NEWS.md

In capybara: Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects

capybara 0.9.3

• 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

• 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.

capybara documentation built on April 11, 2025, 5:41 p.m.