Package: penetrance
Type: Package
Title: Methods for Penetrance Estimation in Family-Based Studies
Version: 0.1.3
Depends: R (>= 3.5.0)
Imports: clipp, stats, parallel, MASS, kinship2 (>= 1.8.5), graphics,
        grDevices
Authors@R: c(
    person("Sol", "Rosito", email = "bmendel@jimmy.harvard.edu", role = "cre"),
    person("Nicolas", "Kubista", role = "aut"),
    person("BayesMendel", "Lab", role = "aut"),
    person("Giovanni", "Parmigiani", role = "aut"),
    person("Danielle", "Braun", role = "aut"),
    person("Alice", "Zhang", role = "aut"))
Description: Implements statistical methods for estimating disease penetrance in 
    family-based studies. Penetrance refers to the probability of disease
    manifestation in individuals carrying specific genetic variants. The package 
    provides tools for age-specific penetrance estimation, handling missing data, 
    and accounting for ascertainment bias in family studies.
    Cite as: Kubista, N., Braun, D. & Parmigiani, G. (2024) <d 10.1093/bioadv/vbaf154>.
License: GPL-3
URL: https://github.com/bayesmendel/penetrance
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, scales, ggplot2, roxygen2, testthat (>=
        3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-05-15 22:31:05 UTC; msrosito
Author: Sol Rosito [cre],
  Nicolas Kubista [aut],
  BayesMendel Lab [aut],
  Giovanni Parmigiani [aut],
  Danielle Braun [aut],
  Alice Zhang [aut]
Maintainer: Sol Rosito <bmendel@jimmy.harvard.edu>
Repository: CRAN
Date/Publication: 2026-05-15 23:40:02 UTC
Built: R 4.6.0; ; 2026-06-04 02:49:02 UTC; windows
