The objective of this package is to perform inference using
    an expressive statistical grammar that coheres with the tidy design
    framework.

An R package for inferring cell-type specific gene regulatory network from single-cell RNA-seq data.

Provides lightweight R wrappers for querying and listing models
    from several hosted foundation model inference platforms, currently
    including Google Gemini, Groq, OpenRouter, Cerebras, and Ollama Cloud.
    The package is designed for simple inference workflows and quick
    experimentation, with minimal abstraction and a consistent interface
    across providers. It includes helper functions for model discovery, text
    generation, embeddings, image generation, and multimodal inputs, while
    leaving room for future support of provider-specific parameters and
    advanced options.

Functions to make inference about the 
        standardized mortality ratio (SMR) when evaluating the
        effect of a screening program. The package is
        based on methods described in Sasieni (2003) 
        <doi: 10.1097/00001648-200301000-00026> and 
        Talbot et al. (2011) <doi: 10.1002/sim.4334>.

Provides methods for estimating causal effects in the presence of interference described in  B. Saul and M. Hugdens (2017) <doi:10.18637/jss.v082.i02>. Currently it implements the inverse-probability weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele (2012) <doi:10.1177/0962280210386779>.

Variance-aware Michaelis-Menten estimation, model screening,
    grouped enzyme-kinetic analyses, and clustered repeated-measurement
    workflows. The package implements profile-score estimators under
    working variance functions, together with a lightweight cluster-aware
    working-covariance extension, Wald and bootstrap confidence intervals,
    prediction utilities, and simulation helpers. Related methodology is
    discussed by Kim and Ma (2012) <doi:10.1007/s10463-011-0332-y>, Kim
    (2023) <doi:10.1002/sta4.606>, and Ma and Genton (2010)
    <doi:10.1111/j.1467-9868.2010.00741.x>.