# Plot the solution path for the concave penalized logistic models

### Description

Plot the path trajectories for the solutions computed by the implemented methods.

### Usage

1 | ```
path.plot(out)
``` |

### Arguments

`out` |
the object return from function |

### Details

The function plots the trajectories of solutions, with x-axis being the grids of lambda, and y-axis being the coefficients profile.

### Author(s)

Dingfeng Jiang

### References

Dingfeng Jiang, Jian Huang. Majorization Minimization by Coordinate Descent for Concave Penalized Generalized Linear Models.

Zou, H., Li, R. (2008). One-step Sparse Estimates in Nonconcave Penalized
Likelihood Models. *Ann Stat*, 364: 1509-1533.

Breheny, P., Huang, J. (2011). Coordinate Descent Algorithms for Nonconvex
Penalized Regression, with Application to Biological Feature
Selection. *Ann Appl Stat*, 5(1), 232-253.

Jiang, D., Huang, J., Zhang, Y. (2011). The Cross-validated AUC for
MCP-Logistic Regression with High-dimensional Data. *Stat Methods
Med Res*, online first, Nov 28, 2011.

### See Also

`cvplogistic`

, `hybrid.logistic`

, `cv.hybrid`

,
`cv.cvplogistic`

### Examples

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