{"Package":"spsurv","Type":"Package","Title":"Bernstein Polynomial Based Semiparametric Survival Analysis","Version":"1.0.0","Authors@R":"\nc(person(given = \"Renato\",\nfamily = \"Panaro\",\nrole = c(\"aut\", \"cre\"),\nemail = \"renatovp@ime.usp.br\",\ncomment = c(ORCID = \"0000-0002-1903-2091\", URL= \"https://rvpanaro.github.io/\")),\nperson(given = \"Fbio\",\nfamily = \"Demarqui\",\nrole = \"aut\",\nemail = \"fndemarqui@gmail.com\",\ncomment = c(ORCID = \"0000-0001-9236-1986\")),\nperson(given = \"Vincius\",\nfamily = \"Mayrink\",\nrole = \"aut\",\nemail = \"vdinizm@gmail.com\",\ncomment = c(ORCID = \"0000-0002-5683-8326\")))","Maintainer":"Renato Panaro ","Description":"A set of reliable routines to ease semiparametric survival regression modeling based on Bernstein polynomials. 'spsurv' includes proportional hazards, proportional odds and accelerated failure time frameworks for right-censored data. RV Panaro (2020) .","License":"GPL-3","Biarch":"true","Depends":"R (>= 3.5.0), survival (>= 2.44-1.1), loo (>= 2.1.0), coda (>=\n0.19-3), MASS (>= 7.3-51.4)","Imports":"methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>=\n1.5.1)","LinkingTo":"BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),\nrstan (>= 2.18.1), StanHeaders (>= 2.18.0)","Suggests":"knitr, devtools, roxygen2, testthat, KMsurv","Encoding":"UTF-8","LazyData":"true","SystemRequirements":"GNU make","BugReports":"https://github.com/rvpanaro/spsurv/issues","VignetteBuilder":"knitr","RoxygenNote":"7.0.2","NeedsCompilation":"yes","Packaged":"2020-03-30 19:45:20 UTC; renato","Author":"Renato Panaro [aut, cre] (,\nhttps://rvpanaro.github.io/),\nFbio Demarqui [aut] (),\nVincius Mayrink [aut] ()","Repository":"CRAN","Date/Publication":"2020-03-31 10:00:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/spsurv_1.0.0.tar.gz","jsonAuthors":[{"name":"Renato Panaro","email":"renatovp@ime.usp.br","maintainer":true},{"name":"Fbio Demarqui","email":"fndemarqui@gmail.com","maintainer":false},{"name":"Vincius Mayrink","email":"vdinizm@gmail.com","maintainer":false}],"readme":"# spsurv\nAn R package for semi-parametric survival analysis.\n\nThe *spsurv* package was designed to contribute with a flexible set of semi-parametric survival regression modelings, including proportional hazards (PH), proportional odds (PO), and accelerated failure time (AFT) models for right-censored data.\n\n- Install and load the *spsurv* package using the devtools package.\n\n```r\ninstall.packages(\"devtools\")\n\nlibrary(devtools)\ninstall_github(\"rvpanaro/spsurv\")\n```\n- Check out the main fitter function examples.\n\n```r\nlibrary(\"KMsurv\")\ndata(\"larynx\")\n\nlibrary(spsurv)\n\n## Maximum Likelihood\nfit <- spbp(Surv(time, delta)~age+factor(stage),\n approach = \"mle\", data = larynx)\nsummary(fit) \n\n## NUTS sampling (Bayesian)\nfit2 <- spbp(Surv(time, delta)~age+factor(stage),\n approach = \"bayes\", data = larynx,\n iter = 2000, chains = 1, warmup = 1000)\nsummary(fit2)\n```\n\nThe *spsurv* already provides:\n- Integration with Stan software.\n- Estimates either in Bayesian or Frequentist (point estimate) inferential approaches.\n- Three survival regression classes: PH, PO and AFT.\n- Six distinct prior specifications in a Bayesian analysis.","jobInfo":{"package":"spsurv","version":"1.0.0","parsingStatus":"success","parserVersion":1,"parsedAt":"2020-03-31T12:30:46+0000"}}

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