Example.MWG.Exercise.15.B.9: Exercise 15.B.9 in MWG (1995)
R: Exercise 15.B.9 in MWG (1995)
Example.MWG.Exercise.15.B.9R Documentation
Exercise 15.B.9 in MWG (1995
R: Exercise 15.B.9 in MWG (1995)
Example.MWG.Exercise.15.B.9R Documentation
Exercise 15.B.9 in MWG (1995
assemblages using weighted averaging (WA) regression and calibration.
Usage
WA(y, x, mono=FALSE, tolDW = FALSE, use.N2=TRUE
assemblages using weighted averaging (WA) regression and calibration.
Usage
WA(y, x, mono=FALSE, tolDW = FALSE, use.N2=TRUE
dana
Format
A data frame with 38 rows and 2 variables:
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")
R: X
XR Documentation
X
R: X
XR Documentation
X
R: X
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: X
XR Documentation
X
R: x
xR Documentation
x
R: X
XR Documentation
X
transform". Communications in Statistics - Theory and Methods, 41(9): 1543-1556. DOI
Examples
X=stats::rgamma(20,3,6)
R: x
xR Documentation
x
R: X
XR Documentation
X
solution
Description
Extracts the weighted averages of a CCA solution
R: X
XR Documentation
X
R: x
xR Documentation
x
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.