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We also demonstrate via simulation studies that the new algorithm gives very similar results to another algorithm that has been shown empirically to be effective but that does not satisfy any descent property. We provide code for implementing the new algorithm in a publicly available R package.<\/jats:p>","DOI":"10.1093\/biomet\/asq079","type":"journal-article","created":{"date-parts":[[2011,4,29]],"date-time":"2011-04-29T03:34:53Z","timestamp":1304048093000},"page":"403-416","source":"Crossref","is-referenced-by-count":49,"title":["Maximum smoothed likelihood for multivariate mixtures"],"prefix":"10.1093","volume":"98","author":[{"given":"M.","family":"Levine","sequence":"first","affiliation":[{"name":"Department of Statistics, Purdue University, West Lafayette, Indiana 47907, U.S.A., mlevins@purdue.edu"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D. 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