suddengains (0.4.4)

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Identify Sudden Gains in Longitudinal Data.

Identify sudden gains based on the three criteria outlined by Tang and DeRubeis (1999) 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.

Maintainer: Milan Wiedemann
Author(s): Milan Wiedemann [aut, cre] (<>), Graham M Thew [ctb] (<>), Richard Stott [ctb] (<>), Anke Ehlers [ctb, ths] (<>), Mental Health Research UK [fnd], Wellcome Trust [fnd]

License: GPL-3

Uses: dplyr, forcats, ggplot2, ggrepel, magrittr, naniar, patchwork, psych, readr, rlang, scales, stringr, tibble, tidyr, knitr, rmarkdown, haven, DT, spelling, writexl

Released 6 days ago.

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