Releases
LuaSF follows small, focused releases.
Latest reference release
The current documentation is aligned with the LuaSF release line that includes:
- Probability and combinatorics helpers
- Shape statistics helpers
- Bivariate statistics helpers
- Sampling utilities
- Student's t random variable
- Formula-based simple regression summaries
Version highlights
v0.8.0
Simple regression summaries and Student's t random variable.
Added:
lua
stats.studentTVA(df)
stats.student_t(df)
stats.t_student(df)
stats.simple_linear_regression(x, y)
stats.predict(model, x)
stats.fitted_values(model)
stats.residuals(model)Scope note:
LuaSF includes formula-based simple regression summaries, but intentionally does not provide machine learning workflows, optimization-based modeling, multiple regression, or non-linear regression fitting.
v0.7.0
Probability and combinatorics helpers.
Added:
lua
stats.factorial(n)
stats.permutations(n, r)
stats.combinations(n, r)
stats.permutations_with_repetition(n, r)
stats.combinations_with_repetition(n, r)
stats.multiset_permutations(counts)
stats.nPr(n, r)
stats.nCr(n, r)v0.6.0
Shape statistics helpers.
Added:
lua
stats.central_moment(array, order)
stats.skewness(array)
stats.kurtosis(array)
stats.excess_kurtosis(array)v0.5.0
Modular source layout and bivariate statistics helpers.
Added:
lua
stats.covariance(x, y)
stats.correlation(x, y)
stats.pearson(x, y)