| sfa-package | Stochastic Frontier Analysis |
| bread.sfareg | Extractor methods for "sfareg" objects |
| calibrate_c | Fixed robustness parameter by weight matching |
| coef.sfareg | Extractor methods for "sfareg" objects |
| composed_cdf | Composed-error distribution function for any cross-sectional model |
| copsfm | Stochastic Frontier with Dependence Between Noise and Inefficiency |
| cw_test | Chen and Wang (2012) centered-residuals moment test |
| data_gen_cs | Generate Cross-Sectional Data for Stochastic Frontier Analysis |
| data_gen_p | Generate Panel Data for Stochastic Frontier Analysis |
| dcomposed | The distribution of the composed error |
| density_weights | Density-power weights from a robust frontier fit |
| efficiency | Technical Efficiency Scores |
| efficiency_ci | Confidence Intervals for Individual Inefficiency and Efficiency |
| endogeneity_test | Were the regressors endogenous after all? |
| esfm | Stochastic frontier tolerating the wrong skewness |
| estfun.sfareg | Extractor methods for "sfareg" objects |
| FinnishElec | FinnishElec |
| fitted.sfareg | Predictions, fitted values and residuals for stochastic frontier fits |
| gof_test | Goodness-of-fit test for the assumed inefficiency distribution |
| hscore | Hyvarinen score for a Normal-Half-Normal frontier fit |
| hscore_select | Select the robustness tuning parameter by Hyvarinen score |
| Indian | Indian |
| inefficiency_test | Test whether there is any technical inefficiency |
| influence_sfa | Which observations are driving this frontier fit? |
| ivsfm | Stochastic Frontier Models with Endogenous Regressors |
| lcsfm | Latent Class Stochastic Frontier Models |
| lcsfm_homogeneity | Test a latent class frontier against homogeneity |
| logLik.sfareg | Extractor methods for "sfareg" objects |
| marginal_effects | Marginal Effects of the Variance Determinants on Inefficiency |
| meanefficiency | Model-Implied Mean Efficiency |
| moment_range | What skewness and excess kurtosis can a pair of distributions produce? |
| nobs.sfareg | Extractor methods for "sfareg" objects |
| npsfm | Nonparametric Stochastic Frontier Models |
| panel89 | Panel89 |
| pcomposed | The distribution of the composed error |
| pcomposed_model | Composed-error distribution function for any cross-sectional model |
| PL80_MVTN | Pitt and Lee (1981) Model III: the multivariate truncated normal panel likelihood |
| plot.sfareg | Optimizer Diagnostics for Stochastic Frontier Fits |
| predict.sfareg | Predictions, fitted values and residuals for stochastic frontier fits |
| print.cw_test | Chen and Wang (2012) centered-residuals moment test |
| print.esfm | Stochastic frontier tolerating the wrong skewness |
| print.npsfareg | Nonparametric Stochastic Frontier Models |
| print.sfadiag | Optimizer Diagnostics for Stochastic Frontier Fits |
| print.sfareg | Print method for "sfareg" objects |
| print.sfa_endog_test | Were the regressors endogenous after all? |
| print.sfa_hscore | Select the robustness tuning parameter by Hyvarinen score |
| print.sfa_influence | Which observations are driving this frontier fit? |
| print.sfa_mlrt | Test a latent class frontier against homogeneity |
| print.sfa_moment_range | What skewness and excess kurtosis can a pair of distributions produce? |
| print.sfa_spec_grid | Is this pair of distributions defensible? |
| print.sfa_spec_test | Is this pair of distributions defensible? |
| print.sfa_vuong | Choosing between non-nested stochastic frontier specifications |
| print.sfma | Average over inefficiency distributions instead of choosing one |
| psfm | psfm |
| psfm_bootstrap | Parametric Bootstrap for 'psfm()' Panel Stochastic Frontier Models |
| residuals.sfareg | Predictions, fitted values and residuals for stochastic frontier fits |
| selsfm | Stochastic Frontier Models with Sample Selection or Technology Choice |
| sfareg-methods | Extractor methods for "sfareg" objects |
| sfa_diagnostics | Optimizer Diagnostics for Stochastic Frontier Fits |
| sfm | sfm |
| sfma | Average over inefficiency distributions instead of choosing one |
| simulation_se | Simulation Standard Errors for Simulated-ML Fits |
| skewness_test | Formal tests for wrong skewness in the OLS residuals |
| spec_test | Is this pair of distributions defensible? |
| spec_test_all | Is this pair of distributions defensible? |
| summary.npsfareg | Nonparametric Stochastic Frontier Models |
| summary.sfareg | Summary method for "sfareg" objects |
| symmetry_test | Stochastic frontier tolerating the wrong skewness |
| TIC | Choosing between non-nested stochastic frontier specifications |
| ttsfm | Two-Tier Stochastic Frontier Model |
| uhet_test | Test whether technical inefficiency depends on firm characteristics |
| USUtilities | USUtilities |
| vcov.sfareg | Extractor methods for "sfareg" objects |
| vuong | Choosing between non-nested stochastic frontier specifications |
| zsfm | Zero-Inefficiency Stochastic Frontier Models |