| Name : R-simpleFDR
| |
| Version : 1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.9.2
| Date : 2024-06-14 12:02:06
|
| Group : Development/Libraries/Other
| Source RPM : R-simpleFDR-1.1-lp153.9.2.src.rpm
|
| Size : 0.01 MB
| |
| Packager : (none)
| |
| Summary : Simple False Discovery Rate Calculation
|
Description :
Using the adjustment method from Benjamini & Hochberg (1995)
< doi:10.1111/j.2517-6161.1995.tb02031.x>, this package determines which
variables are significant under repeated testing with a given dataframe
of p values and an user defined \"q\" threshold. It then returns the
original dataframe along with a significance column where an asterisk
denotes a significant p value after FDR calculation, and NA denotes all
other p values. This package uses the Benjamini & Hochberg method
specifically as described in Lee, S., & Lee, D. K. (2018)
< doi:10.4097/kja.d.18.00242>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
