| new.valorate | CREATE A VALORATE OBJECT |
| prepare.n1 | ESTIMATES THE LOG-RANK DISTRIBUTION AND STORE IT WITHIN A VALORATE OBJECT |
| valorate | CREATE A VALORATE OBJECT |
| valorate.p.value | ESTIMATES THE P-VALUE OF THE LOG-RANK TEST |
| valorate.p.value.all | ESTIMATES THE P-VALUE OF THE LOG-RANK TEST |
| valorate.p.value.beta | ESTIMATES THE P-VALUE OF THE LOG-RANK TEST |
| valorate.p.value.chisq | ESTIMATES THE P-VALUE OF THE LOG-RANK TEST |
| valorate.p.value.gaussian | ESTIMATES THE P-VALUE OF THE LOG-RANK TEST |
| valorate.p.value.normal | ESTIMATES THE P-VALUE OF THE LOG-RANK TEST |
| valorate.p.value.sampling | ESTIMATES THE P-VALUE OF THE LOG-RANK TEST |
| valorate.p.value.weibull | ESTIMATES THE P-VALUE OF THE LOG-RANK TEST |
| valorate.plot.empirical | PLOT THE SAMPLED (EMPIRICAL) LOG-RANK DISTRIBUTION |
| valorate.plot.kaplan | PLOT KAPLAN-MEIER CURVES |
| valorate.plot.sampling.densities | PLOT CO-OCCURRENCE DENSITIES FORMING A LOG-RANK DISTRIBUTION |
| valorate.plot.sampling.densities.figure | PLOT CO-OCCURRENCE DENSITIES FORMING A LOG-RANK DISTRIBUTION |
| valorate.plot.subpop. | PLOT ALL ESTIMATED LOG-RANK DISTRIBUTIONS |
| valorate.plot.subpop.empirical | PLOT ALL ESTIMATED LOG-RANK DISTRIBUTIONS |
| valorate.plot.subpop.empirical.scaled | PLOT ALL ESTIMATED LOG-RANK DISTRIBUTIONS |
| valorate.plot.subpop.empirical.to.0 | PLOT ALL ESTIMATED LOG-RANK DISTRIBUTIONS |
| valorate.risk | ESTIMATES RISK |
| valorate.survdiff | ESTIMATES THE P-VALUE AND STATISTICS OF THE LOG-RANK TEST |