Tools for downloading and analyzing CDC NHANES data, with a focus
    on analytical laboratory data.

Provides very fast read and write access to images stored in the
    NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation
    of in-memory image objects between compiled C and interpreted R code. Also
    provides a simple image viewer, and a C/C++ API that can be used by other
    packages. Not to be confused with 'RNiftyReg', which performs image
    registration and applies spatial transformations.

Provides an 'R' interface to the 'NiftyReg' image registration tools
    <https://github.com/KCL-BMEIS/niftyreg>. Linear and nonlinear registration
    are supported, in two and three dimensions.

Allows the user to implement a dark/light toggle mode in 'shiny' using the 'Nightly' 'JavaScript' library. 
    The default mode is dark/light however the user can also specify other colours.

A comprehensive suite of functions to perform and visualise 
    pairwise and network meta-analysis with aggregate binary or continuous
    missing participant outcome data. The package covers core Bayesian one-stage
    models implemented in a systematic review with multiple interventions, 
    including fixed-effect and random-effects network meta-analysis, 
    meta-regression, evaluation of the consistency assumption via the 
    node-splitting approach and the unrelated mean effects model, and 
    sensitivity analysis. Missing participant outcome data are addressed in all 
    models of the package. The robustness to primary analysis results can 
    also be investigated using a novel intuitive index. Methods to evaluate the 
    transitivity assumption quantitatively are provided. The package also offers 
    a rich, user-friendly visualisation toolkit that aids in appraising and 
    interpreting the results thoroughly and preparing the manuscript for journal 
    submission. The visualisation tools comprise the network plot, forest plots, 
    panel of diagnostic plots, heatmaps on the extent of missing participant 
    outcome data in the network, league heatmaps on estimation and prediction, 
    rankograms, Bland-Altman plot, leverage plot, deviance scatterplot, heatmap 
    of robustness, barplot of Kullback-Leibler divergence, heatmap of comparison
    dissimilarities and dendrogram of comparison clustering. The package also 
    allows the user to export the results to an Excel file at the working 
    directory.