A collection of large language model (LLM) text analysis methods
  designed with psychological data in mind. Currently, LLMing (aka "lemming")
  includes a text anomaly detection method based on the angle-based subspace
  approach described by Zhang, Lin, and Karim (2015)
  <doi:10.1016/j.ress.2015.05.025>.

Provides a unified interface to large language models across multiple
  providers. Supports text generation, structured output with optional JSON
  Schema validation, and embeddings. Includes tidyverse-friendly helpers,
  chat session, consistent error handling, and parallel batch tools.

A 'shiny' application to automate forward and back survey translation
    with optional reconciliation using large language models (LLMs). Supports
    OpenAI (GPT), Google Gemini, and Anthropic Claude models. It follows
    the TRAPD (Translation, Review, Adjudication, Pretesting, Documentation)
    framework and ISPOR (International Society for Pharmacoeconomics and
    Outcomes Research) recommendations. See Harkness et al. (2010)
    <doi:10.1002/9780470609927.ch7> and Wild et al. (2005)
    <doi:10.1111/j.1524-4733.2005.04054.x>.

Density, distribution function, quantile function and random generation for the L-Logistic distribution with parameters m and phi. The parameter m is the median of the distribution.

Originally design to characterise Aqueous Two Phase Systems, LLSR provide a simple way to analyse experimental data and obtain phase diagram parameters, among other properties, systematically. The package will include (every other update) new functions in order to comprise useful tools in liquid-liquid extraction research.

Adds standardized regression coefficients to objects created by 'lm'. Also extends the S3 methods 'print', 'summary' and 'coef' with additional boolean argument 'standardized' and provides 'xtable'-support.

Exact significance tests for a changepoint in linear or multiple linear regression.  
  Confidence regions with exact coverage probabilities for the changepoint.  Based on 
  Knowles, Siegmund and Zhang (1991) <doi:10.1093/biomet/78.1.15>.