title: Frequency alignment in MIDAS regression (midasr package)
body: <p>I am currently trying to implement a time series regression from the <code>library(midasr)</code> package.
  The dependent variable is of monthly frequency from January 2017 to December 2021, i.e., 60 months in total.
  Frequency alignment requires the high frequency independent variables to be a multiple <code>m</code> of the low frequency. <code>m</code> must be an integer and constant. I want to use weekly data, such that <code>m = 4</code>.
  My data, however, has the usual calendar weeks, i.e. 52 weeks per year or 53 for 2020. That makes 261 weeks instead of 240 when using a constant 4 weeks per month for 5 years.</p>
  <p>My questions is, is there any way to transform the weekly with 52/53 weeks per year to be constant 48 years per week?
  I do not have daily observations for most data, only the weekly ones.</p>
  <p>Thanks in advance!</p>