handcock Goto Github PK
Name: Mark S. Handcock
Type: User
Company: University of California - Los Angeles
Bio: Distinguished Professor of Statistics, UCLA
Location: Los Angeles
Name: Mark S. Handcock
Type: User
Company: University of California - Los Angeles
Bio: Distinguished Professor of Statistics, UCLA
Location: Los Angeles
The materials relate to the paper: Exposure Notification System activity as a leading indicator for SARS-COV-2 caseload forecasting by Sepideh Mazrouee1, Eliah Aronoff-Spencer, Rishi Graham, Mark S. Handcock, Kevin Nguyen, Camille Nebeker, Mohsen Malekinejad, and Christopher A. Longhurst, to appear in PLOS ONE in 2023.
These are the code used in the paper "A Framework for the Comparison of Maximum Pseudo Likelihood and Maximum Likelihood Estimation of Exponential Family Random Graph Models" by Marijtje A van Duijn; Krista J Gile and Mark S. Handcock
This is an R package to implement relative distribution methods. These methods are described in the book Relative Distribution Methods in the Social Sciences, by Mark S. Handcock and Martina Morris, Springer-Verlag, Inc., New York, 1999 ISBN 0387987789.
R package "rpm": Modeling of Revealed Preferences Matchings
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