Imputation of missing numerical outcomes for a longitudinal trial 
    with protocol deviations.
    The package uses distinct treatment arm-based assumptions for the unobserved data, following 
    the general algorithm of Carpenter, Roger, and Kenward (2013) <doi:10.1080/10543406.2013.834911>, and the causal model
    of White, Royes and Best (2020) <doi:10.1080/10543406.2019.1684308>.
    Sensitivity analyses to departures from these assumptions can be done by the 
    Delta method of Roger.
    The program uses the same algorithm as the 'mimix' 'Stata' package written by Suzie Cro, 
    with additional coding for the causal model and delta method.
    The reference-based methods are jump to reference (J2R), 
    copy increments in reference (CIR), copy reference (CR),
    and the causal model, all of which must specify the reference treatment arm.
    Other methods are
    missing at random (MAR) and the last mean carried forward (LMCF). 
    Individual-specific imputation methods
    (and their reference groups) can be specified.

Reference database manager offering a set of functions
    to import, organize, clean, filter, audit and export reference genetic
    data. Provide functions to download sequence data from
    NCBI GenBank <https://www.ncbi.nlm.nih.gov/genbank/>.
    Designed as an environment for semi-automatic and assisted
    construction of reference databases and to improve standardization
    and repeatability in barcoding and metabarcoding studies.

Allows users to easily create references to R objects then
    'dereference' when needed or modify in place without using reference 
    classes, environments, or active bindings as workarounds. Users can 
    also create expression references that allow subsets of any object to 
    be referenced or expressions containing references to multiple 
    objects.

This is a collection of tools to allow the medical professional to
 calculate appropriate reference ranges (intervals) with confidence intervals around
 the limits for diagnostic purposes.