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1 event found
Organiser: Thomas Yee, Department of S...
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Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland
12 - 14 February 2025
Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland https://instats.org/seminar/vector-generalized-linear-and-additive-m3?utm_source=dresa https://dresa.org.au/events/vector-generalized-linear-and-additive-models-with-thomas-yee-department-of-statistics-university-of-auckland This workshop provides a comprehensive introduction to Vector Generalized Linear and Additive Models (VGLMs and VGAMs), equipping researchers with advanced skills for analyzing complex data structures often encountered in the social, health, and natural sciences. Participants will gain practical experience using the VGAM package in R for data analysis, enhancing their ability to apply sophisticated yet easy-to-use methods for their own research projects. 2025-02-12 10:00:00 UTC 2025-02-14 13:30:00 UTC Thomas Yee, Department of Statistics, University of Auckland Instats info@instats.org [] [] [] open_to_all []
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Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland
12 - 14 February 2025
Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland https://instats.org/seminar/vector-generalized-linear-and-additive-m3?utm_source=dresa https://dresa.org.au/events/vector-generalized-linear-and-additive-models-with-thomas-yee-department-of-statistics-university-of-auckland This workshop provides a comprehensive introduction to Vector Generalized Linear and Additive Models (VGLMs and VGAMs), equipping researchers with advanced skills for analyzing complex data structures often encountered in the social, health, and natural sciences. Participants will gain practical experience using the VGAM package in R for data analysis, enhancing their ability to apply sophisticated yet easy-to-use methods for their own research projects. 2025-02-12 10:00:00 UTC 2025-02-14 13:30:00 UTC Thomas Yee, Department of Statistics, University of Auckland Instats info@instats.org [] [] [] open_to_all []
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