WA: Weighted averaging (WA) regression and calibration
^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted
^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted
^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
caterpillarPlot(mod, type = "model") ## with tolerances used in WA model
## plot diagnostics for the WA model
par(mfrow = c(1,2
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
R: extract the format string
getFormat_method__BoundFcR Documentation
extract
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
>.",
contentType = "html")
typed(c("First sentence.", "Second sentence"), typeSpeed = 2)
R: type
typeR Documentation
type
>.",
contentType = "html")
typed(c("First sentence.", "Second sentence"), typeSpeed = 2)
R: Type
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: types
typesR Documentation
types
R: Type
TypeR Documentation
Type
R: types
typesR Documentation
types
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