Analysis of discrete response data using
    unidimensional and multidimensional item analysis models under the Item
    Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>).
    Exploratory and confirmatory item factor analysis models
	are estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory
    bi-factor and two-tier models are available for modeling item testlets using
	dimension reduction EM algorithms, while multiple group analyses and
	mixed effects designs are included for detecting differential item, bundle,
	and test functioning, and for modeling item and person covariates.
	Finally, latent class models such as the DINA, DINO, multidimensional latent class,
	mixture IRT models, and zero-inflated response models are supported, as well
	as a wide family of probabilistic unfolding models.

Provides tools to generate HTML interfaces for adaptive
    and non-adaptive tests using the shiny
    package (Chalmers (2016) <doi:10.18637/jss.v071.i05>). 
    Suitable for applying unidimensional and multidimensional
    computerized adaptive tests (CAT) using item response theory methodology and for
    creating simple questionnaires forms to collect response data directly in R.
    Additionally, optimal test designs (e.g., "shadow testing") are supported
    for tests that contain a large number of item selection constraints.
    Finally, package contains tools useful for performing Monte Carlo simulations 
    for studying test item banks.

Package for combined miRNA- and mRNA-testing.

Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M., TraumaBase Group (2020) <doi:10.1016/j.csda.2019.106907>.

Helpers for common data analysis tasks including missing-value
    summaries and filters, simple reporting and plotting utilities, 'Excel'
    import and export workflows, and reading geospatial formats (for example
    shapefiles in zip archives, file geodatabases, KMZ, and KML) via 'sf' and
    related packages. Also includes small project utilities such as creating
    directories, gitignore scaffolding, combined package loading, and optional
    'lintr' setup.