Efficient Jonckheere-Terpstra Test Statistics

The core of this 'Rcpp' based package is a function to compute standardized Jonckheere-Terpstra test statistics for large numbers of dependent and independent variables, e.g., genome-wide analysis. It implements 'OpenMP', allowing the option of computing on multiple threads. Supporting functions are also provided to calculate p-values and summarize results.


News

jtGWAS v1.5.1 (Release date: 2017-02-20)

  • Fix a font error on texlive 2017 for vignettes file

jtGWAS v1.5 (Release date: 2017-02-20)

  • Fix a bug that generate NOTE at R 3.4

jtGWAS v1.4 (Release date: 2016-07-07)

  • Fix an error when the input G matrix has NAs, and other bug fixes.

jtGWAS v1.3 (Release date: 2016-06-15)

  • Fix a bug that cause error for OpenMP in solaris system.

jtGWAS v1.2 (Release date: 2016-06-14)

  • Fix a bug the cause stack overflow error in jtGWASmp.cpp and jtGWAS.cpp files.

jtGWAS v1.1 (Release date: 2016-06-10)

  • Fix bug to prevent using omp.h header when OpenMP is not available.
  • Fix bug in JTscore.h to prevent warnings of "'JTSCORE_H' is used as a header guard here, followed by #define of a different macro" when using clang++.

Reference manual

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install.packages("jtGWAS")

1.5.1 by Jiaxing Lin, a year ago


https://bitbucket.org/impactp01/jtgwas


Browse source code at https://github.com/cran/jtGWAS


Authors: Jiaxing Lin , Alexander Sibley , Ivo Shterev , and Kouros Owzar


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp

Suggests knitr

Linking to Rcpp


See at CRAN