FEES: FEES

GITHUB

svanbelle/multiagree: Comparaison of dependent kappa coefficients

R: FEES
FEESR Documentation
FEES

fee: Create Fee Activity Type Helper

GITHUB

chrishaarstick/madstork: MadStork Portfolio Management

R: Create Fee Activity Type Helper
feeR Documentation
Create Fee Activity Type Helper

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

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

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

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

fee: Estimate the First-Exposure Effect (FEE) using Count Data Models

CRAN

fee: Estimate the First-Exposure Effect (FEE) using Count Data Models

, estimates the marginal FEE, and
standard errors for the FEE and marginal FEE.
License: GPL (>= 3)

vinyl: Vinysl plasticizer formulations experiment data

CRAN

daewr: Design and Analysis of Experiments with R

experiment data
Description
Data from vinyl plasticiser formulation experiment in chapter 11 of Design and Analysis

fee: First-Exposure Effect

CRAN

fee: Estimate the First-Exposure Effect (FEE) using Count Data Models

-exposure effect (FEE) from a fitted 'oneinfl' model object.
The FEE measures the difference between the expected count

vinyl: Vinysl plasticizer formulations experiment data

RFORGE

daewr: Design and Analysis of Experiments with R

data
Description
Data from vinyl plasticiser formulation experiment in chapter 11 of Design and Analysis

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

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

and classicial
deshrinking are supported.
Usage

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

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

of Washington.
Usage
data("WA")

tz05/FEE: Functional Extension and Evenness (FEE) index from trait data

GITHUB

tz05/FEE: Functional Extension and Evenness (FEE) index from trait data

Package: FEEr
Type: Package
Title: Functional Extension and Evenness (FEE) index from trait data

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: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

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

col.3: col.3

GITHUB

HughParsonage/grattanCharts: Create Charts in the Style of the Grattan Insitute, Melbourne

R: col.3
col.3R Documentation
col.3