Bayesian inference on the (discrete) power spectrum of time series.

Build and use B-splines for interpolation and regression.
  In case of regression, equality constraints as well as monotonicity
  and/or positivity of B-spline weights can be imposed. Moreover, 
  knot positions can be on regular grid or be part of 
  optimized parameters too (in addition to the spline weights).
  For this end, 'bspline' is able to calculate
  Jacobian of basis vectors as function of knot positions. User is provided with 
  functions calculating spline values at arbitrary points. These 
  functions can be differentiated and integrated to obtain B-splines calculating 
  derivatives/integrals at any point. B-splines of this package can 
  simultaneously operate on a series of curves sharing the same set of 
  knots. 'bspline' is written with concern about computing 
  performance that's why the basis and Jacobian calculation is implemented in C++.
  The rest is implemented in R but without notable impact on computing speed.

The Bootstrap framework lets you add some JavaScript functionality to your web site by
  adding attributes to your HTML tags - Bootstrap takes care of the JavaScript
  <https://getbootstrap.com/docs/3.3/javascript/>. If you are using R Markdown or Shiny, you can
  use these functions to create collapsible sections, accordion panels, modals, tooltips,
  popovers, and an accordion sidebar framework (not described at Bootstrap site).
  Please note this package was designed for Bootstrap 3.3.

Enables binary package installations on Linux distributions.
    Provides functions to manage packages via the distribution's package
    manager. Also provides transparent integration with R's install.packages()
    and a fallback mechanism. When installed as a system package, interacts
    with the system's package manager without requiring administrative
    privileges via an integrated D-Bus service; otherwise, uses sudo.
    Currently, the following backends are supported: DNF, APT, ALPM.