CLOSURE: complete listing of original samples of underlying raw evidence
Implements the novel CLOSURE technique for efficiently reconstructing all possible distributions of raw data from summary statistics. It is not about the Rust feature called closure.
You will likely only need dfs_parallel().
Most of the code was written by Claude 3.5, translating Python code by Nathanael Larigaldie.
Example
Enter summary data reported in a paper and call dfs_parallel().
let min_scale = 1;
let max_scale = 7;
let n = 30;
let target_mean = 5.0;
let target_sum = target_mean * n as f64;
let target_sd = 2.78;
let rounding_error_means = 0.01;
let rounding_error_sums = rounding_error_means * n as f64;
let rounding_error_sds = 0.01;
let output_file = "parallel_results.csv";
dfs_parallel(
min_scale,
max_scale,
n,
target_sum,
target_sd,
rounding_error_sums,
rounding_error_sds,
output_file,
)