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

kota: Indonesia city and regency data

GITHUB

rasyidstat/nusantr: We R Nusantara

of Indonesia cities and regencies with the ID.
Usage
kota

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

design: Set observation designs for the simulation

CRAN

mrgsolve: Simulate from ODE-Based Models

R: Set observation designs for the simulation
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

design: design

GITHUB

AntoineDubois/RUMdesignSimulator: RUM design Simulator

per choice set.
clustered
Determines the way the data is represented in the experimental design table.

design: design

GITHUB

AntoineDubois/sdcv2: RUM design Simulator

of alternative per choice set.
clustered
Determines the way the data is represented in the experimental design table.