Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: mplusautomation

gabrielalsuarez/MTwiNS_Neighborhood_Social_Processes

Computed multiple regression models in R using the packages Neuropointillist and MplusAutomation for a project examining neighborhood social processes and amygdala reactivity.

Language: R - Size: 2.66 MB - Last synced: 5 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

garberadamc/project-site

Projects & teaching materials.

Language: HTML - Size: 81.8 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 4 - Forks: 1

immerse-ucsb/intro_to_rstudio Fork of dinanajiarch/intro_to_rstudio

This walkthrough is presented by the IMMERSE team and will go through some common tasks carried out in R.

Language: HTML - Size: 7.62 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

immerse-ucsb/3-Step-ML-auto

This R tutorial automates the 3-step ML auxiliary variable procedure using the MplusAutomation package (Hallquist & Wiley, 2018) to estimate models and extract relevant parameters. To learn more about auxiliary variable integration methods and why multi-step methods are necessary for producing un-biased estimates see Asparouhov & Muthén (2014).

Size: 2.74 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

immerse-ucsb/BCH-MplusAuto

This `R` tutorial automates the BCH two-step axiliary variable procedure (Bolk, Croon, Hagenaars, 2004) using the `MplusAutomation` package (Hallquist & Wiley, 2018) to estimate models and extract relevant parameters.

Size: 1.08 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

immerse-ucsb/quick-lca-mplusauto

Demonstrate the speed of running an LCA analysis using MplusAutomation

Size: 1.02 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

joshunrau/MplusLGM 📦

An extension of the MplusAutomation package, MplusLGM is designed to facilitate the implementation of mixture models in Mplus.

Language: R - Size: 492 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 4 - Forks: 1

PamelaInostroza/Master-s-thesis

Civic education is an important subject for every citizen in our modern society. It is important that every individual acknowledge the importance of civil rights and obligations. One of the most commented topics is how society faces and behaves towards the great diversity of individuals and cultures. Students are a great population to be studied as they are forming their own mindset and attitudes. Using ICCS 2016, an international large-scale assessment, it is possible to identify which are the most common patterns among students’ attitudes considering different aspects of equality towards women and ethnic and racial groups. As expected, the larger subpopulation is composed of students that share a high chance to accept and promote equality towards women and ethnics groups. Nonetheless, there is a number of students that tend to disagree with this equality. Another set of students shares a high level of agreement with both groups’ equal rights but disagree with their political role in society. In the case of gender equality, there is a group of students that shares a high level of agreement towards equality in basic rights but in favor of men when competing for jobs or political roles. Another pattern identified for ethnic and racial groups equality is a group of students that disagree with their equal right to have good jobs. These patterns are similar across the 14 countries studied in Europe, but they differ in the number of individuals in each pattern.

Language: R - Size: 154 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

ewancarr/mediator-overlap

Code used for the analysis in "Discernment of Mediator and Outcome Measurement in the PACE trial"

Language: R - Size: 205 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

ewancarr/semantics-mplusautomation

More efficient SEM via R? SEMantics presentation, 16th March 2021

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