This is an interface for the 'python' package 'stepmix'. This is a package multi-step estimation of latent class models with measurement and structural components. The package can also be used to fit mixture models with various observed random variables. Largely based on Bakk & Kuha (2018) <doi:10.1007/s11336-017-9592-7>.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | reticulate (≥ 1.8) |
| Published: | 2022-11-18 |
| Author: | Charles-Édouard Giguère [aut, cre], Sacha Morin [aut], Robin Legault [aut] |
| Maintainer: | Charles-Édouard Giguère <ce.giguere at gmail.com> |
| License: | GPL-2 |
| URL: | https://github.com/Labo-Lacourse/stepmixr |
| NeedsCompilation: | no |
| CRAN checks: | stepmixr results |
| Reference manual: | stepmixr.pdf |
| Package source: | stepmixr_0.1.0.tar.gz |
| Windows binaries: | r-devel: stepmixr_0.1.0.zip, r-release: stepmixr_0.1.0.zip, r-oldrel: stepmixr_0.1.0.zip |
| macOS binaries: | r-release (arm64): stepmixr_0.1.0.tgz, r-oldrel (arm64): stepmixr_0.1.0.tgz, r-release (x86_64): stepmixr_0.1.0.tgz, r-oldrel (x86_64): stepmixr_0.1.0.tgz |
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