Results for each were meta-analyzed using a fixed effects inverse variance weighting implemented in METAL.
A comparison between the previously published structure and our structure suggests that the exposure filter described here and the B-factor weighting implemented in Relion (Scheres, 2014; see below) and used by Campbell et al. perform equally well.
Thus the morphology partition also was analyzed with implied weights as implemented in TNT, with the constant of the weighting function set to the default value (k = 3).
In [15], a Bayesian NMF with gamma priors for source signals and mixture weights was implemented through a MCMC algorithm.
Two distinct classes of synaptic weights were implemented in the network, standard (S) and strong cross-excitation (SCE) (Fig. 5).
To visualize the structure of 2002 and 2011 tails, we extracted the subnetworks consisting only of the degree tail countries and then used the Walktrap algorithm with bandwidth as edge weights as implemented in igraph to identify communities within the subnetwork.
Convex hulls for obtaining the weights are implemented using a standard Graham scan.
Similarly, xtmixed and gllamm can be used in Stata and the lme4 package in R. In the Stata program gllamm, a full pseudo-maximum-likelihood estimation which allows for specification of probability weights, is implemented via adaptive quadrature [ 27].
In the former, a pseudolikelihood approach for accommodating inverse probability weights is implemented by using adaptive quadrature, and a sandwich estimator is used to obtain standard errors that account for complex sampling, since model-based standard error estimates may not be valid.
Homoplastic morphological characters were down-weighted in the constrained analysis using implied weighting as implemented in TNT (k = 3) [ 40].
