gam_ctr_plot {BioPred} | R Documentation |

## GAM Contrast Plot

### Description

Computes and plots the contrasts between treatment and control group based on a GAM for exploring the relationship be-tween treatment benefit and biomarker.

### Usage

```
gam_ctr_plot(
yvar,
censorvar = NULL,
xvar,
xvars.adj = NULL,
sxvars.adj = NULL,
trtvar = NULL,
type,
data,
k,
title = "Group Contrast",
ybreaks = NULL,
xbreaks = NULL,
rugcol.var = NULL,
link.scale = TRUE,
prt.sum = TRUE,
prt.chk = FALSE,
outlier.rm = FALSE
)
```

### Arguments

`yvar` |
Response variable name. |

`censorvar` |
Censoring variable name (0-censored, 1-event). Required if type is "s" (survival). |

`xvar` |
Biomarker name. |

`xvars.adj` |
Potential confounding variables to adjust for using linear terms. |

`sxvars.adj` |
Potential confounding variables to adjust for using curves. |

`trtvar` |
Treatment variable that the contrast will build upon (treatment-control). |

`type` |
Type of response variable. Options are "c" for continuous, "s" for survival, and "b" for binary response. |

`data` |
The dataset containing the variables. |

`k` |
Upper limit on the degrees of freedom associated with an s smooth.When this k is too large, program will report error saying |

`title` |
Title of the plot. |

`ybreaks` |
Breaks on the y-axis. |

`xbreaks` |
Breaks on the x-axis. |

`rugcol.var` |
Variable name that defines the color of the rug. |

`link.scale` |
Whether to show the plot (y-axis) in the scale of the link function (linear predictor). |

`prt.sum` |
Whether to print summary or not. |

`prt.chk` |
Whether to print model diagnosis. |

`outlier.rm` |
Whether to remove outliers based on 1.5IQR. |

### Value

A list containing the p-value table, summarized p-value table, s-value table, summarized s-value table, and the plot.

*BioPred*version 1.0.1 Index]