gfimm: Generalized fiducial inference
In stla/gfimm: Generalized fiducial inference for mixed models
Description
Usage
Arguments
Value
Examples
Description
Generalized fiducial inference
Usage
1
gfimm(dat, FE, RE, N, thresh = N/2)
Arguments
dat
data
FE
design matrix of fixed effects
RE
random effects
N
desired number of simulations
thresh
threshold
Value
A list with two elements:
Examples
1
2
3
4
5
h <- 0.01
dat <- data.frame(npk$yield-h, npk$yield+h)
FE <- as.matrix(rep(1,nrow(dat))) # intercept
RE <- data.frame(block = npk$block)
gfi <- gfimm(dat, FE, RE, N=500)
stla/gfimm documentation built on May 9, 2019, 7:40 a.m.
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Description Usage Arguments Value Examples
Description
Generalized fiducial inference
Usage
1 | gfimm(dat, FE, RE, N, thresh = N/2)
|
Arguments
dat |
data |
FE |
design matrix of fixed effects |
RE |
random effects |
N |
desired number of simulations |
thresh |
threshold |
Value
A list with two elements:
Examples
1 2 3 4 5 | h <- 0.01
dat <- data.frame(npk$yield-h, npk$yield+h)
FE <- as.matrix(rep(1,nrow(dat))) # intercept
RE <- data.frame(block = npk$block)
gfi <- gfimm(dat, FE, RE, N=500)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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