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The prediction interval is gaining prominence in meta-analysis as it enablesthe assessment of uncertainties in treatment effects and heterogeneity betweenstudies. However, coverage probabilities of the current standard method forconstructing prediction intervals cannot retain their nominal levels ingeneral, particularly when the number of synthesized studies is moderate orsmall, because their validities depend on large sample approximations.Recently, several methods have developed been to address this issue. This paperbriefly summarizes the recent developments in methods of prediction intervalsand provides readable examples using R for multiple types of data with simplecode. The pimeta package is an R package that provides these improved methodsto calculate accurate prediction intervals and graphical tools to illustratethese results. The pimeta package is listed in ``CRAN Task View:Meta-Analysis.'' The analysis is easily performed in R using a series of Rpackages.

pimeta: an R package of prediction intervals for random-effects meta-analysis