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Alto

'alto' is an R package that aligns topics from different LDA models, computes metrics for quantifying the goodness of alignment, and provides visualization functions to explore the alignment and robustness of topics across environments or LDA hyper-parameters.

Install / Use

/learn @lasy/Alto
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

<!-- README.md is generated from README.Rmd. Please edit that file -->

alto

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alto is an R package for aligning topics across a collection of LDA models. It provides functions to support the most common tasks in the analysis workflow,

  • run_lda_models() fits a collection of LDA models across resolution levels
  • align_topics() aligns topics across a collection of LDA models
  • topics() provides metrics of alignment quality
  • plot() shows the flow of alignment weight across resolution levels
  • plot_beta() shows the topics associated with each underlying model

Alignment can be used for (multiresolution) exploratory analysis. By highlighting topics that are robust across choices of K, it can also support evaluation of LDA models.

<figure> <img src="man/figures/README-alignment-viz-2.png" width="75%"/> <figcaption>

The figure above shows an example alignment between topic models. See the vignette “Using alto on vaginal microbiome data” to reproduce this figure.

</figcaption> </figure>

Installation

<!-- You can install the released version of alto from [CRAN](https://CRAN.R-project.org) with: --> <!-- ``` r --> <!-- install.packages("alto") --> <!-- ``` --> <!-- And -->

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("lasy/alto")

Help

We welcome questions and comments about the package either through github or email.

View on GitHub
GitHub Stars18
CategoryDevelopment
Updated11d ago
Forks3

Languages

R

Security Score

80/100

Audited on Mar 24, 2026

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