sna
145LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R sna package for social network analysis. Use for network statistics and visualization with statnet.
Comprehensive R analytics skill for Claude Code with 93 package-level skills covering data manipulation, visualization, machine learning, web development, spatial analysis, and more.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R sna package for social network analysis. Use for network statistics and visualization with statnet.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R statnet suite for network analysis. Use for statistical modeling of network data including ERGM.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R tidygraph package for tidy graph manipulation. Use for dplyr-style operations on network data.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R dynamic/temporal networks with ndtv, networkDynamic, tsna. Use for time-varying networks and network evolution.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R ndtv package for network animation. Use for visualizing and animating dynamic networks.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R networkDynamic package for temporal networks. Use for creating and manipulating dynamic/temporal networks.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R tsna package for temporal network analysis. Use for analyzing temporal paths and metrics in dynamic networks.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R network visualization with ggraph, visNetwork. Use for graph layouts and interactive networks.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R ggraph package for network visualization. Use for grammar of graphics style network plots.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R natural language processing packages. Use for text mining, sentiment analysis, topic modeling, tokenization, and text vectorization.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R sentiment analysis with tidytext, syuzhet, sentimentr. Use for sentiment scoring and emotion detection.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R sentimentr package for sentence-level sentiment. Use for polarity-based sentiment analysis with valence shifters.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R syuzhet package for sentiment analysis. Use for extracting sentiment and emotion from text.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R text mining with tidytext, tm, quanteda. Use for tokenization, TF-IDF, document-term matrices.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R hunspell package for spell checking. Use for spell checking and morphological analysis.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R quanteda package for text analysis. Use for corpus management, tokenization, and document-feature matrices.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R stringdist package for string distance. Use for approximate string matching and distance metrics.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R text2vec package for text vectorization. Use for word embeddings, GloVe, and efficient text processing.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R tidytext package for text mining. Use for tokenization, sentiment analysis, TF-IDF, and tidy text analysis.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R tm package for text mining. Use for classic text mining infrastructure and preprocessing.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R tokenizers package for text tokenization. Use for fast, consistent tokenization of text.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R LDAvis package for topic model visualization. Use for interactive visualization of LDA topic models.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R topic modeling with topicmodels, LDAvis, stm. Use for LDA, CTM, and topic visualization.
LeoLin990405/r-analytics-skill
Skill Claude CodeCodex
R stm package for structural topic models. Use for topic modeling with document-level covariates.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: