Package: stepmixr 0.1.2
Charles-Édouard Giguère
stepmixr: Interface to 'Python' Package 'StepMix'
This is an interface for the 'Python' package 'StepMix'. It is 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 based on pseudolikelihood theory. Additional features include support for covariates and distal outcomes, various simulation utilities, and non-parametric bootstrapping, which allows inference in semi-supervised and unsupervised settings.
Authors:
stepmixr_0.1.2.tar.gz
stepmixr_0.1.2.zip(r-4.5)stepmixr_0.1.2.zip(r-4.4)stepmixr_0.1.2.zip(r-4.3)
stepmixr_0.1.2.tgz(r-4.4-any)stepmixr_0.1.2.tgz(r-4.3-any)
stepmixr_0.1.2.tar.gz(r-4.5-noble)stepmixr_0.1.2.tar.gz(r-4.4-noble)
stepmixr_0.1.2.tgz(r-4.4-emscripten)stepmixr_0.1.2.tgz(r-4.3-emscripten)
stepmixr.pdf |stepmixr.html✨
stepmixr/json (API)
| # Install 'stepmixr' in R: |
| install.packages('stepmixr', repos = c('https://labo-lacourse.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/labo-lacourse/stepmixr/issues
Last updated 7 months agofrom:ca9cc62cb1. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Exports:bakk_measurementsbootstrapbootstrap_statscheck_pystepmix_versiondata_bakk_completedata_bakk_covariatedata_bakk_responsedata_gaussian_diagdata_generation_gaussianfitidentify_coefinstall.stepmixloadfitmixed_descriptorpredict_probarandom_nansavefitstepmix
Dependencies:herejsonlitelatticeMatrixpngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Non-parametric bootstrap of StepMix estimator. | bootstrap bootstrap.stepmix.stepmix.StepMix |
| Non-parametric boostrap of StepMix estimator. | bootstrap_stats bootstrap_stats.stepmix.stepmix.StepMix |
| Series of function to simulate data. | bakk_measurements data_bakk_complete data_bakk_covariate data_bakk_response data_gaussian_diag data_generation_gaussian random_nan |
| Fit a mixture using the stepmix python package. | fit identify_coef print.stepmix.stepmix.StepMix |
| Install stepmix python package into python via reticulate. | check_pystepmix_version install.stepmix |
| Utility function for mixture using mixed description. | mixed_descriptor |
| Predict the membership (probabilities) using the fit of the stepmix python package. | predict.stepmix.stepmix.StepMix predict_proba predict_proba.stepmix.stepmix.StepMix |
| Save the fit of a mixture using the stepmix python package. | loadfit savefit |
| R interface to stepmix in StepMix python. | stepmix |
