predPhi: Prediction Of The Random Effects In Mixed Stochastic...
In SimoneHermann/hierRegSDE:
Description
Usage
Arguments
Value
References
Examples
Description
Prediction of the random effects
Usage
1
predPhi(samples, cand)
Arguments
samples
output of estSDE or estREg
cand
candidates for phi (matrix with p columns)
Value
matrix phi
References
follows...
Examples
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mod <- "Gompertz"
bSDE <- getFun("SDE", mod)
mu <- getPar("SDE", mod, "truePar")
n <- 5
parameters <- defaultPar(mu, n)
y <- drawData("SDE", bSDE, parameters)
t <- parameters$t
prior <- getPrior(mu, parameters$gamma2)
start <- getStart(mu, n)
chains <- estSDE(t, y, prior, start, bSDE)
phi.pred <- predPhi(chains)
SimoneHermann/hierRegSDE documentation built on May 9, 2019, 1:46 p.m.
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Description Usage Arguments Value References Examples
Description
Prediction of the random effects
Usage
1 | predPhi(samples, cand)
|
Arguments
samples |
output of estSDE or estREg |
cand |
candidates for phi (matrix with p columns) |
Value
matrix phi
References
follows...
Examples
1 2 3 4 5 6 7 8 9 10 11 12 | mod <- "Gompertz"
bSDE <- getFun("SDE", mod)
mu <- getPar("SDE", mod, "truePar")
n <- 5
parameters <- defaultPar(mu, n)
y <- drawData("SDE", bSDE, parameters)
t <- parameters$t
prior <- getPrior(mu, parameters$gamma2)
start <- getStart(mu, n)
chains <- estSDE(t, y, prior, start, bSDE)
phi.pred <- predPhi(chains)
|
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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