Labo-Lacourse/stepmix

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

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dlab-berkeley/Unsupervised-Learning-in-R

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

Language: R - Size: 472 KB - Last synced at: 23 days ago - Pushed at: almost 5 years ago - Stars: 47 - Forks: 12

kim0sun/glca

An R Package for Multiple-Group Latent Class Analysis

Language: R - Size: 18.9 MB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 10 - Forks: 2

zhenkewu/baker

👩‍🍳 🥧 Bayesian Analysis Kit for Etiology Research via Nested Partially Latent Class Models

Language: C++ - Size: 146 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 9

hyunsooseol/snowRMM

Latent Class Analysis(LCA), LCA for ordinal indicators, Latent class growth modeling, Laten Profile Analysis, Rasch model, Linear Logistic Test Model, Rasch mixture model, linear and equipercentile equating can be performed within module.

Language: R - Size: 35.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 2

QMUL/poLCAParallel Fork of dlinzer/poLCA

C++ Implementation of poLCA (R package)

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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).

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linhx25/MNLogit-zoo

Python implementation of Multinomial Logit Model

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gsfeir/GBM-LCCM

Estimation of Gaussian Bernoulli Mixture - Latent Class Choice Models (GBM-LCCM) using the Expectation Maximization (EM) algorithm

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omariosc/survival-analysis

Survival Analysis with Neural Networks

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

FreddieTAFreeth/LCA-Philippines-Diagnostics

Investigating the efficacy of diagnostic kits used for parasitic disease surveillance in the Philippines.

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immerse-ucsb/immerse-ucsb.github.io

GH pages repository to host all tutorial scripts as websites for sharing (PDF/HTML formats).

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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.

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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.

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nzbri/wtar-trajectory

Language: TeX - Size: 4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

tengfei-emory/timeregLC

A Time-Dependent Structural Model Between Latent Classes and Competing Risks Outcomes

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akshayratnawat/Latent_Class_Analysis

Latent Class Analysis on German Credit Data Set to find the latent variables affecting the credit outcomes and behaviour

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PiotrTymoszuk/FGFR-BLCA

Genetic alterations and expression of genes coding for FGF ligands and FGF reseptors in urothelial cancer

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niekdt/meanvar-clustering-longitudinal-data

Supplementary materials for the manuscript "Latent-class trajectory modeling with a heterogeneous mean-variance relation" by N. G. P. Den Teuling, F. Ungolo, S.C. Pauws, and E.R. van den Heuvel

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joaquinprada/Schisto-CCA-reproducibility

Code for evaluating the reproducibility of the POC-CCA diagnostic for Schistosomiasis across two settings in Uganda

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joaquinprada/Fluke-MF-FF-SED-Comparison

Code for comparing three different diagnostics in the detection of two ruminant flukes in the South of Italy

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immerse-ucsb/quick-lca-mplusauto

Demonstrate the speed of running an LCA analysis using MplusAutomation

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Cyanjiner/stat-consulting

This is a statistical analysis research project on Analyzing Client Behavior in The Connection, sponsored by the Connection Inc. and Wesleyan Quantitative Analysis Center.

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kim0sun/np-re

Nonparametric Random Effect via Latent Class Variable

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mmuratardag/DS_Covid_DE_vote

The project uncovers distinct groups of voter profiles utilizing COVID-19 orientations in a representative sample of German voters. The distinct groups in the population differ in their beliefs towards the effectiveness of government measures, compliance with a possible curfew, and trust in various institutions.

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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.

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tengfei-emory/SLTCA

SLTCA: Scalable and Robust Latent Trajectory Class Analysis Using Artificial Likelihood

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zhenkewu/rewind

⏪ R package for: Reconstructing Etiology with Binary Decomposition

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mukeshmk/exactICLforLCA Fork of Manasimohan/exactICLforLCA

Exact ICL for LCA

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