Personal wiki engine with a large language model (LLM) as
    research assistant. Supports guided sessions through a 'Claude Code'
    <https://github.com/anthropics/claude-code> skill bundle and
    autonomous research runs from R via autoresearch(). Results land in
    a structured vault of markdown pages with 'YAML' frontmatter and
    wikilinks, ready for hand-editing in your favourite editor
    alongside the LLM. Vaults are seeded with 'CLAUDE.md' and
    'AGENTS.md' so 'Claude Code', 'Codex'
    <https://github.com/openai/codex>, and other agents share the same
    operating instructions. Can adopt an existing 'Obsidian'
    <https://obsidian.md/> vault in place via init_vault(adopt = TRUE).

Robust penalized (adaptive) elastic net S and M estimators for
    linear regression. The adaptive methods are proposed in
    Kepplinger, D. (2023) <doi:10.1016/j.csda.2023.107730> and the
    non-adaptive methods in
    Cohen Freue, G. V., Kepplinger, D., Salibián-Barrera, M., and Smucler, E.
    (2019) <doi:10.1214/19-AOAS1269>.
    The package implements robust hyper-parameter selection with robust
    information sharing cross-validation according to Kepplinger & Wei (2025)
    <doi:10.1080/00401706.2025.2540970>.

Simulation of continuous, correlated high-dimensional data with 
    time to event or binary response, and parallelized functions for Lasso, 
    Ridge, and Elastic Net penalized regression with repeated starts and 
    two-dimensional tuning of the Elastic Net.

Estimate penalized synthetic control models
    and perform hold-out validation to determine their 
    penalty parameter. This method is based on the work by
    Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>.
    Penalized synthetic controls smoothly interpolate between 
    one-to-one matching and the synthetic control method.

Data sets associated with modeling examples in Craig Starbuck's book, "The Fundamentals of People Analytics: With Applications in R".

Data sets for statistical inference modeling related to People Analytics.  
  Contains various data sets from the book 'Handbook of Regression Modeling in People Analytics' 
  by Keith McNulty (2026).