| pqrfe-package | Penalized Quantile Regression with Fixed Effects | 
| check_lambda | check lambda | 
| choice_p | choice model | 
| clean_data | Clean missings | 
| d_psi_als | D Psi ALS | 
| d_psi_mq | D Psi M-quantile | 
| f_den | Kernel density | 
| f_tab | Tabular function | 
| loss_er | Loss expectile regression | 
| loss_erfe | Loss expectile regression with fixed effects | 
| loss_erlasso | Loss lasso expectile regression with fixed effects | 
| loss_mqr | Loss M-quantile regression | 
| loss_mqrfe | Loss M-quantile regression with fixed effects | 
| loss_mqrlasso | Loss lasso M-quantile regression with fixed effects | 
| loss_qr | Loss quantile regression | 
| loss_qrfe | Loss quantile regression with fixed effects | 
| loss_qrlasso | Loss lasso quantile regression with fixed effects | 
| mpqr | Multiple penalized quantile regression | 
| optim_er | optim expectile regression | 
| optim_erfe | optim expectile regression with fixed effects | 
| optim_erlasso | optim expectile regression with fixed effects and LASSO | 
| optim_mqr | optim M-quantile regression | 
| optim_mqrfe | optim quantile regression with fixed effects | 
| optim_mqrlasso | optim M-quantile regression with fixed effects and LASSO | 
| optim_qr | optim quantile regression | 
| optim_qrfe | optim quantile regression with fixed effects | 
| optim_qrlasso | optim quantile regression with fixed effects and LASSO | 
| plot_taus | Plot multiple penalized quantile regression | 
| pqr | Penalized quantile regression with fixed effects | 
| pqrfe | Penalized Quantile Regression with Fixed Effects | 
| print.PQR | Print an PQR | 
| psi_als | Psi ALS | 
| psi_mq | Psi M-quantile | 
| q_cov | Covariance | 
| rho_koenker | Rho Koenker | 
| rho_mq | Rho M-quantile | 
| sgf | Identify significance |