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fastTopics
View on CRAN: Click
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Download and install fastTopics package within the R console
Install from CRAN:
install.packages("fastTopics")
Install from Github:
library("remotes")
install_github("cran/fastTopics")
Install by package version:
library("remotes")
install_version("fastTopics", "0.6-192")
Attach the package and use:
library("fastTopics")
Maintained by
Peter Carbonetto
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.fastTopics . https://github.com/stephenslab/fastTopics/issues . fastTopics copyright details . https://stephenslab.github.io/fastTopics/ . https://github.com/stephenslab/fastTopics . fastTopics citation info . fastTopics results . fastTopics.pdf . fastTopics_0.6-192.tar.gz . fastTopics_0.6-192.zip . fastTopics_0.6-192.zip . fastTopics_0.6-192.zip . fastTopics_0.6-192.tgz . fastTopics_0.6-192.tgz . fastTopics_0.6-192.tgz . fastTopics_0.6-192.tgz . fastTopics archive . https://CRAN.R-project.org/package=fastTopics .
First Published: 2022-05-27
Latest Update: 2024-01-15
Description:
Implements fast, scalable optimization algorithms for
fitting topic models ("grade of membership" models) and
non-negative matrix factorizations to count data. The methods
exploit the special relationship between the multinomial topic
model (also, "probabilistic latent semantic indexing") and Poisson
non-negative matrix factorization. The package provides tools to
compare, annotate and visualize model fits, including functions to
efficiently create "structure plots" and identify key features in
topics. The 'fastTopics' package is a successor to the 'CountClust'
package. Note that the 'fastTopicis' package on GitHub has more
vignettes illustrating application to single-cell RNA-seq data.
How to cite:
Peter Carbonetto (2022). fastTopics: Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data. R package version 0.6-192, https://cran.r-project.org/web/packages/fastTopics. Accessed 05 May. 2025.
Previous versions and publish date:
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Other R packages that fastTopics depends,
imports, suggests or enhances
Complete documentation for fastTopics
Functions, R codes and Examples using
the fastTopics R package
Some associated functions: compare_fits . de_analysis . embedding_plots . embeddings_from_topics . fit_multinom_model . fit_poisson_nmf . fit_topic_model . likelihood . loadings_plot . merge_topics . multinom2poisson . pbmc_facs . plot_loglik_vs_rank . plot_progress . poisson2multinom . predict . run_homer . select_loadings . simulate_count_data . simulate_gene_data . simulate_toy_gene_data . structure_plot . summary.poisson_nmf_fit . volcano_plot .
Some associated R codes: RcppExports.R . betanmf.R . ccd.R . colors.R . datasim.R . de_analysis.R . embedding_plots.R . embeddings.R . fit_multinom_model.R . fit_poisson_nmf.R . fit_topic_model.R . homer.R . init_poisson_nmf.R . lfc.R . likelihood.R . merge_topics.R . misc.R . mixem.R . multinom2poisson.R . other_plots.R . pbmc_facs.R . pnmfem.R . poismix.R . poisson.R . poisson2multinom.R . predict.R . scd.R . select.R . structure_plot.R . summary.R . topicscore.R . verify_args.R . volcano_plots.R . zzz.R . Full fastTopics package functions and examples
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