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  "Title": "Bernstein Polynomial Based Semiparametric Survival Analysis",
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  "Authors@R": "c(person(given = \"Renato\",\nfamily = \"Panaro\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"rvpanaro@gmail.com\",\ncomment = c(ORCID = \"0000-0002-1903-2091\", URL = \"https://rvpanaro.github.io/\")),\nperson(given = \"Fábio\",\nfamily = \"Demarqui\",\nrole = c(\"ths\", \"rev\"),\nemail = \"fndemarqui@gmail.com\",\ncomment = c(ORCID = \"0000-0001-9236-1986\", URL = \"http://www.est.ufmg.br/~fndemarqui/\")),\nperson(given = \"Vinicius\",\nfamily = \"Mayrink\",\nrole = c(\"ths\"),\nemail = \"vdinizm@gmail.com\",\ncomment = c(ORCID = \"0000-0002-5683-8326\", URL = \"http://www.est.ufmg.br/~vdinizm/\")))",
  "Description": "Semiparametric survival analysis based on Bernstein\npolynomials. 'spsurv' includes proportional hazards,\nproportional odds and accelerated failure time frameworks for\nright-censored data. RV Panaro (2020)\n<doi:10.48550/arXiv.2003.10548>.",
  "License": "GPL-3",
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  "BugReports": "https://github.com/rvpanaro/spsurv/issues",
  "URL": "https://github.com/rvpanaro/spsurv,\nhttps://rvpanaro.github.io/spsurv/",
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  "Repository": "https://rvpanaro.r-universe.dev",
  "Date/Publication": "2026-10-04 19:57:36 UTC",
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  "Packaged": {
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  "Author": "Renato Panaro [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-1903-2091>, URL:\nhttps://rvpanaro.github.io/),\nFábio Demarqui [ths, rev] (ORCID:\n<https://orcid.org/0000-0001-9236-1986>, URL:\nhttp://www.est.ufmg.br/~fndemarqui/),\nVinicius Mayrink [ths] (ORCID: <https://orcid.org/0000-0002-5683-8326>,\nURL: http://www.est.ufmg.br/~vdinizm/)",
  "Maintainer": "Renato Panaro <rvpanaro@gmail.com>",
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  "_created": "2026-10-11T11:48:03.000Z",
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    "message": "Stop tracking the manuscript and drop the bundled GPL copy.\n\nIgnore paper/ so the repository stays the package, and declare License: GPL-3 without a copied LICENSE file.\n",
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    "bpaft",
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    "bppo",
    "credint",
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    "ggresiduals",
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    "pw.basis",
    "rank_models",
    "se",
    "spbp",
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    "spsurv_fit_proportional_hazards",
    "spsurv_fit_proportional_odds",
    "spsurv_fit_survival_reg",
    "spsurv_pred_linear_pred",
    "spsurv_pred_survival",
    "spsurv_pred_time"
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      "page": "spsurv-package",
      "title": "The 'spsurv' package.",
      "topics": [
        "spsurv-package",
        "spsurv"
      ]
    },
    {
      "page": "AIC.spbp",
      "title": "Akaike information criterion for fitted spbp models",
      "topics": [
        "AIC.spbp"
      ]
    },
    {
      "page": "anova.spbp",
      "title": "Analysis of deviance table for nested spbp models",
      "topics": [
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      ]
    },
    {
      "page": "as_draws_df.spbp",
      "title": "Convert spbp Bayesian fit to posterior draws",
      "topics": [
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    },
    {
      "page": "augment.spbp",
      "title": "Augment data with spbp model information",
      "topics": [
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      ]
    },
    {
      "page": "bernstein",
      "title": "Bernstein polynomial baseline specification",
      "topics": [
        "bernstein"
      ]
    },
    {
      "page": "bp_survival_reg",
      "title": "Bernstein survival regression specification",
      "topics": [
        "bp_survival_reg"
      ]
    },
    {
      "page": "bp.basis",
      "title": "Bernstein basis polynomials calculations",
      "topics": [
        "bp.basis"
      ]
    },
    {
      "page": "bpaft",
      "title": "Bernstein AFT Model",
      "topics": [
        "bpaft"
      ]
    },
    {
      "page": "bpph",
      "title": "Bernstein PH Model",
      "topics": [
        "bpph"
      ]
    },
    {
      "page": "bppo",
      "title": "Bernstein PO Model",
      "topics": [
        "bppo"
      ]
    },
    {
      "page": "coef.spbp",
      "title": "Estimated regression coefficients",
      "topics": [
        "coef.spbp"
      ]
    },
    {
      "page": "confint.spbp",
      "title": "Confidence intervals for the regression coefficients",
      "topics": [
        "confint.spbp"
      ]
    },
    {
      "page": "credint",
      "title": "Generic S3 method credint",
      "topics": [
        "credint"
      ]
    },
    {
      "page": "credint.spbp",
      "title": "Credible intervals for the regression coefficients",
      "topics": [
        "credint.spbp"
      ]
    },
    {
      "page": "estimates",
      "title": "Parameter estimates for fitted spbp models",
      "topics": [
        "estimates"
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    },
    {
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      "title": "Extract AIC from a fitted spbp model",
      "topics": [
        "extractAIC.spbp"
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    },
    {
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      "title": "ggplot2 residual diagnostic plots for spbp models",
      "topics": [
        "ggresiduals"
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    },
    {
      "page": "glance.spbp",
      "title": "Glance at a fitted spbp model",
      "topics": [
        "glance.spbp"
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    },
    {
      "page": "logLik.spbp",
      "title": "Log-likelihood for fitted spbp models",
      "topics": [
        "logLik.spbp"
      ]
    },
    {
      "page": "model.matrix.spbp",
      "title": "Model.matrix method for fitted spbp models",
      "topics": [
        "model.matrix.spbp"
      ]
    },
    {
      "page": "plot.spbp",
      "title": "BP based models plot.",
      "topics": [
        "plot.spbp"
      ]
    },
    {
      "page": "predict.spbp",
      "title": "Predicted survival as a tidy data frame",
      "topics": [
        "predict.spbp"
      ]
    },
    {
      "page": "print.spbp",
      "title": "Bernstein Polynomial Based Regression Object Print",
      "topics": [
        "print.spbp"
      ]
    },
    {
      "page": "print.summary.bpaft.bayes",
      "title": "Bernstein Polynomial Based Regression Object Summary BPAFT Bayes",
      "topics": [
        "print.summary.bpaft.bayes"
      ]
    },
    {
      "page": "print.summary.bpaft.mle",
      "title": "Bernstein Polynomial Based Regression Object Summary BPAFT MLE",
      "topics": [
        "print.summary.bpaft.mle"
      ]
    },
    {
      "page": "print.summary.bpph.bayes",
      "title": "Bernstein Polynomial Based Regression Object Summary BPPH Bayes",
      "topics": [
        "print.summary.bpph.bayes"
      ]
    },
    {
      "page": "print.summary.bpph.mle",
      "title": "Bernstein Polynomial Based Regression Object Summary BPPH MLE",
      "topics": [
        "print.summary.bpph.mle"
      ]
    },
    {
      "page": "print.summary.bppo.bayes",
      "title": "Bernstein Polynomial Based Regression Object Summary BPPO Bayes",
      "topics": [
        "print.summary.bppo.bayes"
      ]
    },
    {
      "page": "print.summary.bppo.mle",
      "title": "Bernstein Polynomial Based Regression Object BPPO MLE",
      "topics": [
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    {
      "page": "print.summary.spbp.bayes",
      "title": "Bernstein Polynomial Based Regression Object Summary Bayes",
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      "page": "print.summary.spbp.mle",
      "title": "Bernstein Polynomial Based Regression Object Summary MLE",
      "topics": [
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    },
    {
      "page": "proportional_odds",
      "title": "Proportional odds regression model specification",
      "topics": [
        "proportional_odds"
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    },
    {
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      "title": "Power basis polynomials calculations",
      "topics": [
        "pw.basis"
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    },
    {
      "page": "rank_models",
      "title": "Rank fitted spbp models by AIC",
      "topics": [
        "rank_models"
      ]
    },
    {
      "page": "residuals.spbp",
      "title": "BP based models residuals.",
      "topics": [
        "residuals.spbp"
      ]
    },
    {
      "page": "se",
      "title": "Standard errors for fitted spbp model parameters",
      "topics": [
        "se"
      ]
    },
    {
      "page": "spbp",
      "title": "spbp: The BP Based Survival Analysis Function",
      "topics": [
        "spbp"
      ]
    },
    {
      "page": "spbp.default",
      "title": "spbp: The BP Based Semiparametric Survival Analysis Function",
      "topics": [
        "spbp.default"
      ]
    },
    {
      "page": "spread_surv_draws.spbp",
      "title": "Posterior survival curves in long tidy format",
      "topics": [
        "spread_surv_draws.spbp"
      ]
    },
    {
      "page": "summary.spbp",
      "title": "Bernstein Polynomial Based Regression Object Summary",
      "topics": [
        "summary.spbp"
      ]
    },
    {
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      "title": "BP-based model survival curves",
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        "as.data.frame.survfitbp",
        "plot.survfitbp",
        "survfit.spbp"
      ]
    },
    {
      "page": "tidy.spbp",
      "title": "Tidy summary for fitted spbp models",
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        "tidy.spbp"
      ]
    },
    {
      "page": "vcov.spbp",
      "title": "Covariance of the regression coefficients",
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        "vcov.spbp"
      ]
    }
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