WA: Weighted averaging (WA) regression and calibration

lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,

WA: Weighted averaging (WA) regression and calibration

lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,

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

of Washington.
Usage
data("WA")

wa: Weighted averaging transfer functions

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

WA: SpatialPolygonsDataFrame for the state of Washington, USA

of Washington.
Usage
data("WA")

WA: SpatialPolygonsDataFrame for the state of Washington, USA

of Washington.
Usage
data("WA")

wa: Extracts the weighted averages of a CCA solution

solution
Description
Extracts the weighted averages of a CCA solution

WA: statistic of the Watson goodness-of-fit test for the gamma

, 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

of a CCA solution
Description
Extracts the weighted averages of a CCA solution

dbca-wa/turtleviewer: WA Turtle Data Viewer

Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102

colors.100: 100 distinct colors

R: 100 distinct colors
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

colors.100: 100 distinct colors

R: 100 distinct colors
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper

peaks.df.norm.100: Normalized Peak Shapes with 100 Observations

R: Normalized Peak Shapes with 100 Observations
peaks.df.norm.100R Documentation
Normalized Peak Shapes with 100

peaks.df.norm.100: Normalized Peak Shapes with 100 Observations

R: Normalized Peak Shapes with 100 Observations
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

bcjaeger/Solo: Tabulates Prevalence and Hazard Ratios ("Never Tell me the Odds

Package: Solo
Title: Tabulates Prevalence and Hazard Ratios ("Never Tell me the Odds!")
Version: 0.1.0

100: ~~ Methods for Function 'getAccumulatedRelease

R: ~~ Methods for Function 'getAccumulatedRelease' ~~
getAccumulatedRelease

gbdypi.100: GEBCO 100 m isobath in the N-Atlantic.

Description
GEBCO 100 m isobath in the N-Atlantic.
Format

R/wa-counties-boundaries.R:

(class =  `sf`)
#' @rdname wa-counties-boundaries
#' @export