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 |