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

GITHUB
Ractuary/casdata: loss data available on CAS website

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...

GITHUB
merlinoa/casdata: loss data available on CAS website

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

premium: Risk Premium computation

CRAN
ceRtainty: Certainty Equivalent

R: Risk Premium computation
premiumR Documentation
Risk Premium computation

premium: premium R markdown template

GITHUB
dungates/DGThemes: Additional Themes, Theme Components and Utilities for 'ggplot2'

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

WA: Weighted averaging (WA) regression and calibration

CRAN
rioja: Analysis of Quaternary Science Data

method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns

WA: Weighted averaging (WA) regression and calibration

GITHUB
nsj3/rioja: Analysis of Quaternary Science Data

method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns

PReMiuM: Dirichlet Process Bayesian Clustering, Profile Regression

CRAN
PReMiuM: Dirichlet Process Bayesian Clustering, Profile Regression

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

man/PReMiuM-package.Rd

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

CRAN
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

avery-kruger/kitchen: Convolutional Kitchen Sinks in R

GITHUB
avery-kruger/kitchen: Convolutional Kitchen Sinks in R

Package: kitchen
Type: Package
Title: Convolutional Kitchen Sinks in R

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Weighted averaging transfer functions

CRAN
analogue: Analogue and Weighted Averaging Methods for Palaeoecology

mod <- wa(SumSST ~., data = ImbrieKipp)
## extract the fitted values
fitted(mod)

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN
SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Extracts the weighted averages of a CCA solution

GITHUB
villardon/MultBiplotR: Multivariate Analysis Using Biplots in R

solution
Description
Extracts the weighted averages of a CCA solution

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

CRAN
gofgamma: Goodness-of-Fit Tests for the Gamma Distribution

, 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

CRAN
MultBiplotR: Multivariate Analysis Using Biplots in R

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

dbca-wa/turtleviewer: WA Turtle Data Viewer

GITHUB
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

GITHUB
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

CRAN
PReMiuM: Dirichlet Process Bayesian Clustering, Profile Regression

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

sets: Sets, Generalized Sets, Customizable Sets and Intervals

CRAN
sets: Sets, Generalized Sets, Customizable Sets and Intervals

Package: sets
Version: 1.0-25
Title: Sets, Generalized Sets, Customizable Sets and Intervals

man/sets-internal.Rd