An R package for Bayesian structural equation modeling using INLA
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Updated
Jun 5, 2024 - R
An R package for Bayesian structural equation modeling using INLA
an R package for structural equation modeling and more
Limited Information Goodness of Fit Tests for Binary Factor Models
An R package for Bayesian structural equation modeling
Rnest : An R package for the Next Eigenvalue Sufficiency Tests (NEST)
A lavaan-like syntax for structural equation models with OpenMx
Factor analysis of multi-neuron spike trains in R
Signal Cancelling Factor Analysis (SCFA)
Source code written in R to implement multivariate analysis methods. Covering principal component analysist, factor analysist, clustering, manova, and so on.
An R package for Bayesian structural equation models that account for the influence of minor factors
first business data analysis - factors affecting student satisfaction and bank clients
A package for Bayesian meta-analytic SEM
An R package with functions for generating population correlation matrices with imperfect model fit
This was a course project for the course " Multivariate Data Analysis ".
Infinite Mixtures of Infinite Factor Analysers
Stan Models for the Paired Comparison Factor Model
Segmentation of the clients of an insurance company based on the survey data received from the clients. The data contains variables such as trust, experience, hospitality, service and other such customer based information. The model uses factor analysis to find the most significant factors and then used them for the Hierarchical and K-means clus…
The model tries to predict the number of sales calls that a maintenance company might be receiving based on climatic and weather conditions. The age of the car and the duration of connection with the company are also to be considered. The model tries to explore the important factors which are significant and help in getting a high accuracy of pr…
Examining the psychometric properties of the survey items based on the responses from the patients. IRT models (graded response model, GRMs), CFA, and EFA were used for analysis
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