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capybara 0.9.1
- Fixes a minor uninitialized variable in the C++ code used for a
conditional check.
capybara 0.9
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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.