The 'OLStrajr' package provides comprehensive functions for ordinary least squares (OLS) trajectory analysis and case-by-case OLS regression as outlined in Carrig, Wirth, and Curran (2004) <doi:10.1207/S15328007SEM1101_9> and Rogosa and Saner (1995) <doi:10.3102/10769986020002149>. It encompasses two primary functions, OLStraj() and cbc_lm(). The OLStraj() function simplifies the estimation of individual growth curves over time via OLS regression, with options for visualizing both group-level and individual-level growth trajectories and support for linear and quadratic models. The cbc_lm() function facilitates case-by-case OLS estimates and provides unbiased mean population intercept and slope estimators by averaging OLS intercepts and slopes across cases. It further offers standard error calculations across bootstrap replicates and computation of 95% confidence intervals based on empirical distributions from the resampling processes.
Version: 0.1.0 Depends: R (≥ 2.10) Imports: boot, broom, ggplot2, purrr, tidyr, tidyselect Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2023-06-19 DOI: 10.32614/CRAN.package.OLStrajr Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd] Maintainer: Mackson Ncube <macksonncube.stats at gmail.com> BugReports: https://github.com/mightymetrika/OLStrajr/issues License: MIT + file LICENSE URL: https://github.com/mightymetrika/OLStrajr NeedsCompilation: no Materials: README, NEWS CRAN checks: OLStrajr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=OLStrajr to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4