Transform the p-values to z-values. Both two-sided and one-sided transformations are implemented.
Ztransform(p.value, e.sign, eff.sign = TRUE, tol = 1e-15)
a vector of z-values
a vector of p-values
a vector of signs of the effects, taken on value -1 and 1. (In effects when 'eff.sign = TRUE')
a logical value indicating whether the direction/sign of the effect should be considered
a numeric value at which the p-value (both ends) will truncate.
Jun Chen
Xiao, J., Cao, H., Chen, J. (2017). False discovery rate control incorporating phylogenetic tree increases detection power in microbiome-wide multiple testing. Bioinformatics, 33(18), 2873-2881.