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: A data frame of modern and contemporary historical and...
const macros = { "\\R": "\\textsf{R}", "\\code
Package: ALA
Type: Package
Title: Data sets and examples for the book "Applied Longitudinal
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
in an experimental setting
Description
The Modern data were gathered in an experimental setting in which manure level
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
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
R: Data sets and examples for the book "Applied Longitudinal...
ALA-packageR Documentation
Data sets and examples
Package: modern
Title: Model-free outlier detection for robust network inference
Version: 0.0.0.9000
Package: modern
Title: Model-free outlier detection for robust network inference
Version: 0.0.0.9000
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