Package: spsurv
Type: Package
Title: Bernstein Polynomial Based Semiparametric Survival Analysis
Version: 1.0.0
Authors@R: 
    c(person(given = "Renato",
           family = "Panaro",
           role = c("aut", "cre"),
           email = "renatovp@ime.usp.br",
           comment = c(ORCID = "0000-0002-1903-2091", URL= "https://rvpanaro.github.io/")),
	person(given = "Fábio",
           family = "Demarqui",
           role = "aut",
           email = "fndemarqui@gmail.com",
           comment = c(ORCID = "0000-0001-9236-1986")),
	person(given = "Vinícius",
           family = "Mayrink",
           role = "aut",
           email = "vdinizm@gmail.com",
           comment = c(ORCID = "0000-0002-5683-8326")))
Maintainer: Renato Panaro <renatovp@ime.usp.br>
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) <arXiv:2003.10548>.
License: GPL-3
Biarch: true
Depends: R (>= 3.5.0), survival (>= 2.44-1.1), loo (>= 2.1.0), coda (>=
        0.19-3), MASS (>= 7.3-51.4)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>=
        1.5.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        rstan (>= 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] (<https://orcid.org/0000-0002-1903-2091>,
    https://rvpanaro.github.io/),
  Fábio Demarqui [aut] (<https://orcid.org/0000-0001-9236-1986>),
  Vinícius Mayrink [aut] (<https://orcid.org/0000-0002-5683-8326>)
Repository: CRAN
Date/Publication: 2020-03-31 10:00:02 UTC
Built: R 3.6.2; x86_64-apple-darwin15.6.0; 2020-04-01 12:40:12 UTC; unix
Archs: spsurv.so.dSYM
