{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"org.agenticjournal/paper-green-macleod-2016-simr","description":"Power for (generalised) linear mixed models by simulation from a fitted model.","version":"0.2.0","title":"Mixed-Model Power Agent","websiteUrl":"https://doi.org/10.1111/2041-210X.12504","remotes":[{"type":"streamable-http","url":"https://paper-agent-simr-418969583050.europe-west1.run.app/simr/mcp"}],"_meta":{"org.agenticjournal.registry/agent":{"longDescription":"simr estimates statistical power for linear and generalised linear mixed models by simulating new responses from a fitted lme4 model, refitting, and testing; it can extend a design along a grouping factor to find the sample size needed.","availability":"hosted","capabilityKinds":["simulate","score"],"skills":[{"id":"power_sim","name":"Power sim","description":"Power to detect one fixed effect at the sample size of the data, by simulation.","tags":[]},{"id":"power_curve","name":"Power curve","description":"Power against sample size for one fixed effect: simr::powerCurve.","tags":[]},{"id":"versions","name":"Versions","description":"Report the R and package versions this agent runs, its limits, and its paper.","tags":[]}]},"org.agenticjournal.registry/official":{"status":"active","isLatest":true},"org.agenticjournal.registry/paper":{"doi":"10.1111/2041-210X.12504","title":"SIMR: an R package for power analysis of generalized linear mixed models by simulation","year":2016,"venue":"Methods in Ecology and Evolution","authors":[{"family":"Green","given":"Peter","orcid":"https://orcid.org/0000-0002-0238-9852"},{"family":"MacLeod","given":"Catriona J."}],"csl":{"DOI":"10.1111/2041-210x.12504","URL":"http://dx.doi.org/10.1111/2041-210X.12504","ISSN":["2041-210X","2041-210X"],"link":[{"URL":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F2041-210X.12504","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F2041-210X.12504","content-type":"application/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12504","content-type":"application/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https://onlinelibrary.wiley.com/doi/full-xml/10.1111/2041-210X.12504","content-type":"application/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12504","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"page":"493-498","type":"journal-article","issue":"4","score":1,"title":"<scp>SIMR</scp>\n                    : an R package for power analysis of generalized linear mixed models by simulation","author":[{"role":[{"role":"author","vocabulary":"crossref"}],"ORCID":"https://orcid.org/0000-0002-0238-9852","given":"Peter","family":"Green","sequence":"first","affiliation":[{"name":"Landcare Research Private Bag 1930 Dunedin 9054 New Zealand"}],"authenticated-orcid":false},{"role":[{"role":"author","vocabulary":"crossref"}],"given":"Catriona J.","family":"MacLeod","sequence":"additional","affiliation":[{"name":"Landcare Research Private Bag 1930 Dunedin 9054 New Zealand"}]}],"editor":[{"role":[{"role":"editor","vocabulary":"crossref"}],"given":"Shinichi","family":"Nakagawa","sequence":"additional","affiliation":[]}],"funder":[{"id":[{"id":"10.13039/501100003524","id-type":"DOI","asserted-by":"publisher"}],"DOI":"10.13039/501100003524","name":"Ministry of Business, Innovation and Employment","award":["AGRB1201"],"award-info":[{"award-number":["AGRB1201"]}],"doi-asserted-by":"publisher"}],"issued":{"date-parts":[[2016,1,18]]},"member":"311","prefix":"10.1111","source":"Crossref","volume":"7","created":{"date-time":"2015-11-17T07:32:40Z","timestamp":1447745560000,"date-parts":[[2015,11,17]]},"indexed":{"version":"4.1.0","date-time":"2026-09-28T03:26:15Z","timestamp":1790565975832,"date-parts":[[2026,9,28]]},"license":[{"URL":"http://onlinelibrary.wiley.com/termsAndConditions#vor","start":{"date-time":"2016-01-18T00:00:00Z","timestamp":1453075200000,"date-parts":[[2016,1,18]]},"delay-in-days":0,"content-version":"vor"}],"subject":[],"abstract":"<jats:title>Summary</jats:title>\n                  <jats:p>\n                    <jats:list>\n                      <jats:list-item>\n                        <jats:p>\n                          The\n                          <jats:sc>r</jats:sc>\n                          package\n                          <jats:sc>simr</jats:sc>\n                          allows users to calculate power for generalized linear mixed models from the\n                          <jats:sc>lme</jats:sc>\n                          4 package. The power calculations are based on Monte Carlo simulations.\n                        </jats:p>\n                      </jats:list-item>\n                      <jats:list-item>\n                        <jats:p>It includes tools for (i) running a power analysis for a given model and design; and (ii) calculating power curves to assess trade‐offs between power and sample size.</jats:p>\n                      </jats:list-item>\n                      <jats:list-item>\n                        <jats:p>This paper presents a tutorial using a simple example of count data with mixed effects (with structure representative of environmental monitoring data) to guide the user along a gentle learning curve, adding only a few commands or options at a time.</jats:p>\n                      </jats:list-item>\n                    </jats:list>\n                  </jats:p>","language":"en","relation":{},"resource":{"primary":{"URL":"https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.12504"}},"subtitle":[],"deposited":{"date-time":"2023-09-06T14:11:30Z","timestamp":1694009490000,"date-parts":[[2023,9,6]]},"published":{"date-parts":[[2016,1,18]]},"publisher":"Wiley","reference":[{"DOI":"10.1186/1471-2288-11-94","key":"e_1_2_14_2_1","doi-asserted-by":"publisher"},{"DOI":"10.18637/jss.v067.i01","key":"e_1_2_14_3_1","doi-asserted-by":"publisher"},{"DOI":"10.2307/j.ctvcm4g37","key":"e_1_2_14_4_1","doi-asserted-by":"publisher"},{"DOI":"10.1016/j.tree.2008.10.008","key":"e_1_2_14_5_1","doi-asserted-by":"publisher"},{"key":"e_1_2_14_6_1","unstructured":"Donohue M.C.&Edland S.D.(2013)longpower: Power and Sample Size Calculators for Longitudinal Data.rpackage version 1.0‐11. 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