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
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
design with glustered data
FFD2 <- FD$design(choice_set_size=2, clustered=2, nb_levels_DM=c(2, 3, 4, 2), nb_levels_AT=c(2
factorial design with glustered data
FFD2 <- FD$design(choice_set_size=2, clustered=2, nb_levels_DM=c(2, 3, 4, 2
R: design
designR Documentation
design
R: Design
designR Documentation
Design
R: Design
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Design
designR Documentation
Design
R: designer: Design tools for R users.
designerR Documentation
designer: Design tools for R users.
R: The design matrix
designR Documentation
The design matrix
study
df <- nelder(~ind(20) > t(6))
df$int <- 0
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