
Claude Skills by LeoLin990405
github.com/LeoLin990405R maptools package for spatial data tools. Use for reading/writing spatial data (deprecated, use sf).
R rgdal package for geospatial data. Use for reading/writing spatial data formats (deprecated, use sf/terra).
R rgeos package for geometry operations. Use for geometric operations on spatial data (deprecated, use sf).
R sf package for simple features. Use for vector spatial data - points, lines, polygons, and geometric operations.
R statistical packages for Bayesian analysis, optimization, and finance. Use for MCMC (Stan, JAGS), linear programming, portfolio analysis, and quantitative finance.
R MCMCpack package for MCMC sampling. Use for Markov Chain Monte Carlo methods and Bayesian inference.
R Bayesian analysis with Stan, brms, rjags. Use for MCMC, posterior inference, and hierarchical models.
R brms package for Bayesian regression. Use for fitting Bayesian models with Stan backend.
R coda package for MCMC diagnostics. Use for analyzing and diagnosing MCMC output.
R rstan package for Stan interface. Use for full Bayesian inference with Stan probabilistic programming.
R rstanarm package for applied Bayesian regression. Use for easy Bayesian models with familiar R formula syntax.
R PerformanceAnalytics package for portfolio analysis. Use for risk metrics, performance attribution, and portfolio analytics.
R quantitative finance with quantmod, PerformanceAnalytics, tidyquant. Use for stock data, portfolio analysis, and technical indicators.
R TTR package for technical trading rules. Use for technical analysis indicators and trading signals.
R quantmod package for quantitative financial modeling. Use for downloading stock data and technical analysis.
R xts package for extensible time series. Use for creating and manipulating time series objects.
R zoo package for ordered observations. Use for irregular time series and ordered indexed observations.
R ROI package for optimization infrastructure. Use for unified interface to various optimization solvers.
R optimization with ROI, lpSolve, nloptr. Use for linear programming, nonlinear optimization, and constraint solving.
R lpSolve package for linear programming. Use for solving linear and integer programming problems.
R nloptr package for nonlinear optimization. Use for solving nonlinear optimization problems with various algorithms.
R packages for time series analysis. Use for time series modeling, forecasting, and analysis.
R feasts package for time series features. Use for extracting features and visualizing time series.
R tseries package for time series analysis. Use for time series tests and GARCH models.
R syntax extensions and pipe operators. Use for magrittr pipes, functional programming, and syntax enhancements.
R magrittr package for pipe operators. Use for %>% pipe and functional programming chains.
R visualization packages. Use for static plots (ggplot2, lattice), interactive visualizations (plotly, leaflet, DT), animations (gganimate), and HTML widgets.
R animation with gganimate. Use for animated plots, transitions, and GIF/video export.
R gganimate package for animated ggplot2 plots. Use for creating animated visualizations with transitions.
R DT package for interactive data tables. Use for creating searchable, sortable, paginated HTML tables.
R DiagrammeR package for graph and diagram creation. Use for creating flowcharts, network diagrams, and Graphviz/Mermaid diagrams.
R interactive visualization with plotly, leaflet, DT, highcharter. Use for interactive charts, maps, data tables, and dashboards.
R dygraphs package for time series visualization. Use for creating interactive time series charts.
R echarts4r package for Apache ECharts. Use for interactive charts with Chinese language support.
R formattable package for formatted data structures. Use for creating colorful, formatted tables with conditional formatting.
R ggvis package for interactive graphics. Use for creating interactive web graphics with a grammar of graphics.
R heatmaply package for interactive heatmaps. Use for creating interactive clustered heatmaps with D3.js.
R highcharter package for Highcharts visualizations. Use for interactive JavaScript charts with rich features.
R leaflet package for interactive maps. Use for creating web maps with markers, polygons, tiles, and layers.
R networkD3 package for D3 network graphs. Use for force-directed, Sankey, and tree diagrams.
R plotly package for interactive visualizations. Use for creating interactive charts, 3D plots, and converting ggplot2 to interactive.
R rbokeh package for Bokeh visualizations. Use for interactive web-based plots using Bokeh.js.
R threejs package for 3D JavaScript visualizations. Use for interactive 3D scatter plots and globe visualizations.
R visNetwork package for network visualization. Use for interactive network graphs with vis.js.
R wordcloud2 package for word clouds. Use for creating interactive HTML word clouds.
R static visualization with ggplot2 and lattice. Use for scatter plots, bar charts, line graphs, histograms, box plots, and publication-quality graphics.
R corrplot package for correlation matrix visualization. Use for creating beautiful correlation heatmaps and plots.
R cowplot package for combining ggplot2 plots. Use for publication-ready multi-panel figures with shared legends.
R ggalt package for extra ggplot2 geoms. Use for lollipop charts, dumbbell plots, and encircling.
R ggdist package for distribution visualizations. Use for visualizing distributions and uncertainty.