Aceh: Food Prices in Aceh

CRAN

ifpd: Indonesia Food Prices Data

R: Food Prices in Aceh
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

pays: pays

GITHUB

stephLH/geographie: Fonctions autour du referentiel geographique

R: pays
paysR Documentation
pays

subsidy: Calculate subsidy amount to be returned

GITHUB

berudri/Subsidy: Calculate subsidy amount to be returned

R: Calculate subsidy amount to be returned
subsidyR Documentation
Calculate subsidy amount to be returned

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

to be modelled or an object of class WA.
newdata
new biological data to be predicted.

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

to be modelled or an object of class WA.
newdata
new biological data to be predicted.

berudri/Subsidy: Calculate subsidy amount to be returned

GITHUB

berudri/Subsidy: Calculate subsidy amount to be returned

Package: Assignment2
Title: Calculate subsidy amount to be returned
Version: 0.0.0.9000

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

class-subsidy: An S4 class to represent a commodity subsidy

GITHUB

energyRt/energyRt: Energy systems modeling toolbox in R, development version

R: An S4 class to represent a commodity subsidy
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

class-subsidy: An S4 class to represent a commodity subsidy

GITHUB

olugovoy/energyRt: Energy systems modeling toolbox in R, development version

R: An S4 class to represent a commodity subsidy
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

pai: Predictive Accuracy Index

GITHUB

apwheele/ptools: Tools for Poisson Data

of predictions and observed counts, returns the PAI (predictive accuracy index),
PEI (predictive efficiency index

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

,..., model = FALSE)
## S3 method for class 'wa'
fitted(object, ...)

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

pai: A 25 m resolution dataset of plant area index values

GITHUB

ilyamaclean/microsnow: Below or above canopy microclimate modelling with R in snowy environments

, xmax = 2964950,
ymin = 10221300, ymax = 10222550, CRS: 3395).
Usage

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

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

of Washington.
Usage
data("WA")

pai: Predictive Accuracy Index

CRAN

ptools: Tools for Poisson Data

and observed counts, returns the PAI (predictive accuracy index),
PEI (predictive efficiency index), and the RRI (recovery

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

pay-class: Class "pay" for proportion at age per year

GITHUB

flr/FLEDA: Exploratory Data Analysis for FLR

R: Class "pay" for proportion at age per year
pay-classR Documentation
Class "pay" for proportion at age per year