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PRODID:-//ITS Advanced Research Computing - ECPv5.1.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ITS Advanced Research Computing
X-ORIGINAL-URL:https://arc.umich.edu
X-WR-CALDESC:Events for ITS Advanced Research Computing
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TZID:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
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TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190220T130000
DTEND;TZID=America/Detroit:20190220T150000
DTSTAMP:20240718T111730
CREATED:20190108T192129Z
LAST-MODIFIED:20190118T141225Z
UID:48407-1550667600-1550674800@arc.umich.edu
SUMMARY:Generalized Additive Models
DESCRIPTION:Nonlinear relationships abound in nature\, though typical statistical models ignore this in favor of simplicity\, often at a cost of both predictive capabilities and better understanding of the underlying phenomenon of interest. One means to explore such relationships is through generalized additive models (GAM). \nThis workshop will introduce participants to GAMs as a means to extend their efforts beyond the usual GLM setting. In addition\, extensions and connections to other models will be noted (e.g. mixed and spatial). Demonstration will be conducted with R\, and the mgcv package in particular. \nLink: https://m-clark.github.io/generalized-additive-models/
URL:https://arc.umich.edu/event/generalized-additive-models-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
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