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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.
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Package details |
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| Author | Milan Wiedemann [aut, cre] (<https://orcid.org/0000-0003-1991-282X>), Graham M Thew [aut] (<https://orcid.org/0000-0003-2851-1315>), Richard Stott [ctb] (<https://orcid.org/0000-0003-2533-5504>), Anke Ehlers [ctb, ths] (<https://orcid.org/0000-0002-8742-0192>), Mental Health Research UK [fnd], Wellcome Trust [fnd] |
| Maintainer | Milan Wiedemann <milan.wiedemann@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.7.2 |
| URL | https://milanwiedemann.github.io/suddengains/ |
| Package repository | View on CRAN |
| Installation |
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