Implements permutation tests for any test statistic and randomization scheme and constructs associated confidence intervals as described in Glazer and Stark (2024) <doi:10.48550/arXiv.2405.05238>.

A coding assistant using Perplexity's Large Language Models
    <https://www.perplexity.ai/> API. A set of functions and 'RStudio' add-ins
    that aim to help R developers.

Provides tools for fitting periodic coefficients regression models to data where periodicity plays a crucial role. It allows users to model and analyze relationships between variables that exhibit cyclical or seasonal patterns, offering functions for estimating parameters and testing the periodicity of coefficients in linear regression models. For simple periodic coefficient regression model see Regui et al. (2024) <doi:10.1080/03610918.2024.2314662>.

Tools that allow developers to write functions for prediction
    error estimation with minimal programming effort and assist users with
    model selection in regression problems.

Examples for integrating package 'perry' for prediction error estimation into regression models.

Tailoring the optimal biomarker(s) for disease screening or diagnosis based on subjects' individual characteristics.

Calculate the optimal vertex partition of a graph using the persistence as objective function.
  These subroutines have been used in Avellone et al. <doi:10.1007/s10288-023-00559-z>.

Automated identification of printed array positions from high content 
    microscopy images and the export of those positions as individual images 
    written to output as multi-layered tiff files.

Provides functions for fitting and validation of models for subgroup
    identification and personalized medicine / precision medicine under the general subgroup
    identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>.
    This package is intended for use for both randomized controlled trials and
    observational studies and is described in detail in Huling and Yu (2021) 
    <doi:10.18637/jss.v098.i05>.