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
^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted
^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
of Washington.
Usage
data("WA")
## tolerance DW
mod3 <- wa(SumSST ~ ., data = ImbrieKipp, tol.dw = TRUE,
min.tol = 2, small.tol = "mean
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
solution
Description
Extracts the weighted averages of a CCA solution
, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
Package: Solo
Title: Tabulates Prevalence and Hazard Ratios ("Never Tell me the Odds!")
Version: 0.1.0
R: Interior Delta survival
interior_delta_survivalR Documentation
Interior Delta survival
R: Interior bru reader
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: interior subsetting function
subsetDataR Documentation
interior subsetting function
R: Interior polygon angles
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Hockey Goal Crease (Interior)
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Find an interior point
findInteriorPointR Documentation
Find an interior point
R: Interior product between matrices
int_prod_matR Documentation
Interior product between matrices
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