R: Adaptive Lasso Quantile Regression with Fixed Effects

# Adaptive Lasso Quantile Regression with Fixed Effects

## Documentation for package ‘alqrfe’ version 1.1

- DESCRIPTION file.

## Help Pages

alqrfe-package | Adaptive Lasso Quantile Regression with Fixed Effects
alqrfe | Adaptive Lasso Quantile Regression with Fixed Effects
bic_hat | Bayesian Information Criteria
clean_data | Clean missings
df_hat | degrees of fredom
f_den | Kernel density
f_tab | Tabular function
loss_alqr | Loss adaptive lasso quantile regression with fixed effects
loss_lqr | Loss lasso quantile regression with fixed effects
loss_qr | Loss quantile regression
loss_qrfe | Loss quantile regression with fixed effects
make_z | Incident matrix Z
mqr | multiple penalized quantile regression
mqr_alpha | multiple penalized quantile regression - alpha
optim_alqr | optim adaptive lasso quantile regression with fixed effects
optim_lqr | optim lasso quantile regression with fixed effects
optim_qr | optim quantile regression
optim_qrfe | optim quantile regression with fixed effects
plot_alpha | plot multiple penalized quantile regression - alpha
plot_taus | plot multiple penalized quantile regression
print.ALQRFE | Print an ALQRFE
qr | quantile regression
q_cov | Covariance
rho_koenker | Rho Koenker
sgf | Identify significance