premium: Risk Premium computation

R: Risk Premium computation
premiumR Documentation
Risk Premium computation

premium: premium R markdown template

R: premium R markdown template
premiumR Documentation
premium R markdown template

premium: A combination of all the premium in the data sets on the case...

R: A combination of all the premium in the data sets on the case...
premiumR Documentation
A combination of all

premium: A combination of all the premium in the data sets on the case...

R: A combination of all the premium in the data sets on the case...
premiumR Documentation
A combination of all

WA: Weighted averaging (WA) regression and calibration

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

WA: Weighted averaging (WA) regression and calibration

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

PReMiuM: Dirichlet Process Bayesian Clustering, Profile Regression

Package: PReMiuM
Type: Package
Title: Dirichlet Process Bayesian Clustering, Profile Regression

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of

WA: SpatialPolygonsDataFrame for the state of Washington, USA

of Washington.
Usage
data("WA")

wa: Weighted averaging transfer functions

and classicial
deshrinking are supported.
Usage

WA: SpatialPolygonsDataFrame for the state of Washington, USA

of Washington.
Usage
data("WA")

WA: SpatialPolygonsDataFrame for the state of Washington, USA

of Washington.
Usage
data("WA")

wa: Extracts the weighted averages of a CCA solution

solution
Description
Extracts the weighted averages of a CCA solution

WA: statistic of the Watson goodness-of-fit test for the gamma

, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)

wa: Extracts the weighted averages of a CCA solution

of a CCA solution
Description
Extracts the weighted averages of a CCA solution

dbca-wa/turtleviewer: WA Turtle Data Viewer

Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102

dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper

PReMiuM-package: Dirichlet Process Bayesian Clustering

, e, { throwOnError: false, macros }); }
return;
PReMiuM-packageR Documentation

R/wa-counties-boundaries.R:

(class =  `sf`)
#' @rdname wa-counties-boundaries
#' @export

R/premium-pdf.R:

#' premium R markdown template for PDF output
#'
#' Template for creating an R markdown documents with an emphasis