`penplaqr`

fits a partially linear penalized quantile regression.

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`formula` |
a formula object containing the response variable on the LHS and the variables to be modeled with linear terms on the RHS. |

`nonlinVars` |
a formula object with an empty LHS and the variables to be modeled non-linearly on the RHS. |

`tau` |
a scalar indicating the desired quantile. |

`lambda` |
a scalar indicating the value of the tuning parameter. |

`penalty` |
a character string indicating which penalty should be used in fitting the model. |

`penalty_deriv` |
an optional user-specified function for computing the derivative of the penalty function. |

`a` |
additional tuning paramater for certain penalty functions. |

`data` |
a data frame |

`epsilon` |
scalar value for determining when convergence has been reached. |

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