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
R: The 'MIRES' package.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: The 'MIRES' package.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
Package: MIRES
Title: Measurement Invariance Assessment Using Random Effects Models
and Shrinkage
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
assessment.
Usage
mires(
assessment.
Usage
mires(
of Washington.
Usage
data("WA")
and classicial
deshrinking are supported.
Usage
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
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
Package: MIRES
Title: Measurement Invariance Assessment Using Random Effects Models and Shrinkage
Version: 0.1.1
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
#' The 'MIRES' package.
#'
#' @description Estimates random effect latent measurement models, wherein the loadings
#' The 'MIRES' package.
#'
#' @description Estimates random effect latent measurement models, wherein the loadings
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