Value of the definite integral of L0, evaluated around the distribution's mean
nullmass(y, sig, sig_prior = 2)
a vector of length n (n=number of studies) representing the effect (standardized mean difference)
a vector of length n (n=number of studies) representing the corresponding sampling standard deviation sqrt(variance)
a numeric entry representing the standard deviation's prior; default: 2
This is an auxiliary function to obtain the definite integral of L0,
evaluated around the distribution's mean. It calls the
and performs integration using
The output is later called by
BFbias to compute the Bayes Factor.
the value of the definite integral of the L0 distribution, evaluated around its mean (+-10 standard deviations)
1 2 3
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