Simulating from a synthesized object |
| SmcFcs | SmcFcs |
| splitStrataVar | Reconstruct each of the strata variables |
| subjectWeights | Estimation of censoring probabilities at subject specific... |
| subsetIndex | Extract Specific Elements From An Object |
| summary.ate | Summary Average Treatment Effects |
| summary.FGR | Summary of a Fine-Gray regression model |
| summary.riskRegression | Summary of a risk regression model |
| summary.Score | Summary of prediction performance metrics |
| SuperPredictor | Formula interface for SuperLearner::SuperLearner |
| SurvResponseVar | Extract the time and event variable from a Cox model |
| synthesize | Cooking and synthesizing survival data |
| terms.phreg | Extract terms for phreg objects |
| transformCIBP | Compute Confidence Intervals/Bands and P-values After a... |
| vcov.ate | Variance-Covariance Matrix for the Average Treatment Effect. |
| vcov.wglm | Variance-covariance for IPCW Logistic Regressions |
| weights.wglm | Extract IPCW Weights |
| wglm | Logistic Regression Using IPCW |
