R: Correcting Nonparametric Frontier Measurements for Outliers

# Correcting Nonparametric Frontier Measurements for Outliers

## Documentation for package ‘jackstrap’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

hist_jack_ks | Histogram with Jackstrap Efficiency Indicators: This function builds graphics with distributions of efficiency indicators without outliers and complete sample. The outliers are defined by K-S Test.
hist_jack_step | Histogram with Jackstrap Efficiency Indicators: This function builds a graphic with indicator distributions without outliers and complete sample. The outliers are defined by heaviside step function method.
jackstrap | Jackstrap Method: Tool identifies outliers in Nonparametric Frontier. This function applies the developed technique by Sousa and Stosic (2005) Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Measurements for Outliers.
jackstrap_ks | Jackstrap KS Method: Tool identifies outliers in Nonparametric Frontier. This function applies the developed technique by Sousa and Stosic (2005) Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Meansurements for Outliers and to use the K-S test with criterion to define outliers.
municipalities | Dataset of Municipalities of Bahia state in Brazil
plot_jackstrap_ks | Plot Jackstrap KS: This function plots p-value of Kolmogorov-Smirnov Test in decreasing order of leverage.
summary_jackstrap | Summary Jackstrap: This function shows the main outcomes with outlier technique developed by Sousa and Stosic(2005).