
Package index
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AIC(<survstan>) - Akaike information criterion
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dgompertz()pgompertz()qgompertz()rgompertz() - The Gompertz Distribution
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aftreg() - Fitting Accelerated Failure Time Models
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ahreg() - Fitting Accelerated Hazard Models
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anova(<survstan>) - anova method for survstan models
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bernstein() - Bernstein polynomial
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coef(<survstan>) - Estimated regression coefficients
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confint(<survstan>) - Confidence intervals for the regression coefficients
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cross_time(<survstan>) - Computes the crossing survival times
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cross_time() - Generic S3 method cross_time
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ehreg() - Fitting Extended Hazard Models
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recover_data.survstan()recover_data.ypreg()recover_data.ehreg() - Support Functions for emmeans
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estimates() - Parameters estimates of a survstan model
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extractAIC(<survstan>) - Extract AIC from a Fitted Model
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gastric - Gastric cancer data set
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dggprentice()pggprentice()qggprentice()rggprentice() - The Generalized Gamma Distribution (Prentice's alternative parametrization)
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ggresiduals() - Generic S3 method ggresiduals
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ggresiduals(<survstan>) - ggresiduals method for survstan models
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dggstacy()pggstacy()qggstacy()rggstacy() - The Generalized Gamma Distribution (Stacy's original parametrization)
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ipass - IRESSA Pan-Asia Study (IPASS) data set
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logLik(<survstan>) - Extract Log-Likelihood from a Fitted Model
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model.matrix(<survstan>) - Model.matrix method for survstan models
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dpexp()ppexp()qpexp()rpexp() - Probability function, distribution function, quantile function and random generation for the Piecewise Exponential (PE) distribution.
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phreg() - Fitting Proportional Hazards Models
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piecewise() - Piecewise exponential baseline
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poreg() - Fitting Proportional Odds Models
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print(<summary.survstan>) - Print the summary.survstan output
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rank_models() - Rank a collection of survstan models
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residuals(<survstan>) - residuals method for survstan models
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se() - Generic S3 method se
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se(<survstan>) - Estimated standard errors
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summary(<survstan>) - Summary for a survstan object
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survfit(<survstan>) - survfit method for survstan models
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survstan-packagesurvstan - The 'survstan' package.
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tidy(<survstan>) - Tidy a survstan object
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time_grid() - Time grid
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vcov(<survstan>) - Variance-covariance matrix
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ypreg() - Fitting Yang and Prentice Models