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fastcmh  

Significant Interval Discovery with Categorical Covariates
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fastcmh", "0.2.7")



Attach the package and use:
library("fastcmh")
Maintained by
Dean Bodenham
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-17
Latest Update: 2016-09-13
Description:
A method which uses the Cochran-Mantel-Haenszel test with significant pattern mining to detect intervals in binary genotype data which are significantly associated with a particular phenotype, while accounting for categorical covariates.
How to cite:
Dean Bodenham (2016). fastcmh: Significant Interval Discovery with Categorical Covariates. R package version 0.2.7, https://cran.r-project.org/web/packages/fastcmh. Accessed 06 Jan. 2025.
Previous versions and publish date:
0.1.9 (2016-08-17 01:05), 0.2.4 (2016-09-05 17:26), 0.2.5 (2016-09-07 23:19)
Other packages that cited fastcmh R package
View fastcmh citation profile
Other R packages that fastcmh depends, imports, suggests or enhances
Complete documentation for fastcmh
Functions, R codes and Examples using the fastcmh R package
Some associated functions: demofastcmh . makefastcmhdata . runfastcmh . 
Some associated R codes: RcppExports.R . demofastcmh.R . fastcmh.R . makefastcmhdata.R .  Full fastcmh package functions and examples
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