Penalized Quantile Regression with Fixed Effects


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Documentation for package ‘pqrfe’ version 1.1

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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