Package: SPPcomb 0.1

Ming Wang

SPPcomb: Combining Different Spatial Datasets in Cancer Risk Estimation

We propose a novel two-step procedure to combine epidemiological data obtained from diverse sources with the aim to quantify risk factors affecting the probability that an individual develops certain disease such as cancer. See Hui Huang, Xiaomei Ma, Rasmus Waagepetersen, Theodore R. Holford, Rong Wang, Harvey Risch, Lloyd Mueller & Yongtao Guan (2014) A New Estimation Approach for Combining Epidemiological Data From Multiple Sources, Journal of the American Statistical Association, 109:505, 11-23, <doi:10.1080/01621459.2013.870904>.

Authors:Ming Wang, Yongtao Guan, Kun Xu

SPPcomb_0.1.tar.gz
SPPcomb_0.1.tar.gz(r-4.5-noble)SPPcomb_0.1.tar.gz(r-4.4-noble)
SPPcomb_0.1.tgz(r-4.4-emscripten)SPPcomb_0.1.tgz(r-4.3-emscripten)
SPPcomb.pdf |SPPcomb.html
SPPcomb/json (API)

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

Peer review:

Datasets:
  • realdata_alpha - A list of matrices containing value of alpha at each location.
  • realdata_covariates - A data list of matrices containing covariates of cases and controls.

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

1.00 score 5 scripts 130 downloads 5 exports 1 dependencies

Last updated 8 years agofrom:57b471f644. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 11 2024
R-4.5-linuxOKOct 11 2024

Exports:DA_AllEE5DA_AllEE5_insideDA_FDN2M1M2DA_FDN2M1M2_insideDA_FDN2M2

Dependencies:nleqslv