| ADET |
Event-Time dataset for kidney outcomes. |
| ADLB |
Laboratory dataset for Glomerular Filtration Rate (GFR) measurements. |
| ADSL |
Baseline characteristics dataset of patients with kidney function assessments. |
| as_hce |
A generic function for coercing data structures to 'hce' objects |
| as_hce.data.frame |
Coerce a data frame to an 'hce' object |
| as_hce.default |
Coerce a data frame to an 'hce' object |
| calcWINS |
A generic function for calculating win statistics |
| calcWINS.data.frame |
Win statistics calculation using a data frame |
| calcWINS.formula |
Win statistics calculation using formula syntax |
| calcWINS.hce |
Win statistics calculation for 'hce' objects |
| calcWO |
A generic function for calculating win odds |
| calcWO.data.frame |
Win odds calculation using a data frame |
| calcWO.formula |
Win odds calculation using formula syntax |
| calcWO.hce |
Win odds calculation for 'hce' objects |
| COVID19 |
COVID-19 ordinal scale dataset (full report). |
| COVID19b |
COVID-19 ordinal scale dataset (preliminary report). |
| COVID19plus |
COVID-19 ordinal scale dataset for a combination therapy. |
| hce |
Helper function for 'hce' objects |
| HCE1 |
'HCE1', 'HCE2', 'HCE3', 'HCE4' datasets for 1000 patients with different treatment effects. |
| HCE2 |
'HCE1', 'HCE2', 'HCE3', 'HCE4' datasets for 1000 patients with different treatment effects. |
| HCE3 |
'HCE1', 'HCE2', 'HCE3', 'HCE4' datasets for 1000 patients with different treatment effects. |
| HCE4 |
'HCE1', 'HCE2', 'HCE3', 'HCE4' datasets for 1000 patients with different treatment effects. |
| IWP |
Calculates patient-level individual win proportions |
| KHCE |
Kidney Hierarchical Composite Endpoint dataset. |
| minWO |
Minimum detectable or WO for alternative hypothesis for given power (no ties) |
| plot.hce |
A plot method for 'hce' objects |
| plot.hce_results |
A print method for 'hce_results ' objects |
| powerWO |
Power calculation for the win odds test (no ties) |
| print.hce_results |
A print method for 'hce_results' objects |
| propWINS |
Proportion of wins/losses/ties given the win odds and the win ratio |
| regWO |
A generic function for win odds regression |
| regWO.data.frame |
Win Odds Regression Using a Data Frame |
| regWO.formula |
Win Odds Regression Using a Formula Syntax |
| simADHCE |
Simulate 'adhce' object with given event rates of time-to-event outcomes (Weibull), mean and SD of the continuous outcome (normal or log-normal) by treatment group |
| simHCE |
Simulate 'hce' object with given event rates of time-to-event outcomes (Weibull), mean and SD of the continuous outcome (normal or log-normal) by treatment group |
| simORD |
Simulate ordinal variables for two treatment groups using categorization of beta distributions |
| sizeWO |
Sample size calculation for the win odds test (no ties) |
| sizeWR |
Sample size calculation for the win ratio test (with WR = 1 null hypothesis) |
| stratWO |
A generic function for stratified win odds with adjustment |
| stratWO.data.frame |
Stratified win odds with adjustment |
| summaryWO |
A generic function for summarizing win odds |
| summaryWO.data.frame |
Win odds summary for a data frame |
| summaryWO.formula |
Win odds summary using formula syntax |
| summaryWO.hce |
Win odds summary for 'hce' objects |
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