WA: Weighted averaging (WA) regression and calibration
, full=FALSE, ...)
## S3 method for class 'WA'
plot(x, resid=FALSE, xval=FALSE, tolDW=FALSE, deshrink="inverse",
, full=FALSE, ...)
## S3 method for class 'WA'
plot(x, resid=FALSE, xval=FALSE, tolDW=FALSE, deshrink="inverse",
, full=FALSE, ...)
## S3 method for class 'WA'
plot(x, resid=FALSE, xval=FALSE, tolDW=FALSE, deshrink="inverse",
R: Residence
ResidenceR Documentation
Residence
R: Residency Analysis
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Resid linreg
residR Documentation
Resid linreg
R: Generate residence events
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Method resid for package calib
resid-methodsR Documentation
Method resid for package calib
R: generic accessor method for resids
residsR Documentation
generic accessor method for resids
R: Generic Method for resid()
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Generic resid function
residR Documentation
Generic resid function
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
Package: kitchen
Type: Package
Title: Convolutional Kitchen Sinks in R
of Washington.
Usage
data("WA")
mod <- wa(SumSST ~., data = ImbrieKipp)
## extract the fitted values
fitted(mod)
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
R: S3 Generic function
residR Documentation
S3 Generic function
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