Produces a coefficient profile plot of the coefficient paths for
a fitted `ggmix_fit`

object.

# S3 method for ggmix_fit plot(x, ..., xvar = c("norm", "lambda", "dev"), label = FALSE, sign.lambda = 1) plotCoef( beta, norm, lambda, df, dev, label = FALSE, xvar = c("norm", "lambda", "dev"), xlab = iname, ylab = "Coefficients", ... )

x | a |
---|---|

... | other graphical parameters passed to |

xvar | What is on the X-axis. "norm" plots against the L1-norm of the coefficients, "lambda" against the log-lambda sequence, and "dev" against the percent deviance explained. |

label | If TRUE, label the curves with variable sequence numbers. |

sign.lambda | Either plot against log(lambda) (default) or its negative if sign.lambda=-1 |

beta | fixed effects estimates |

norm | l1 norm of fixed effect estimates. if missing, (default) this function will calculate it |

lambda | sequence of tuning parameters |

df | number of non-zero fixed + random effects |

dev | percent deviance |

xlab | x-axis label |

ylab | y-axis label |

A plot is produced and nothing is returned

A coefficient profile plot is produced