seminr
Building and Estimating Structural Equation Models
A powerful, easy to syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).
- Version2.3.4
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release10/13/2024
Documentation
Team
Nicholas Patrick Danks
Soumya Ray
Show author detailsRolesAuthor, Thesis advisorAndré Calero Valdez
Show author detailsRolesAuthorJuan Manuel Velasquez Estrada
Show author detailsRolesContributorJames Uanhoro
Show author detailsRolesContributorJohannes Nakayama
Show author detailsRolesContributorLilian Koyan
Show author detailsRolesContributorLaura Burbach
Show author detailsRolesContributorArturo Heynar Cano Bejar
Show author detailsRolesContributorSusanne Adler
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 1,569 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 67 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 18,670 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was May 16, 2024 with 167 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports8 packages
- Enhances3 packages