CLRMC {ECLRMC} | R Documentation |

## Takes an incomplete matrix and returns the imputed matrix using CLRMC method.

### Description

Takes an incomplete matrix and returns the imputed matrix using CLRMC method.

### Usage

```
CLRMC(x, beta = 0.1)
```

### Arguments

`x` |
An m by n matrix with NAs |

`beta` |
A value in [0,1] range. Higher beta value means comparing each row with more nearest neighbours. Default value = 0.1 |

### Value

An m by n matrix with imputed values

### References

Chen, Xiaobo, et al. "Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation." Knowledge-Based Systems 132 (2017): 249-262.

### Examples

```
x = matrix(c(5.1, 4.9, NA, 4.6, 3.5, 3.0, 3.2, 3.1, 1.4, NA, 1.3, 1.5), byrow = TRUE, ncol=4)
CLRMC(x, beta = 0.2)
```

[Package

*ECLRMC*version 1.0 Index]