factoextra — R package for extracting and visualizing multivariate analysis results with ggplot2. Covers PCA (fviz_pca_ind, fviz_pca_var, fviz_pca_biplot), CA (fviz_ca_row, fviz_ca_col, fviz_ca_biplot
Use with AI
Install the MCP server or CLI to instantly fetch factoextra documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/factoextra
netneurotools (NetNeuroTools) for network neuroscience workflows: dataset fetchers for canonical brain templates and atlases, graph construction and consensus network methods, modularity consensus clu
1 shared topic • 2 shared operations
UMAP — Uniform Manifold Approximation and Projection for dimension reduction. Constructs a fuzzy topological representation of high-dimensional data and optimizes a low-dimensional layout preserving t
1 shared topic • 2 shared operations
cmprsk — Subdistribution Analysis of Competing Risks. R package providing non-parametric cumulative incidence estimation via cuminc() with Gray's K-sample test for group comparisons, Fine & Gray propo
1 shared topic • 1 shared operation
DAGitty — graphical analysis of causal models using directed acyclic graphs (DAGs). Create DAGs with dagitty(), identify minimal adjustment sets for unbiased causal effect estimation (adjustmentSets),
1 shared topic • 1 shared operation
glmmTMB — R package for fitting generalized linear mixed models (GLMMs) and extensions using Template Model Builder. Supports zero-inflation via ziformula, dispersion modeling via dispformula, and 15+
1 shared topic • 1 shared operation