WA: Weighted averaging (WA) regression and calibration
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: cut
cutR Documentation
cut
R: Cut
CutR Documentation
Cut
R: cutting data
cuttingR Documentation
cutting data
R: cut function
cutR Documentation
cut function
R: cut function
cutR Documentation
cut function
R: Cut numeric vector into factor vector
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Wrapper to the cut() function
cutsR Documentation
Wrapper to the cut() function
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
R: A GRanges object of differentially methylated MspI cut sites...
cutsR Documentation
A GRanges object
R: Effect of type and size of cutting on willow yield
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: A GRanges object of differentially methylated MspI cut sites...
cutsR Documentation
A GRanges object
of Washington.
Usage
data("WA")
and classicial
deshrinking are supported.
Usage
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
solution
Description
Extracts the weighted averages of a CCA solution
, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
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