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. This work is supported by the US National Science Foundation through 
  grant numbers 1545667 and 2142087.

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>.