Skip to contents

Changelog

Source: NEWS.md

capybara 0.9.4

  • Allows to estimate models without fixed effects.

capybara 0.9.3

CRAN release: 2025-04-03

  • Fixes the tidy() method for linear models (felm class). Now it does not require to load the tibble package to work.
  • Adds a wrapper to present multiple models into a single table with the option to export to LaTeX.

capybara 0.9.2

  • Implements Irons and Tuck acceleration for fast convergence.

capybara 0.9.1

CRAN release: 2025-03-25

  • Fixes a minor uninitialized variable in the C++ code used for a conditional check.

capybara 0.9

  • First CRAN version

  • Refactored functions to avoid data copies:

    • center variables
    • crossprod
    • GLM and LM fit
    • get alpha
    • group sums
    • mu eta
    • variance

  • iter_center_max and iter_inner_max now can be modified in feglm_control().

capybara 0.8.0

  • Dedicated functions for linear models to avoid the overhead of running the GLM function with a Gaussian link.

capybara 0.7.0

  • The predict method now allows to pass new data to predict the outcome.
  • Fully documented code and tests according to rOpenSci standards.

capybara 0.6.0

  • Moves all the heavy computation to C++ using Armadillo and it exports the results to R. Previously, there were multiple data copies between R and C++ that added overhead to the computations.
  • The previous versions returned MX by default, now it has to be specified.
  • Adds code to extract the fixed effects with felm objects.

capybara 0.5.2

  • Uses an O(n log(n)) algorithm to compute the Kendall correlation for the pseudo-R2 in the Poisson model.

capybara 0.5.1

  • Using arma::field consistently instead of std::vector<std::vector<>> for indices.
  • Linear algebra changes, such as using arma::inv instead of solving arma::qr for the inverse.
  • Replaces multiple for loops with dedicated Armadillo functions.

capybara 0.5.0

  • Avoids for loops in the C++ code, and instead uses Armadillo’s functions.
  • O(n) computations in C++ access data directly by using pointers.

capybara 0.4.6

  • Fixes notes from tidyselect regarding the use of all_of().
  • The C++ code follows a more consistent style.
  • The GH-Actions do not test gcc 4.8 anymore.

capybara 0.4.5

  • Ungroups the data to avoid issues with the model matrix

capybara 0.4

  • Uses R’s C API efficiently to add a bit more of memory optimizations

capybara 0.3.5

  • Uses Mat consistently for all matrix operations (avoids vectors)

capybara 0.3

  • Reduces memory footprint ~45% by moving some computation to Armadillo’s side

capybara 0.2

  • Includes pseudo R2 (same as Stata) for Poisson models

capybara 0.1

  • Initial CRAN submission.