Last data update: 2014.03.03

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Results 1 - 10 of 14 found.
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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