Methods and tools for mixed frequency time series data analysis.
    Allows estimation, model selection and forecasting for MIDAS regressions.

Contains the function mice.impute.midastouch(). Technically this function is to be run from within the 'mice' package (van Buuren et al. 2011), type ??mice. It substitutes the method 'pmm' within mice by 'midastouch'. The authors have shown that 'midastouch' is superior to default 'pmm'. Many ideas are based on Siddique / Belin 2008's  MIDAS.

Provides tools and demonstrates methods for working with
    individual undergraduate student-level records (registrar's data) in
    'R'. Tools include filters for program codes, data sufficiency, and
    timely completion. Methods include gathering blocs of records,
    computing quantitative metrics such as graduation rate, and creating
    charts to visualize comparisons. 'midfieldr' interacts with practice
    data provided in 'midfielddata', an R data package available at
    <https://midfieldr.github.io/midfielddata/>.  'midfieldr' also
    interacts with the full MIDFIELD database for users who have access.
    As of the transfer of MIDFIELD to the American Society for Engineering
    Education in 2023, the development, expansion, and study of
    MIDFIELD has been supported by the National Science Foundation grants
    0337629, 0646441, 0729596, 0734062, 0835914, 0935157, 0935058,
    0969474, 1025171, 1129383, 1232740, 1329283, 1361058, 1545667,
    2142087, 2141903, and 2152441.

An implementation of a taxonomy of models of restricted diffusion
    in biological tissues parametrized by the tissue geometry (axis, diameter,
    density, etc.). This is primarily used in the context of diffusion magnetic
    resonance (MR) imaging to model the MR signal attenuation in the presence of
    diffusion gradients. The goal is to provide tools to simulate the MR signal
    attenuation predicted by these models under different experimental
    conditions. The package feeds a companion 'shiny' app available at
    <https://midi-pastrami.apps.math.cnrs.fr> that serves as a graphical
    interface to the models and tools provided by the package. Models currently
    available are the ones in Neuman (1974) <doi:10.1063/1.1680931>, Van
    Gelderen et al. (1994) <doi:10.1006/jmrb.1994.1038>, Stanisz et al. (1997)
    <doi:10.1002/mrm.1910370115>, Soderman & Jonsson (1995)
    <doi:10.1006/jmra.1995.0014> and Callaghan (1995)
    <doi:10.1006/jmra.1995.1055>.