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 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-package
survstan
- 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