Dear all, Missing data can seriously affect your analyses—but knowing how to handle it properly makes all the difference. Join our Introduction to Missing Data course, a practical 3-day online workshop (22–24 April, 15:00–18:00), where you’ll learn to:
Diagnose missingness mechanisms (MCAR, MAR, MNAR) Visualize and explore missing data patterns in R Apply both traditional and advanced imputation methods like Multiple Imputation, Soft Impute, and Expectation–Maximization For more information, please visit: [ https://www.physalia-courses.org/courses-workshops/missing-data-with-r/ ]( https://www.physalia-courses.org/courses-workshops/missing-data-with-r/ ) Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
