# Plot Method for a "glmtlp" Object

`plot.glmtlp.Rd`

Generates a solution path plot for a fitted `"glmtlp"`

object.

## Arguments

- x
Fitted

`glmtlp`

object.- xvar
The x-axis variable to plot against, including

`"lambda"`

,`"kappa"`

,`"deviance"`

,`"l1_norm"`

, and`"log_lambda"`

.- xlab
The x-axis label of the plot, default is

`"Lambda"`

,`"Kappa"`

,`"Fraction of Explained Deviance"`

,`"L1 Norm"`

, and`"Log Lambda"`

.- ylab
The y-axis label of the plot, default is "Coefficients".

- title
The main title of the plot, default is "Solution Path".

- label
Logical, whether or not attach the labels for the non-zero coefficients, default is

`FALSE`

.- label.size
The text size of the labels, default is 3.

- ...
Additional arguments.

## Details

The generated plot is a `ggplot`

object, and therefore, the users are able
to customize the plots following the `ggplot2`

syntax.

## References

Shen, X., Pan, W., & Zhu, Y. (2012).
*Likelihood-based selection and sharp parameter estimation.
Journal of the American Statistical Association, 107(497), 223-232.*

Shen, X., Pan, W., Zhu, Y., & Zhou, H. (2013).
*On constrained and regularized high-dimensional regression.
Annals of the Institute of Statistical Mathematics, 65(5), 807-832.*

Li, C., Shen, X., & Pan, W. (2021).
*Inference for a Large Directed Graphical Model with Interventions.
arXiv preprint arXiv:2110.03805.*

Yang, Y., & Zou, H. (2014).
*A coordinate majorization descent algorithm for l1 penalized learning.
Journal of Statistical Computation and Simulation, 84(1), 84-95.*

Two R package Github: *ncvreg* and *glmnet*.

## Author

Chunlin Li, Yu Yang, Chong Wu

Maintainer: Yu Yang yang6367@umn.edu

## Examples

```
X <- matrix(rnorm(100 * 20), 100, 20)
y <- rnorm(100)
fit <- glmtlp(X, y, family = "gaussian", penalty = "l1")
plot(fit, xvar = "lambda")
plot(fit, xvar = "log_lambda")
plot(fit, xvar = "l1_norm")
plot(fit, xvar = "log_lambda", label = TRUE)
fit2 <- glmtlp(X, y, family = "gaussian", penalty = "l0")
plot(fit2, xvar = "kappa", label = TRUE)
```