search for: v_3

Hello, Great to see the new metafor package for meta-analysis. I would like to perform a meta-analysis in which I initially calculate the intercept of the model with a nested random-effects structure. In lme, this would be model<- lme(v3~1, random=~1|species/study, weights = varFixed(~Wt), method = "REML") where multiple effects sizes are measured for some studies and more than

Hello! In the example below the Reduce() function by default assigns "a" to be the last accumulated value and "b" to be the current value in "x". I could not find this documented anywhere as the default settings for the Reduce() function. Does any sort of documentation for this behavior exist? x <- c(0,0,0,0,0,1,0,0,0,5,0,0,0,7,0,0,0,8,5,10)

...sistent but > only the 3SLS estimator is (asymptotically) efficient. Under the > alternative hypothesis the 2SLS estimator is consistent but the > 3SLS estimator is inconsistent. > > The Hausman test statistic is > > m = ( b_2 - b_3 )' ( V_2 - V_3 ) ( b_2 - b_3 ) > > where $b_2$ and $V_2$ are the estimated coefficients and their > variance covariance matrix of a _2SLS_ estimation and $b_3$ and > $V_3$ are the estimated coefficients and their variance covariance > matrix of a _3SLS_ estimation. > > =======...

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