The Python code for this paper can all be found in ./src/code/data.R.
It relies on pandas for general data manipulation, seaborn for
visualization, numpy for auxiliary functions like cumsum, and statsmodels
for regression and other modelling.
Similarly, the R code for this paper is at ./src/code/data.R.
It relies on the libraries hdrcde, for conditional kernel density estimation
with the cde function,
climod, for integrating that density with pdf2cdf, and
sfsmisc for integration of generic densities with integrate.xy.
R libraries have better facilities than Python for KDE as of 2023.
The LaTeX code for this paper should be built with LuaLaTeX or XeLaTeX because
it relies on the unicode-math library for modern mathematical symbols.
It is compiled with Tectonic,
with file structure described in Tectonic.toml.
This repository can be built with
Rscript ./src/code/*.R
tectonic -X build
or with nix build, which will automatically pull in all dependencies
and offers improved reproducibility.
The devshell for this repository is most easily used with nix-direnv, which can be set up with home-manager:
...
programs.direnv = {
enable = true;
nix-direnv.enable = true;
};
...
On non-NixOS systems, home-manager can be installed as described in its manual; i.e., run
nix flake new ~/.config/nixpkgs -t github:nix-community/home-manager
nix build --no-link path:~/.config/nixpkgs#homeConfigurations.jdoe.activationPackage
"$(nix path-info path:~/.config/nixpkgs#homeConfigurations.jdoe.activationPackage)"/activate
home-manager switch --flake 'path:~/.config/nixpkgs#jdoe'