suddengains: Identify Sudden Gains in Longitudinal Data

Identify sudden gains based on the three criteria outlined by Tang and DeRubeis (1999) <doi:10.1037/0022-006X.67.6.894> to a selection of repeated measures. Sudden losses, defined as the opposite of sudden gains can also be identified. Two different datasets can be created, one including all sudden gains/losses and one including one selected sudden gain/loss for each case. It can extract scores around sudden gains/losses. It can plot the average change around sudden gains/losses and trajectories of individual cases.

Package details

AuthorMilan Wiedemann [aut, cre] (<>), Graham M Thew [aut] (<>), Richard Stott [ctb] (<>), Anke Ehlers [ctb, ths] (<>), Mental Health Research UK [fnd], Wellcome Trust [fnd]
MaintainerMilan Wiedemann <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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suddengains documentation built on March 7, 2023, 8:08 p.m.