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SPPcomb  

Combining Different Spatial Datasets in Cancer Risk Estimation
View on CRAN: Click here


Download and install SPPcomb package within the R console
Install from CRAN:
install.packages("SPPcomb")

Install from Github:
library("remotes")
install_github("cran/SPPcomb")

Install by package version:
library("remotes")
install_version("SPPcomb", "0.1")



Attach the package and use:
library("SPPcomb")
Maintained by
Ming Wang
[Scholar Profile | Author Map]
First Published: 2016-12-20
Latest Update: 2016-12-20
Description:
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. SeeHui 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>.
How to cite:
Ming Wang (2016). SPPcomb: Combining Different Spatial Datasets in Cancer Risk Estimation. R package version 0.1, https://cran.r-project.org/web/packages/SPPcomb. Accessed 30 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited SPPcomb R package
View SPPcomb citation profile
Other R packages that SPPcomb depends, imports, suggests or enhances
Complete documentation for SPPcomb
Functions, R codes and Examples using the SPPcomb R package
Some associated functions: DA_AllEE5 . DA_AllEE5_inside . DA_FDN2M1M2 . DA_FDN2M1M2_inside . DA_FDN2M2 . realdata_alpha . realdata_covariates . 
Some associated R codes: DA_AllEE5.R . DA_AllEE5_inside.R . DA_FDN2M1M2.R . DA_FDN2M1M2_inside.R . DA_FDN2M2.R . realdata.R .  Full SPPcomb package functions and examples
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