Obtaining X beta + Zb

Dear Asaf,

Does fitted() gives you what you want?

Best regards,

ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51
+ 32 54 43 61 85
Thierry.Onkelinx at inbo.be
www.inbo.be

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~ Sir Ronald Aylmer Fisher

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-----Oorspronkelijk bericht-----
Van: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] Namens Asaf Weinstein
Verzonden: dinsdag 24 juni 2014 15:13
Aan: r-sig-mixed-models
Onderwerp: [R-sig-ME] Obtaining X beta + Zb

Hello,

I wonder if there is a direct way to obtain the (BLUP of the) linear predictor, X beta + Zb, without having to first extract the (BLUP of the) random effects (with function ranef).

Thanks so much,
Asaf


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Asaf Weinstein <asafw.at.wharton at ...> writes:

Hello,

I wonder if there is a direct way to obtain the (BLUP of the) linear
predictor, X beta + Zb, without having to first extract the (BLUP of the)
random effects (with function ranef).

Isn't this what predict(model) or fitted(model) does?

I'm assuming you are referring to linear mixed models (i.e. lmer):

fm <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
fitted.values(fm)

Cheers,
Steve

Hello,

I wonder if there is a direct way to obtain the (BLUP of the) linear
predictor, X beta + Zb, without having to first extract the (BLUP of the)
random effects (with function ranef).

Thanks so much,
Asaf

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