Nonparametric tests
Sign test
Wilcoxon signed-rank test
Wilcoxon rank-sum (Mann–Whitney) test
Equality of medians
Kruskal–Wallis test
Kolmogorov–Smirnov test
Binomial probability test
Chi-squared tests for association
Tests for trend
One- and two-sample tests of proportions
Test for random order
Equality of survivor functions
Equality of ROC areas
Equality of ROC area against a standard ROC curve
CUSUM
Interrater agreement
Quantile regression
Median regression
Least absolute deviations regression
User-specified quantiles
Koenker and Bassett and Huber sandwich standard errors with many choices of bandwidth methods and kernels
Simultaneous quantile regression
Interquartile range regression
Nonparametric correlation coefficients
Spearman’s rank order
Kendall’s rank order
Nonparametric regression
Multiple covariates supported
Continuous covariates (8 kernels available)
Discrete covariates (2 kernels available)
Techniques
local constant regression
local linear regression
Point estimates with SEs and CIs
Derivative estimates with SEs and CIs
Automatic optimal bandwidth selection
Interface to margins for advanced inference
Estimates of population-averaged and subpopulation-averaged means and effects
Fully conditional means and effects at any specified values of the covariates
Confidence intervals
Tests
Graphs via marginsplot
Watch Nonparametric regression.
Survival analysis
Kaplan–Meier curves
Nelson–Aalen curves
Logrank and other tests of equality
Treatment effects
Nearest-neighbor matching
Propensity-score matching
Resampling and simulations
Bootstrap sampling and estimation
Sampling with replacement
Monte Carlo simulations
Smoothing
Univariate kernel density estimation
Lowess smoothing
Kernel-weighted local polynomial smoothing
Robust nonlinear smoother
ROC analysis
Adjust for covariates
Plot ROC curves
Centiles and confidence intervals
Estimate percentiles
Exact confidence intervals
Optionally assume normality