NEWS.md
In pdwaggoner/plotGMM: Tidy Tools for Visualizing Mixture Models
title: "NEWS.md"
author: "Waggoner, Chan, Zhang"
plotmm v0.1.1
Transitioned most content from README to a vignette.
Small bug fixes, mostly with examples in R files/source. Adding \donttest{} for now. Will address in detail later; dev currently in process but required to fix by 11/20/2022
Adjusted @details for plot_mix_comps() to clarify the case where this makes sense (namely: 2-component Gaussian mixture models with equal priors and equal variances). Thanks to @pdmoerland in issue #13 for pointing this out. Dev for more complex cases is in process.
plotmm v0.1.0
Tidy Tools for Visualizing Mixture Models
The plotmm package is a substantially updated version of the plotGMM package (Waggoner and Chan). Whereas plotGMM only includes support for visualizing univariate Gaussian mixture models fit via the mixtools package, the new plotmm package supports numerous mixture model specifications from several packages (model objects).
Waggoner and Chan would like to sincerely thank Zhang for joining the team and making development of this package possible.
Key Features
Supported model objects/packages include:
mixtoolsEMClusterflexmix
Supported specifications include mixtures of:
- Univariate Gaussians
- Multivariate Gaussians
- Gammas
- Logistic regressions
- Linear regressions
- Poisson regressions
Note that though plotmm includes many updates and expanded functionality beyond plotGMM, it is under active development with support for more model objects and specifications forthcoming. Stay tuned for updates, and always feel free to open an issue ticket to share anything you'd like to see included in future versions of the package.
How do I get plotmm?
The package is available on CRAN. If you have any questions or find any bugs requiring fixing, please feel free to contact us either directly (see the DESCRIPTION for more) or by opening an issue ticket on GitHub. Thanks and enjoy!
pdwaggoner/plotGMM documentation built on Nov. 12, 2022, 4:35 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
title: "NEWS.md" author: "Waggoner, Chan, Zhang"
plotmm v0.1.1
Transitioned most content from README to a vignette.
Small bug fixes, mostly with examples in R files/source. Adding \donttest{} for now. Will address in detail later; dev currently in process but required to fix by 11/20/2022
Adjusted @details for plot_mix_comps() to clarify the case where this makes sense (namely: 2-component Gaussian mixture models with equal priors and equal variances). Thanks to @pdmoerland in issue #13 for pointing this out. Dev for more complex cases is in process.
plotmm v0.1.0
Tidy Tools for Visualizing Mixture Models
The plotmm package is a substantially updated version of the plotGMM package (Waggoner and Chan). Whereas plotGMM only includes support for visualizing univariate Gaussian mixture models fit via the mixtools package, the new plotmm package supports numerous mixture model specifications from several packages (model objects).
Waggoner and Chan would like to sincerely thank Zhang for joining the team and making development of this package possible.
Key Features
Supported model objects/packages include:
mixtoolsEMClusterflexmix
Supported specifications include mixtures of:
- Univariate Gaussians
- Multivariate Gaussians
- Gammas
- Logistic regressions
- Linear regressions
- Poisson regressions
Note that though plotmm includes many updates and expanded functionality beyond plotGMM, it is under active development with support for more model objects and specifications forthcoming. Stay tuned for updates, and always feel free to open an issue ticket to share anything you'd like to see included in future versions of the package.
How do I get plotmm?
The package is available on CRAN. If you have any questions or find any bugs requiring fixing, please feel free to contact us either directly (see the DESCRIPTION for more) or by opening an issue ticket on GitHub. Thanks and enjoy!
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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