Actuarial data {ComRiskModel} | R Documentation |

## The mortality of retired people

### Description

The function allows to provide the distributional behavior of the mortality of retired people on disability of the Mexican Institute of Social Security.

### Usage

```
data_actuarialm
```

### Arguments

`data_actuarialm` |
A vector of (non-negative integer) values. |

### Details

The data describes the distributional behavior of the mortality of retired people on disability of the Mexican Institute of Social Security. Recently, it is used by Tahir et al. (2021) and fitted the Kumaraswamy Pareto IV distribution.

### Value

data_actuarialm gives the mortality of retired people.

### Author(s)

Muhammad Imran and M.H Tahir.

R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com and M.H Tahir mht@iub.edu.pk.

### References

Tahir, M. H., Cordeiro, G. M., Mansoor, M., Zubair, M., & Alzaatreh, A. (2021). The Kumaraswamy Pareto IV Distribution. Austrian Journal of Statistics, 50(5), 1-22.

Balakrishnan, N., Leiva, V., Sanhueza, A., & Cabrera, E. (2009). Mixture inverse Gaussian distributions and its transformations, moments and applications. Statistics, 43(1), 91-104.

### Examples

```
x<-data_actuarialm
summary(x)
```

*ComRiskModel*version 0.2.0 Index]