FEES: FEES
R: FEES
FEESR Documentation
FEES
R: FEES
FEESR Documentation
FEES
R: Create Fee Activity Type Helper
feeR Documentation
Create Fee Activity Type Helper
assemblages using weighted averaging (WA) regression and calibration.
Usage
WA(y, x, mono=FALSE, tolDW = FALSE, use.N2=TRUE
assemblages using weighted averaging (WA) regression and calibration.
Usage
WA(y, x, mono=FALSE, tolDW = FALSE, use.N2=TRUE
Type: Package
Package: fee
Title: Estimate the First-Exposure Effect (FEE) using Count Data Models
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
<- oneinfl::oneinfl(formula = y ~ x + d | x + d, df = df, dist = "Poisson")
fee(model, data = df)
of Washington.
Usage
data("WA")
and classicial
deshrinking are supported.
Usage
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
R: X
XR Documentation
X
Package: FEEr
Type: Package
Title: Functional Extension and Evenness (FEE) index from trait data
transform". Communications in Statistics - Theory and Methods, 41(9): 1543-1556. DOI
Examples
X=stats::rgamma(20,3,6)
R: X
XR Documentation
X
solution
Description
Extracts the weighted averages of a CCA solution
R: x
xR Documentation
x
R: X
XR Documentation
X
R: x
xR Documentation
x
R: X
XR Documentation
X
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