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OLStrajr
View on CRAN: Click
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Download and install OLStrajr package within the R console
Install from CRAN:
install.packages("OLStrajr")
Install from Github:
library("remotes")
install_github("cran/OLStrajr")
Install by package version:
library("remotes")
install_version("OLStrajr", "0.1.0")
Attach the package and use:
library("OLStrajr")
Maintained by
Mackson Ncube
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-19
Latest Update: 2023-06-19
Description:
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)
and Rogosa and Saner (1995) . 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.
How to cite:
Mackson Ncube (2023). OLStrajr: Ordinary Least Squares Trajectory Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/OLStrajr. Accessed 06 Oct. 2024.
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