Package: kin.cohort 0.7

kin.cohort: Analysis of Kin-Cohort Studies

Analysis of kin-cohort studies. kin.cohort provides estimates of age-specific cumulative risk of a disease for carriers and noncarriers of a mutation. The cohorts are retrospectively built from relatives of probands for whom the genotype is known. Currently the method of moments and marginal maximum likelihood are implemented. Confidence intervals are calculated from bootstrap samples. Most of the code is a translation from previous 'MATLAB' code by N. Chatterjee.

Authors:Victor Moreno, Nilanjan Chatterjee, Bhramar Mukherjee

kin.cohort_0.7.tar.gz
kin.cohort_0.7.zip(r-4.5)kin.cohort_0.7.zip(r-4.4)kin.cohort_0.7.zip(r-4.3)
kin.cohort_0.7.tgz(r-4.4-any)kin.cohort_0.7.tgz(r-4.3-any)
kin.cohort_0.7.tar.gz(r-4.5-noble)kin.cohort_0.7.tar.gz(r-4.4-noble)
kin.cohort_0.7.tgz(r-4.4-emscripten)kin.cohort_0.7.tgz(r-4.3-emscripten)
kin.cohort.pdf |kin.cohort.html
kin.cohort/json (API)

# Install 'kin.cohort' in R:
install.packages('kin.cohort', repos = c('https://victor-moreno.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • kin.data - Sample data for kin-cohort analysis

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5 exports 0.00 score 3 dependencies 5 scripts 173 downloads

Last updated 9 years agofrom:f3d358b5a6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winOKSep 15 2024
R-4.5-linuxOKSep 15 2024
R-4.4-winOKSep 15 2024
R-4.4-macOKSep 15 2024
R-4.3-winOKSep 15 2024
R-4.3-macOKSep 15 2024

Exports:kc.marginalkc.momentskc.simulkin.cohortsample.caco

Dependencies:latticeMatrixsurvival