Provides an R interface to Python's 'pandas' library using non-standard
    evaluation. Users can write R code (e.g., rp_filter(), rp_select(), rp_mutate())
    that is translated into pandas commands and executed via 'reticulate'. Supports
    chaining, grouping, and 'summarisation', and includes a 'table_name' parameter to
    generate 'copy-pasteable' Python code. Ideal for leveraging pandas' speed and
    flexibility within the R ecosystem.

A set of functions to build simple 
        GUI controls for R functions.  These are built on the 'tcltk' package. 
        Uses could include changing a parameter on a graph by animating it 
        with a slider or a "doublebutton", up to more sophisticated control 
        panels.
        Some functions for specific graphical tasks, referred to as 'cartoons',
        are provided.

Reverses the order of values of selected variables in time series
    and multidimensional panels, either by replacing the original values or by
    creating new variables with prefixed names. Optionally evaluates
    user-supplied pre-estimation, estimation, and post-estimation functions
    using the transformed data.

Download and merge labeled single-cell RNA-seq data from the PanglaoDB <https://panglaodb.se/> into a Seurat object.

Provides a simple and efficient way to read data from Paradox 
    database files (.db) directly into R as modern 'tibble' data frames. 
    It uses the underlying 'pxlib' C library to handle the low-level file format 
    details and provides a clean, user-friendly R interface.

Recursive partitioning for classification, 
  regression and survival trees.  An implementation of most of the 
  functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.

Recursive partitioning for least absolute deviation regression trees. Another algorithm from the 1984 book by 
             Breiman, Friedman, Olshen and Stone in addition to the 'rpart' package (Breiman, Friedman, Olshen, Stone (1984, ISBN:9780412048418).

Plot 'rpart' models. Extends plot.rpart() and text.rpart()
             in the 'rpart' package.