Hello all,
I am new to the list serve but hope to contribute what I can. For now,
however, I hope to tap into all your knowledge about mixed effects models.
Currently, I am running a mixed effects model on a time series panel data.
For this model I want to find out the fixed and random effect for two
discrete variables.
My Model:
m1 <- lmer(mghegdp_who ~ govdisgdp_up_net + pridisgdp_up_net +
mgdppc_usd06_imf + drdisgdp + mggegdpwb + hiv_prevalence + (0 +
govdisgdp_up_net|country) + (0 + pridisgdp_up_net|country), data)
To find the overall effect *with confidence intervals* of govdisgdp_up_net &
pridisgdp_up_net I need to account for the fixed and random effects.
Has any calculated this? Or does anyone have suggestions?
Also, does anyone know of the ability to calculate the postVar for a model
with multiple random effects?
Thank you and look forward to hearing your insights.
Matt 'Lost in Seattle'
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