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 |