p kalpha module to compute Krippendorff's Alpha-Reliability p kanom module to estimate Krippendorff's alpha for nominal variables p kapgof module to compute confidence intervals for the kappa statistic p kaplansky module to graph examples of distributions of varying kurtosis p kappa2 module to produce Generalizations of weighted kappa for incomplete designs p kappaetc module to evaluate interrater agreement p kappalate module to estimate the local average treatment effect (LATE) using Abadie's kappa approach and other weighting estimators p kapprevi module to plot the dependence of kappa statistic on true prevalence p kaputil module to generate confidence intervals and sample size calculations for the kappa-statistic p katego module to split a continuous numerical variable in custom categories p kdbox module to generate kernel density plot with boxplot p kdens module for univariate kernel density estimation p kdens2 module to estimate bivariate kernel density p kdmany module to perform kernel density estimation for several variables p keeporder module to keep and order a set of variables p keepvar module to keep a list of variables in the order of their appearance in the list p kernel module to compute various kernels p kernreg1 module to compute kernel regression (Nadaraya-Watson estimator) p kernreg2 module to compute kernel regression (Nadaraya-Watson estimator) p keyby module to key the dataset by a variable list p keyplot module to generate scatter plot with keys in user-chosen positions p kfoldclass module for generating classification statistics of k-fold cross-validation for binary outcomes p khb module to decompose total effects into direct and indirect via KHB-method p kinkyreg module to perform kinky least squares estimation and inference p kit_livingincome module providing Tables and Bar charts of the Gap to the Living Income Benchmark p kitchensink module to return the model with the highest number of statistically significant predictors p kmatch module module for multivariate-distance and propensity-score matching, including entropy balancing, inverse probability weighting, (coarsened) exact matching, and regression adjustment p kmest module to compute Kaplan-Meier survival probabilities as estimation results p knapsack module to solve the knapsack problem p kobo2stata module to create labelled Stata datasets from KoboToolbox p konfound module to quantify robustness of causal inferences p kotlarski module to execute deconvolution kernel density estimation and produce a robust construction of its uniform confidence band p kountry module to standardize country names across various datasets p kpss module to compute Kwiatkowski-Phillips-Schmidt-Shin test for stationarity p kr20 module to calculate Kuder-Richardson coefficient of reliability p krippalpha module to compute Krippendorff's alpha intercoder reliability coefficient p krls module to perform Kernel–Based Regularized Least Squares p ksi module to compute Krugman specialization index p ksmirnov2var module to perform the Kolmogorov-Smirnov test of the equality of distributions for two variables. p kssur module to calculate Kapetanios, Shin & Snell unit root test statistic along with critical values and p-values p ksur module to calculate Kapetanios & Shin unit root test statistic along with finite-sample critical values and p-values p kwallis2 module to perform Kruskal-Wallis Test for equality of populations p kwstat module to compute kernel weighted sample statistics p ky_fit module to fit mixture models of the Kapteyn-Ypma type to linked survey and administrative data