| spsurv-package | The 'spsurv' package. |
| AIC.spbp | Akaike information criterion for fitted spbp models |
| anova.spbp | Analysis of deviance table for nested spbp models |
| as.data.frame.survfitbp | BP-based model survival curves |
| as_draws_df.spbp | Convert spbp Bayesian fit to posterior draws |
| augment.spbp | Augment data with spbp model information |
| bernstein | Bernstein polynomial baseline specification |
| bp.basis | Bernstein basis polynomials calculations |
| bpaft | Bernstein AFT Model |
| bpph | Bernstein PH Model |
| bppo | Bernstein PO Model |
| bp_survival_reg | Bernstein survival regression specification |
| coef.spbp | Estimated regression coefficients |
| confint.spbp | Confidence intervals for the regression coefficients |
| credint | Generic S3 method credint |
| credint.spbp | Credible intervals for the regression coefficients |
| estimates | Parameter estimates for fitted spbp models |
| extractAIC.spbp | Extract AIC from a fitted spbp model |
| ggresiduals | ggplot2 residual diagnostic plots for spbp models |
| glance.spbp | Glance at a fitted spbp model |
| logLik.spbp | Log-likelihood for fitted spbp models |
| model.matrix.spbp | Model.matrix method for fitted spbp models |
| plot.spbp | BP based models plot. |
| plot.survfitbp | BP-based model survival curves |
| predict.spbp | Predicted survival as a tidy data frame |
| print.spbp | Bernstein Polynomial Based Regression Object Print |
| print.summary.bpaft.bayes | Bernstein Polynomial Based Regression Object Summary BPAFT Bayes |
| print.summary.bpaft.mle | Bernstein Polynomial Based Regression Object Summary BPAFT MLE |
| print.summary.bpph.bayes | Bernstein Polynomial Based Regression Object Summary BPPH Bayes |
| print.summary.bpph.mle | Bernstein Polynomial Based Regression Object Summary BPPH MLE |
| print.summary.bppo.bayes | Bernstein Polynomial Based Regression Object Summary BPPO Bayes |
| print.summary.bppo.mle | Bernstein Polynomial Based Regression Object BPPO MLE |
| print.summary.spbp.bayes | Bernstein Polynomial Based Regression Object Summary Bayes |
| print.summary.spbp.mle | Bernstein Polynomial Based Regression Object Summary MLE |
| proportional_odds | Proportional odds regression model specification |
| pw.basis | Power basis polynomials calculations |
| rank_models | Rank fitted spbp models by AIC |
| residuals.spbp | BP based models residuals. |
| se | Standard errors for fitted spbp model parameters |
| spbp | spbp: The BP Based Survival Analysis Function |
| spbp.default | spbp: The BP Based Semiparametric Survival Analysis Function |
| spread_surv_draws.spbp | Posterior survival curves in long tidy format |
| spsurv | The 'spsurv' package. |
| summary.spbp | Bernstein Polynomial Based Regression Object Summary |
| survfit.spbp | BP-based model survival curves |
| tidy.spbp | Tidy summary for fitted spbp models |
| vcov.spbp | Covariance of the regression coefficients |