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Statistics module: descriptive statistics, probability distributions, statistical inference, and stratified experiment analysis.
Modules§
- bayesian
- Bayesian conjugate updates and posterior tail probabilities.
- causal
- Causal and quasi-experimental estimators.
- common
- Shared helpers for the statistics module.
- continuous_
distributions - Continuous distributions: exponential, uniform, log-normal, gamma, beta, and F.
- descriptive
- Descriptive statistics.
- discrete_
distributions - Discrete distributions: Poisson and negative binomial.
- distributions
- Probability distributions: normal, Student’s t, binomial, and chi-square.
- inference
- Statistical inference: confidence intervals, contingency tests, and normal-approximation sample-size and power planning.
- mathfn
- Special functions and probability distributions implemented from scratch.
- regression
- Linear and logistic regression.
- sequential
- Sequential and always-valid inference.
- stratified
- Stratified experiment analysis.
- testing
- Hypothesis-testing helpers: one-way ANOVA, multiple-comparison p-value adjustment, and two one-sided tests (TOST) for equivalence of means.
Functions§
- module
- Build the statistics module with all of its registered functions.