Package: suddengains
Title: Identify Sudden Gains in Longitudinal Data
Date: 2019-05-21
Version: 0.2.1
Authors@R: c(
  person("Milan", "Wiedemann", email = "milan.wiedemann@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1991-282X")),
  person("Graham M", "Thew", role = "ctb", comment = c(ORCID = "0000-0003-2851-1315")),
  person("Richard", "Stott", role = "ctb", comment = c(ORCID = "0000-0003-2533-5504")),
  person("Anke", "Ehlers", role = c("ctb", "ths"), comment = c(ORCID = "0000-0002-8742-0192"))
  )
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.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/milanwiedemann/suddengains
BugReports: https://github.com/milanwiedemann/suddengains/issues
LazyData: true
Imports: dplyr (>= 0.8.0), tibble (>= 2.1.1), magrittr (>= 1.5), rlang
        (>= 0.3.4), stringr (>= 1.4.0), ggplot2 (>= 3.1.1), psych (>=
        1.8.12), readr (>= 1.3.1), tidyr (>= 0.8.2), ggrepel (>= 0.8.0)
Suggests: haven (>= 2.1.0), writexl (>= 1.1.0), knitr (>= 1.21), DT (>=
        0.5), rmarkdown (>= 1.11), spelling (>= 2.1)
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2019-05-21 13:35:13 UTC; milanwiedemann
Author: Milan Wiedemann [aut, cre] (<https://orcid.org/0000-0003-1991-282X>),
  Graham M Thew [ctb] (<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>)
Maintainer: Milan Wiedemann <milan.wiedemann@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-21 13:50:03 UTC
