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

dana: Impact of Outliers - Target Contact

GITHUB

gitrman/itns: Datasets from the book Introduction to the New Statistics

dana
Format
A data frame with 38 rows and 2 variables:

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")

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

sanity_check_bemovi.mag.25: Sanity check for bemovi.mag.25

GITHUB

LEEF-UZH/LEEF.analysis: Access Functions, Tests and Basic Analysis of the RRD Data from the LEEF Project

R: Sanity check for bemovi.mag.25
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

LXQin/DANA: Data-driven Normalization Assessment for miRNA-Seq Data

GITHUB

LXQin/DANA: Data-driven Normalization Assessment for miRNA-Seq Data

Package: DANA
Type: Package
Title: Data-driven Normalization Assessment for miRNA-Seq Data

25: Class '"BoundInFlux

RFORGE

SoilR: Models of Soil Organic Matter Decomposition

R: Class '"BoundInFlux"'
BoundInFlux-classR Documentation
Class "BoundInFlux

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

sims-uasettings-25: Simulation study results (unimodal, 25% non-null)

GITHUB

stephaniehicks/benchmarkfdrData2019: Data and Benchmarking Results from Korthauer and Kimes et al. (2019)

R: Simulation study results (unimodal, 25% non-null)
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

KH.quant.25: Get 'quantile' with rounded output for probability of 0.25

GITHUB

ks465/r-utils: A Collection of Wrappers for Frequently Used Codes

output for probability of 0.25
Description
Get quantile with rounded output for probability of 0.25

dbca-wa/etlTurtleNesting: Data ETL of Turtle Nesting Census Data from ODK Central to WAStD

GITHUB

dbca-wa/etlTurtleNesting: Data ETL of Turtle Nesting Census Data from ODK Central to WAStD

-wa/etlTurtleNesting
BugReports: https://github.com/dbca-wa/etlTurtleNesting/issues
License: MIT + file LICENSE