R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
R: EL class
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: EL class
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
of Washington.
Usage
data("WA")
and classicial
deshrinking are supported.
Usage
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
R: Empirical Likelihood based test for dependence
ELR Documentation
Empirical
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
, they can be kernel observation weights.
Usage
EL(
winner and loser
Usage
el
winner and loser
Usage
el
Package: EL
Version: 1.3
Date: 2024-10-28
Description
Usage
ELs
parliamentary written questions from the Hellenic Parliament, Greece (2015).
Usage
el
parliamentary written questions from the Hellenic Parliament, Greece (2015).
Usage
el
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