WA: Weighted averaging (WA) regression and calibration
lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,
lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,
lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,
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
R: 100 distinct colors
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: 100 distinct colors
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
R: Normalized Peak Shapes with 100 Observations
peaks.df.norm.100R Documentation
Normalized Peak Shapes with 100
R: Normalized Peak Shapes with 100 Observations
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: ~~ Methods for Function 'getAccumulatedRelease' ~~
getAccumulatedRelease
R: GEBCO 100 m isobath in the N-Atlantic.
gbdypi.100R Documentation
GEBCO 100 m isobath in the N-Atlantic
-wa/etlTurtleNesting
BugReports: https://github.com/dbca-wa/etlTurtleNesting/issues
License: MIT + file LICENSE
, https://github.com/dbca-wa/rOzCBI, https://dbca-wa.github.io/rOzCBI/
BugReports: https://github.com/dbca-wa/rOzCBI
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