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suddengains  

Identify Sudden Gains in Longitudinal Data
View on CRAN: Click here


Download and install suddengains package within the R console
Install from CRAN:
install.packages("suddengains")

Install from Github:
library("remotes")
install_github("cran/suddengains")

Install by package version:
library("remotes")
install_version("suddengains", "0.7.2")



Attach the package and use:
library("suddengains")
Maintained by
Milan Wiedemann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-03
Latest Update: 2023-02-28
Description:
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.
How to cite:
Milan Wiedemann (2019). suddengains: Identify Sudden Gains in Longitudinal Data. R package version 0.7.2, https://cran.r-project.org/web/packages/suddengains. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2019-05-03 14:40), 0.2.0 (2019-05-11 18:40), 0.2.1 (2019-05-21 15:50), 0.3.0 (2019-08-20 14:40), 0.3.1 (2019-09-24 10:20), 0.4.0 (2019-10-27 12:20), 0.4.2 (2020-03-10 15:40), 0.4.3 (2020-03-15 02:20), 0.4.4 (2020-05-23 00:40), 0.6.0 (2023-01-31 20:50), 0.6.1 (2023-02-01 17:20), 0.7.2 (2023-02-28 09:30)
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Complete documentation for suddengains
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