WA: Weighted averaging (WA) regression and calibration

CRAN
rioja: Analysis of Quaternary Science Data

^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted

WA: Weighted averaging (WA) regression and calibration

GITHUB
nsj3/rioja: Analysis of Quaternary Science Data

^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted

traps: Detector Array

CRAN
secr: Spatially Explicit Capture-Recapture

: false, macros }); }
return;
trapsR Documentation

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

trap: Trapezoid method

CRAN
cmna: Computational Methods for Numerical Analysis

f <- function(x) { sin(x)^2 + cos(x)^2 }
trap(f, -pi, pi, m = 10)
trap(f, -pi, pi, m = 100)

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

trap: Calculate Area Under the Curve Using Trapezoids

CRAN
qpNCA: Noncompartmental Pharmacokinetic Analysis by qPharmetra

of method, only linear interpolation is used
for areas of intervals beginning or ending with y: 0.
Usage

wa: Weighted averaging transfer functions

CRAN
analogue: Analogue and Weighted Averaging Methods for Palaeoecology

## tolerance DW
mod3 <- wa(SumSST ~ ., data = ImbrieKipp, tol.dw = TRUE,
min.tol = 2, small.tol = "mean

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

rosehartman/frog-trap: Draft manuscript and code on ecological traps

GITHUB
rosehartman/frog-trap: Draft manuscript and code on ecological traps

Package: frog-trap
Type: Package
Title: Draft manuscript and code on ecological traps

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

man/figures/README-unnamed-chunk-7-2.png

matthuska/tRap: A biophysical model for transcription factor binding affinities

GITHUB
matthuska/tRap: A biophysical model for transcription factor binding affinities

Package: tRap
Title: A biophysical model for transcription factor binding affinities
Version: 0.7

R/tRap-package.R
man/tRap-package.Rd

tRap-package: compute transcription factor binding site affinity

GITHUB
matthuska/tRap: A biophysical model for transcription factor binding affinities

R: compute transcription factor binding site affinity
tRap-packageR Documentation
compute transcription factor

R/wa-wolf.R:

GITHUB
tessington/quantecol: Introduction to Quantitative Ecology

and from air, track surveys, and camera trap surveys. Some wolves
#' may be present but are not detected.
#'

R/tRap-package.R:

GITHUB
matthuska/tRap: A biophysical model for transcription factor binding affinities

#' The TRAP method to predict transcription factor binding affinity to DNA
#' sequences (Roider et al 2007)
#'