{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:41:06Z","timestamp":1765546866112,"version":"build-2065373602"},"reference-count":66,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T00:00:00Z","timestamp":1642377600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"JSPS KAKENHI","award":["JP26330047","JP21K12127","JP18K11196"],"award-info":[{"award-number":["JP26330047","JP21K12127","JP18K11196"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Meta-analysis is an indispensable tool for synthesizing statistical results obtained from individual studies. Recently, non-Bayesian estimators for individual means were proposed by applying three methods: the James\u2013Stein (JS) shrinkage estimator, isotonic regression estimator, and pretest (PT) estimator. In order to make these methods available to users, we develop a new R package meta.shrinkage. Our package can compute seven estimators (named JS, JS+, RML, RJS, RJS+, PT, and GPT). We introduce this R package along with the usage of the R functions and the \u201caverage-min-max\u201d steps for the pool-adjacent violators algorithm. We conduct Monte Carlo simulations to validate the proposed R package to ensure that the package can work properly in a variety of scenarios. We also analyze a data example to show the ability of the R package.<\/jats:p>","DOI":"10.3390\/a15010026","type":"journal-article","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T08:20:42Z","timestamp":1642407642000},"page":"26","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means"],"prefix":"10.3390","volume":"15","author":[{"given":"Nanami","family":"Taketomi","sequence":"first","affiliation":[{"name":"Biostatistics Center, Kurume University, Kurume 830-0011, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4494-2529","authenticated-orcid":false,"given":"Hirofumi","family":"Michimae","sequence":"additional","affiliation":[{"name":"Department of Clinical Medicine (Biostatistics), School of Pharmacy, Kitasato University, Tokyo 108-8641, Japan"}]},{"given":"Yuan-Tsung","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Social Information, Mejiro University, Tokyo 161-8539, Japan"}]},{"given":"Takeshi","family":"Emura","sequence":"additional","affiliation":[{"name":"Biostatistics Center, Kurume University, Kurume 830-0011, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,17]]},"reference":[{"key":"ref_1","unstructured":"Borenstein, M., Hedges, L.V., Higgins, J.P., and Rothstein, H.R. 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