{"id":"https://openalex.org/W4402839632","doi":"https://doi.org/10.32614/cran.package.learnvizlmm","title":"LearnVizLMM: Learning and Communicating Linear Mixed Models Without Data","display_name":"LearnVizLMM: Learning and Communicating Linear Mixed Models Without Data","publication_year":2024,"publication_date":"2024-09-25","ids":{"openalex":"https://openalex.org/W4402839632","doi":"https://doi.org/10.32614/cran.package.learnvizlmm"},"language":"en","primary_location":{"id":"doi:10.32614/cran.package.learnvizlmm","doi":"https://doi.org/10.32614/cran.package.learnvizlmm","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/cran.package.learnvizlmm","pdf_url":"https://cran.r-project.org/web/packages/LearnVizLMM/LearnVizLMM.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"volume":null,"type":"dataset","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://cran.r-project.org/web/packages/LearnVizLMM/LearnVizLMM.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080244920","display_name":"Katherine Zavez","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katherine Zavez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004606992","display_name":"Ofer Harel","orcid":"https://orcid.org/0000-0002-1054-3055","observed_orcids":["https://orcid.org/0000-0002-1054-3055"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ofer Harel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.7651000022888184,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.7651000022888184,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.18330000340938568,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11875","display_name":"Statistics Education and Methodologies","score":0.014000000432133675,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-mixed-models","display_name":"linear mixed models","score":0.902999997138977},{"id":"https://openalex.org/keywords/lme4","display_name":"lme4","score":0.7789999842643738},{"id":"https://openalex.org/keywords/r-programming","display_name":"R programming language","score":0.375},{"id":"https://openalex.org/keywords/model-communication","display_name":"model communication","score":0.48899999260902405},{"id":"https://openalex.org/keywords/analysis-plan","display_name":"analysis plan","score":0.6169999837875366},{"id":"https://openalex.org/keywords/statistics-education","display_name":"statistics education","score":0.35899999737739563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48145073652267456}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/cran.package.learnvizlmm","doi":"https://doi.org/10.32614/cran.package.learnvizlmm","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/cran.package.learnvizlmm","pdf_url":"https://cran.r-project.org/web/packages/LearnVizLMM/LearnVizLMM.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.32614/cran.package.learnvizlmm","doi":"https://doi.org/10.32614/cran.package.learnvizlmm","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/cran.package.learnvizlmm","pdf_url":"https://cran.r-project.org/web/packages/LearnVizLMM/LearnVizLMM.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402839632.pdf","grobid_xml":"https://content.openalex.org/works/W4402839632.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3209527572","https://openalex.org/W2976841802","https://openalex.org/W2900338323","https://openalex.org/W2550925958","https://openalex.org/W7098997253","https://openalex.org/W6960460951","https://openalex.org/W45471204","https://openalex.org/W7097354180","https://openalex.org/W6887681724","https://openalex.org/W4399568367"],"abstract_inverted_index":{"Summarizes":[0],"characteristics":[1],"of":[2],"linear":[3,39],"mixed":[4,40],"effects":[5,41],"models":[6,42,50],"without":[7],"data":[8],"or":[9],"a":[10],"fitted":[11],"model":[12],"by":[13],"converting":[14],"code":[15],"for":[16],"fitting":[17],"lmer()":[18],"from":[19,23],"'lme4'":[20],"and":[21,28,45,54],"lme()":[22],"'nlme'":[24],"into":[25],"tables,":[26],"equations,":[27],"visuals.":[29],"Outputs":[30],"can":[31],"be":[32],"used":[33],"to":[34,37,46],"learn":[35],"how":[36],"fit":[38],"in":[43,51],"'R'":[44],"communicate":[47],"about":[48],"these":[49],"presentations,":[52],"manuscripts,":[53],"analysis":[55],"plans.":[56]},"counts_by_year":[],"updated_date":"2026-08-24T07:32:12.397491","created_date":"2024-09-26T00:00:00"}
