WA: Weighted averaging (WA) regression and calibration
CRAN
rioja: Analysis of Quaternary Science Data
to be modelled or an object of class WA.
newdata
new biological data to be predicted.
to be modelled or an object of class WA.
newdata
new biological data to be predicted.
to be modelled or an object of class WA.
newdata
new biological data to be predicted.
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
,..., model = FALSE)
## S3 method for class 'wa'
fitted(object, ...)
of Washington.
Usage
data("WA")
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)
R: Specify a Design and Model
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
R: Design Generator for Three Models
designR Documentation
Design Generator for Three Models
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
R: design
designR Documentation
design
R: Design
designR Documentation
Design
R: design
designR Documentation
design
R: design
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Design
designR Documentation
Design
representing a GLMM and study design
For the generalised linear mixed model
Y \sim F(μ,σ)
R: designer: Design tools for R users.
designerR Documentation
designer: Design tools for R users.
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