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OLStrajr  

Ordinary Least Squares Trajectory Analysis
View on CRAN: Click here


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
[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 Jun. 2026.
Previous versions and publish date:
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Complete documentation for OLStrajr
Functions, R codes and Examples using the OLStrajr R package
Full OLStrajr package functions and examples
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