WA: Weighted averaging (WA) regression and calibration
to be modelled or an object of class WA.
newdata
new biological data to be predicted.
to be modelled or an object of class WA.
newdata
new biological data to be predicted.
to be modelled or an object of class WA.
newdata
new biological data to be predicted.
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
,..., model = FALSE)
## S3 method for class 'wa'
fitted(object, ...)
of Washington.
Usage
data("WA")
cooking oil 1 in Jawa Barat
Minyak Goreng Kemasan Bermerk 2Price of branded packaged cooking oil 2 in Jawa Barat
Gula
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
R: Browse Open Data Jawa Barat
jabr_browseR Documentation
Browse Open Data Jawa Barat
R: Browse Open Data Jawa Barat
jabr_browseR Documentation
Browse Open Data Jawa Barat
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
R: Calculates covariance from Hartvig Model 2
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Estimate gamma for Model 2 of Hartvig and Jensen (2000)
const macros = { "\\R": "\\textsf{R}", "\\code
R: pwm.2 model matrix
pwm.2R Documentation
pwm.2 model matrix
] "1" "2" "3" "4"
#liczymy wskaźniki konkurencji
w<-modele(d[[1]])
R: Model
ModelR Documentation
Model
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