WA: Weighted averaging (WA) regression and calibration
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: 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: des
desR Documentation
des
of Washington.
Usage
data("WA")
R: DES
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
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
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
Algorithms
Description
Maximization of a fitness function using Differential Evolution (DE).
conditions.
Description
DE analysis based on DESeq2.
and coordinates of class DE for Germany statistical units to use with mapping functions or available in other R "maps
Description
Description of a data frame or a variable or wildcard for variable names
Usage
R: density estimation
deR Documentation
density estimation
R: Class "de"
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.