penCSC {CSCNet} | R Documentation |

## penCSC

### Description

Function to fit penalized cause-specific-cox with elastic-net penalty.

### Usage

```
penCSC(
time,
status,
vars.list,
data,
alpha.list,
lambda.list,
standardize = TRUE,
keep = NULL
)
```

### Arguments

`time` |
A character showing the name of the time variable in the data. |

`status` |
A character showing the name of the status/event variable in the data. |

`vars.list` |
A named list containing the variables to be included in each cause-specific model. Variables can be vectors of variable names or a one sided formula. Names of the list must be the events and exactly the same as values in the status variable. See 'Examples' for details. |

`data` |
A data frame containing the information of the variables. |

`alpha.list` |
A named list containing the single alpha values of each cause-specific model. Names of the list must be the events and exactly the same as values in the status variable. See 'Examples' for details. |

`lambda.list` |
A named list containing the single lambda values of each cause-specific model. Names of the list must be the events and exactly the same as values in the status variable. See 'Examples' for details. |

`standardize` |
Logical indicating whether the variables must be standardized or not. Default is |

`keep` |
A character vector of the names of variables that should not be shrunk. Default is |

### Value

A named list containing all the information related to the used data and the fitted models for all causes. Use `$`

to explore all the involved information.

### Author(s)

Shahin Roshani

### References

Friedman J, Hastie T, Tibshirani R (2010). "Regularization Paths for Generalized Linear Models via Coordinate Descent." Journal of Statistical Software, 33(1), 1-22. doi:10.18637/jss.v033.i01, https://www.jstatsoft.org/v33/i01/.

Therneau T (2022). A Package for Survival Analysis in R. R package version 3.3-1, https://CRAN.R-project.org/package=survival.

Wickham H, Averick M, Bryan J, Chang W, McGowan L, François R, et al. Welcome to the tidyverse. J Open Source Softw. 2019 Nov 21;4(43):1686.

Bache S, Wickham H (2022). magrittr: A Forward-Pipe Operator for R. https://magrittr.tidyverse.org, https://github.com/tidyverse/magrittr.

### Examples

```
library(riskRegression)
data(Melanoma)
vl <- list('1'=c('age','sex','ulcer','thick'),
'2'=~age+sex+epicel+thick+ici)
al <- list('1'=0,'2'=.5)
ll <- list('1'=.01,'2'=.04)
penCSC(time='time',status='status',vars.list=vl,
data=Melanoma,alpha.list=al,lambda.list=ll)
```

*CSCNet*version 0.1.2 Index]