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:
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')) |
- 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.
Last updated 8 years agofrom:57b471f644. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 11 2024 |
R-4.5-linux | OK | Oct 11 2024 |
Exports:DA_AllEE5DA_AllEE5_insideDA_FDN2M1M2DA_FDN2M1M2_insideDA_FDN2M2
Dependencies:nleqslv
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Data Analysis for Combining (N1,M1) + (N1,M2) + (N2,M1) + (N2,M2) | DA_AllEE5 |
Internal calculation of estimating equation for DA_AllEE5 | DA_AllEE5_inside |
Data Analysis for Combining (N2,M1) + (N2,M2) | DA_FDN2M1M2 |
Internal calculation of estimating equation for DA_FDN2M1M2 | DA_FDN2M1M2_inside |
Data Analysis of (N2,M2) | DA_FDN2M2 |
A list of matrices containing value of alpha at each location. | realdata_alpha |
A data list of matrices containing covariates of cases and controls. | realdata_covariates |