Last data update: 2014.03.03
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R Release (3.2.3)
CranContrib
BioConductor
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SMO (statistical methods ontology)
Results 1 - 10 of 14 found.
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Images
lastResult
(Package: simr ) :
Recover an unsaved simulation
Simulations can take a non-trivial time to run. If the user forgets to assign the result to a variable this method can recover it.
● Data Source:
CranContrib
● Keywords:
● Alias: lastResult
●
0 images
modify
(Package: simr ) :
Modifying model parameters.
These functions can be used to change the size of a model's fixed effects, its random effect variance/covariance matrices, or its residual variance. This gives you more control over simulations from the model.
● Data Source:
CranContrib
● Keywords:
● Alias: VarCorr<-, coef<-, fixef<-, modify, scale<-, sigma<-
●
0 images
doFit
(Package: simr ) :
Fit model to a new response.
This is normally an internal function, but it can be overloaded to extend simr
to other packages.
● Data Source:
CranContrib
● Keywords:
● Alias: doFit
●
0 images
doTest
(Package: simr ) :
Apply a hypothesis test to a fitted model.
This is normally an internal function, but it can be overloaded to extend simr
to other packages.
● Data Source:
CranContrib
● Keywords:
● Alias: doTest
●
0 images
doSim
(Package: simr ) :
Generate simulated response variables.
This is normally an internal function, but it can be overloaded to extend simr
to other packages.
● Data Source:
CranContrib
● Keywords:
● Alias: doSim
●
0 images
tests
(Package: simr ) :
Specify a statistical test to apply
Specify a statistical test to apply
● Data Source:
CranContrib
● Keywords:
● Alias: compare, fcompare, fixed, random, rcompare, tests
●
0 images
simdata
(Package: simr ) :
Example dataset.
A simple artificial data set used in the tutorial. There are two response variables, a Poisson count z
and a Gaussian response y
. There is a continuous predictor x
with ten values {1,2,...,10}
and a categorical predictor g
with three levels {a, b, c}
.
● Data Source:
CranContrib
● Keywords:
● Alias: simdata
●
0 images
simrOptions
(Package: simr ) :
Options Settings for code{simr
Control the default behaviour of simr
analyses.
● Data Source:
CranContrib
● Keywords:
● Alias: getSimrOption, simrOptions
●
0 images
makeGlmer
(Package: simr ) :
Create an artificial mixed model object
Make a merMod
object with the specified structure and parameters.
● Data Source:
CranContrib
● Keywords:
● Alias: makeGlmer, makeLmer
●
0 images
extend
(Package: simr ) :
Extend a longitudinal model.
This method increases the sample size for a model.
● Data Source:
CranContrib
● Keywords:
● Alias: extend
●
0 images