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Purpose

This is package for UW BIOST 561 (Spring 2024), taught by Kevin Lin.

How to install

This package is called modelLong. To install, run the following code (in R):

library(devtools)
devtools::install_github("alejandroh3005/modelLong")

Upon completion, you can run the following code (in R):

library(modelLong)

Dependencies

The package depends on the following packages: dplyr, ggplot2, gtsummary, nlme, and geepack.

Session info

This package was developed in the following environment

> devtools::session_info()
─ Session info ───────────────────────────────────
 setting  value
 version  R version 4.2.2 (2022-10-31 ucrt)
 os       Windows 10 x64 (build 18362)
 system   x86_64, mingw32
 ui       RStudio
 language (EN)
 collate  English_United States.utf8
 ctype    English_United States.utf8
 tz       America/Los_Angeles
 date     2024-06-07
 rstudio  2023.06.1+524 Mountain Hydrangea (desktop)
 pandoc   NAPackages ───────────────────────────────────────
 package       * version date (UTC) lib source
 broom.helpers   1.14.0  2023-08-07 [1] CRAN (R 4.2.3)
 cachem          1.0.8   2023-05-01 [1] CRAN (R 4.2.3)
 cli             3.6.1   2023-03-23 [1] CRAN (R 4.2.3)
 colorspace      2.1-0   2023-01-23 [1] CRAN (R 4.2.2)
 devtools        2.4.5   2022-10-11 [1] CRAN (R 4.2.3)
 digest          0.6.33  2023-07-07 [1] CRAN (R 4.2.3)
 dplyr         * 1.1.3   2023-09-03 [1] CRAN (R 4.2.3)
 ellipsis        0.3.2   2021-04-29 [1] CRAN (R 4.2.2)
 fansi           1.0.4   2023-01-22 [1] CRAN (R 4.2.2)
 fastmap         1.1.1   2023-02-24 [1] CRAN (R 4.2.2)
 fs              1.6.3   2023-07-20 [1] CRAN (R 4.2.3)
 generics        0.1.3   2022-07-05 [1] CRAN (R 4.2.2)
 ggplot2       * 3.4.4   2023-10-12 [1] CRAN (R 4.2.3)
 glue            1.6.2   2022-02-24 [1] CRAN (R 4.2.2)
 gt              0.10.1  2024-01-17 [1] CRAN (R 4.2.3)
 gtable          0.3.4   2023-08-21 [1] CRAN (R 4.2.3)
 gtsummary     * 1.7.2   2023-07-15 [1] CRAN (R 4.2.3)
 htmltools       0.5.8   2024-03-25 [1] CRAN (R 4.2.3)
 htmlwidgets     1.6.4   2023-12-06 [1] CRAN (R 4.2.3)
 httpuv          1.6.15  2024-03-26 [1] CRAN (R 4.2.3)
 knitr           1.44    2023-09-11 [1] CRAN (R 4.2.3)
 later           1.3.2   2023-12-06 [1] CRAN (R 4.2.3)
 lifecycle       1.0.4   2023-11-07 [1] CRAN (R 4.2.3)
 magrittr        2.0.3   2022-03-30 [1] CRAN (R 4.2.2)
 memoise         2.0.1   2021-11-26 [1] CRAN (R 4.2.2)
 mime            0.12    2021-09-28 [1] CRAN (R 4.2.0)
 miniUI          0.1.1.1 2018-05-18 [1] CRAN (R 4.2.3)
 munsell         0.5.0   2018-06-12 [1] CRAN (R 4.2.2)
 pillar          1.9.0   2023-03-22 [1] CRAN (R 4.2.3)
 pkgbuild        1.4.4   2024-03-17 [1] CRAN (R 4.2.3)
 pkgconfig       2.0.3   2019-09-22 [1] CRAN (R 4.2.2)
 pkgload         1.3.4   2024-01-16 [1] CRAN (R 4.2.3)
 profvis         0.3.8   2023-05-02 [1] CRAN (R 4.2.3)
 promises        1.2.1   2023-08-10 [1] CRAN (R 4.2.3)
 purrr           1.0.2   2023-08-10 [1] CRAN (R 4.2.3)
 R6              2.5.1   2021-08-19 [1] CRAN (R 4.2.2)
 Rcpp            1.0.11  2023-07-06 [1] CRAN (R 4.2.3)
 remotes         2.5.0   2024-03-17 [1] CRAN (R 4.2.3)
 rlang           1.1.1   2023-04-28 [1] CRAN (R 4.2.3)
 rstudioapi      0.15.0  2023-07-07 [1] CRAN (R 4.2.3)
 scales          1.2.1   2022-08-20 [1] CRAN (R 4.2.2)
 sessioninfo     1.2.2   2021-12-06 [1] CRAN (R 4.2.3)
 shiny           1.8.1.1 2024-04-02 [1] CRAN (R 4.2.2)
 stringi         1.7.12  2023-01-11 [1] CRAN (R 4.2.2)
 stringr         1.5.0   2022-12-02 [1] CRAN (R 4.2.2)
 tibble          3.2.1   2023-03-20 [1] CRAN (R 4.2.3)
 tidyr           1.3.0   2023-01-24 [1] CRAN (R 4.2.2)
 tidyselect      1.2.0   2022-10-10 [1] CRAN (R 4.2.2)
 urlchecker      1.0.1   2021-11-30 [1] CRAN (R 4.2.3)
 usethis         2.2.3   2024-02-19 [1] CRAN (R 4.2.3)
 utf8            1.2.3   2023-01-31 [1] CRAN (R 4.2.2)
 vctrs           0.6.3   2023-06-14 [1] CRAN (R 4.2.3)
 withr           3.0.0   2024-01-16 [1] CRAN (R 4.2.3)
 xfun            0.40    2023-08-09 [1] CRAN (R 4.2.3)
 xml2            1.3.5   2023-07-06 [1] CRAN (R 4.2.3)
 xtable          1.8-4   2019-04-21 [1] CRAN (R 4.2.2)

 [1] /R/win-library/4.2
 [2] /R/R-4.2.2/library
──────────────────────────────────────────────────

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R package for easy model fitting and visualization for longitudinal data

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