| Name : R-mcc
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 10:58:56
|
| Group : Development/Libraries/Other
| Source RPM : R-mcc-1.0-lp153.2.13.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
| |
| Summary : Moment Corrected Correlation
|
Description :
A number of biomedical problems involve performing many hypothesis
tests, with an attendant need to apply stringent thresholds. Often the
data take the form of a series of predictor vectors, each of which must
be compared with a single response vector, perhaps with nuisance
covariates. Parametric tests of association are often used, but can
result in inaccurate type I error at the extreme thresholds, even for
large sample sizes. Furthermore, standard two-sided testing can reduce
power compared to the doubled p-value, due to asymmetry in the null
distribution. Exact (permutation) testing approaches are attractive,
but can be computationally intensive and cumbersome. MCC is an
approximation to exact association testing of two vectors that is
accurate and fast enough for standard use in high-throughput settings,
and can easily provide standard two-sided or doubled p-values.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
