fixef.lmekin: Extraction functions for Lmekin

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Extract the fixed effects, random effects, variance of the fixed effects, or variance of the random effects from a linear mixed effects model fit with lmekin.

Usage

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## S3 method for class 'lmekin'
fixef(object, ...)
## S3 method for class 'lmekin'
ranef(object, ...)
## S3 method for class 'lmekin'
vcov(object, ...)
## S3 method for class 'lmekin'
VarCorr(x, ...)
## S3 method for class 'lmekin'
logLik(object, ...)

Arguments

object

an object inheriting from class lmekin representing the result of a mixed effects model.

x

an object inheriting from class lmekin representing the result of a mixed effects model.

...

some methods for this generic require additional arguments. None are used in this method.

Details

For the random effects model y = X beta + Zb + e, let s^2 be the variance of the error term e. Let A = sP be the variance of the random effects b. There is a computational advantage to solving the problem in terms of P instead of A, and that is what is stored in the returned lmekin object. The VarCorr function returns elements of P; the print and summary functions report values of A. Pinhiero and Bates call P the precision factor.

Value

the fixed effects are a vector and vcov returns their variance/covariance matrix. The random effects are a list with one element for each random effect. The ranef component contains the coefficients and VarCorr the estimated variance/covariance matrix. The logLik method returns the loglikelihood along with its degrees of freedom.

Author(s)

Terry Therneau

References

J Pinheiro and D Bates, Mixed-effects models in S and S-Plus. Springer, 2000.

See Also

lmekin, random.effects, fixed.effects, link{vcov}, VarCorr

Examples

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data(ergoStool, package="nlme")  # use a data set from nlme
efit <-  lmekin(effort ~ Type + (1|Subject), ergoStool)
ranef(efit)


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