EducationalTestingService / factor_analyzerLinks
A Python module to perform exploratory & confirmatory factor analyses.
☆252Updated 4 months ago
Alternatives and similar repositories for factor_analyzer
Users that are interested in factor_analyzer are comparing it to the libraries listed below
Sorting:
- Bayesian Additive Regression Trees For Python☆228Updated last year
- scikit-learn compatible implementation of stability selection.☆212Updated 2 years ago
- Python package for Imputation Methods☆248Updated last year
- Generalized Linear Models in Sklearn Style☆128Updated 5 years ago
- ☆289Updated last year
- A power-full Shapley feature selection method.☆208Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 2 years ago
- Functional Data Analysis Python package☆326Updated this week
- Python package for missing-data imputation with deep learning☆149Updated 9 months ago
- Generalized linear mixed-effect model in Python☆178Updated 6 years ago
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- Python module for machine learning time series:☆576Updated 2 years ago
- Data imputations library to preprocess datasets with missing data☆359Updated 3 years ago
- Time Series Cross-Validation -- an extension for scikit-learn☆256Updated 2 years ago
- Mixed Effects Random Forest☆229Updated 11 months ago
- PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io☆353Updated 11 months ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆266Updated 10 months ago
- Multiple Imputation with LightGBM in Python☆380Updated 10 months ago
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- Multiple Pairwise Comparisons (Post Hoc) Tests in Python☆367Updated last month
- Basis expansion transformers in sklearn style.☆97Updated 5 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆616Updated last year
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆150Updated last year
- BATS and TBATS forecasting methods☆182Updated 2 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- Genetic feature selection module for scikit-learn☆323Updated last year
- A Python package for propensity score matching☆53Updated 3 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆411Updated last year
- Additional linear models including instrumental variable and panel data models that are missing from statsmodels.☆988Updated 2 weeks ago
- Time Series Forecasting with LightGBM☆84Updated 2 years ago