A 'shiny' application to automate forward and back survey translation
    with optional reconciliation using large language models (LLMs). Supports
    both item-by-item and batch translation modes for optimal performance and
    context-aware translations. Handles multi-sheet Excel files and supports
    OpenAI (GPT), Google Gemini, and Anthropic Claude models. 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.

Fit Cox proportional hazards relational event models (REMs),
    including a separable formulation that partitions events into initiation
    and continuation sub-models. Optionally augments REM simulations with
    large language model (LLM) agents that select targets conditioned on
    event history, supporting multiple providers ('OpenAI', 'Anthropic',
    'xAI'/'Grok', 'Google Gemini', 'Ollama', 'AWS Bedrock') through a common
    interface. See Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x>
    for description of relational event modeling.

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>.