The strip function deletes components of R model outputs that are useless for specific purposes, such as predict[ing], print[ing], summary[izing], etc.

For making Trellis-type conditioning plots without strip labels.
    This is useful for displaying the structure of results from factorial designs
    and other studies when many conditioning variables would clutter the display
    with layers of redundant strip labels. Settings of the variables are encoded by
    layout and spacing in the trellis array and decoded by a separate legend. The
    functionality is implemented by a single S3 generic strucplot() function that
    is a wrapper for the Lattice package's xyplot() function. This allows access to
    all Lattice graphics capabilities in the usual way.

Extracts plain text from RTF (Rich Text Format) file.

A collection of tools for clinical trial data management and 
    analysis in research and teaching.
    The package is mainly collected for personal use, but any use beyond that is encouraged.
    This package has migrated functions from 'agdamsbo/daDoctoR', and new functions has been added.
    Version follows months and year. See NEWS/Changelog for release notes.
    This package includes sampled data from the TALOS trial (Kraglund et al (2018) <doi:10.1161/STROKEAHA.117.020067>).
    The win_prob() function is based on work by Zou et al (2022) <doi:10.1161/STROKEAHA.121.037744>.
    The age_calc() function is based on work by Becker (2020) <doi:10.18637/jss.v093.i02>.

R Codes and Datasets for Stroup, W. W. (2012). Generalized Linear Mixed Models Modern Concepts, Methods and Applications, CRC Press.

A comprehensive set of string manipulation functions based on those found in 'Python'
    without relying on 'reticulate'. It provides functions that intend to (1) make it easier for
    users familiar with 'Python' to work with strings, (2) reduce the complexity often associated
    with string operations, (3) and enable users to write more readable and maintainable code
    that manipulates strings.