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: gRc
Version: 0.5.1
Title: Inference in Graphical Gaussian Models with Edge and Vertex
R: The package 'gRc': summary information
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: The package 'gRc': summary information
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
estimators.
Usage
RAB(x, percent = FALSE, unname = FALSE)
... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)
for the International
Assesment of Adult competencies.
Usage
... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)
Package: gRc
Version: 0.4-1
Title: Inference in Graphical Gaussian Models with Edge and Vertex
association model (GRC) to a matrix of counts,
and more generally, row-column interaction models (RCIMs).
RCIMs allow
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")
, macros }); }
return;
GRCR Documentation
solution
Description
Extracts the weighted averages of a CCA solution
of Washington.
Usage
data("WA")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.
