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
R: A GRanges object of differentially methylated MspI cut sites...
cutsR Documentation
A GRanges object
R: A GRanges object of differentially methylated MspI cut sites...
cutsR Documentation
A GRanges object
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
of Washington.
Usage
data("WA")
and classicial
deshrinking are supported.
Usage
of Washington.
Usage
data("WA")
solution
Description
Extracts the weighted averages of a CCA solution
of Washington.
Usage
data("WA")
, 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
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
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