WA: Weighted averaging (WA) regression and calibration

^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

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

ko: Example nonhuman demand data with drug and dose

with drug and dose
Description
Data from Ko et al. (2002)

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")

KOS: Function which generates feature weights, discriminant

(either 1 or 2) for each data point in X. Uses Data and Cat to train the classifier.
Usage
KOS(TestData = NULL, TrainData

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

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

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

KO112/KO: Kevin O'Brien's Personal Package

Package: KO
Type: Package
Title: Kevin O'Brien's Personal Package

stevejones131415/ko: Predicts Stock Price Movement for Given Stock Symbol

the stock price at tommorow's market close would be higher or lower compared to today's closing price.
License: GPL-2
LazyData

R/wa-counties-boundaries.R:

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

Heejoo-Ko/GSEpractice2: What the Package Does (One Line, Title Case

(markdown = TRUE)
RoxygenNote: 7.1.1
URL: https://github.com/Heejoo-Ko/GSEpractice2

analyses/KO-sigpos-freq_EDA.R:

to sig pos KO
clusters <- cell_meta %>%
split(.$louvain) %>%

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