mold: Mold data for modeling
R: Mold data for modeling
moldR Documentation
Mold data for modeling
R: Mold data for modeling
moldR Documentation
Mold data for modeling
A named list containing 4 elements:
predictors: A tibble containing the molded predictors to be used in the
model
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
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
R: mold data into data.frame
moldR Documentation
mold data into data.frame
R: mold data into data.frame
moldR Documentation
mold data into data.frame
R: mold data into data.frame
moldR Documentation
mold data into data.frame
R: 'mold()' according to a blueprint
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
of Washington.
Usage
data("WA")
Value
An object of class "wa", a list with the following components:
wa.optima
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
github::dbca-wa/leaflet.circlesector@main,
github::dbca-wa/ruODK@main
Encoding: UTF-8
Package: list
Version: 9.2.6
Title: Statistical Methods for the Item Count Technique and List
R: List
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
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