Function reference • survstan

All functions

AIC(<survstan>): Akaike information criterion

dgompertz() pgompertz() qgompertz() rgompertz(): The Gompertz Distribution

aftreg(): Fitting Accelerated Failure Time Models

ahreg(): Fitting Accelerated Hazard Models

anova(<survstan>): anova method for survstan models

coef(<survstan>): Estimated regression coefficients

confint(<survstan>): Confidence intervals for the regression coefficients

cross_time(<survstan>): Computes the crossing survival times

cross_time(): Generic S3 method cross_time

ehreg(): Fitting Extended Hazard Models

recover_data.survstan() recover_data.ypreg() recover_data.ehreg(): Support Functions for emmeans

estimates(): Parameters estimates of a survstan model

extractAIC(<survstan>): Extract AIC from a Fitted Model

gastric: Gastric cancer data set

dggprentice() pggprentice() qggprentice() rggprentice(): The Generalized Gamma Distribution (Prentice's alternative parametrization)

ggresiduals(): Generic S3 method ggresiduals

ggresiduals(<survstan>): ggresiduals method for survstan models

dggstacy() pggstacy() qggstacy() rggstacy(): The Generalized Gamma Distribution (Stacy's original parametrization)

ipass: IRESSA Pan-Asia Study (IPASS) data set

logLik(<survstan>): Extract Log-Likelihood from a Fitted Model

model.matrix(<survstan>): Model.matrix method for survstan models

phreg(): Fitting Proportional Hazards Models

poreg(): Fitting Proportional Odds Models

print(<summary.survstan>): Print the summary.survstan output

rank_models(): Rank a collection of survstan models

residuals(<survstan>): residuals method for survstan models

se(): Generic S3 method se

se(<survstan>): Estimated standard errors

summary(<survstan>): Summary for a survstan object

survfit(<survstan>): survfit method for survstan models

survstan-package survstan: The 'survstan' package.

tidy(<survstan>): Tidy a survstan object

vcov(<survstan>): Variance-covariance matrix

ypreg(): Fitting Yang and Prentice Models