View source: R/regression_models.R

Zero truncated Poisson regression | R Documentation |

Zero truncated Poisson regression.

```
ztp.reg(y, x, full = FALSE, tol = 1e-07, maxiters = 100)
```

`y` |
The dependent variable, a numerical vector with integer valued numbers. |

`x` |
A matrix or a data.frame with the indendent variables. |

`full` |
If you want full information (standard errors, Walt test statistics and p-values of the regression coefficients) set this equal to TRUE. |

`tol` |
The tolerance value required by the Newton-Raphson to stop. |

`maxiters` |
The maximum iterations allowed. |

A zero truncated poisson regression model is fitted.

A list including:

`be` |
The regression coefficients if "full" was set to FALSE. |

`info` |
This is returned only if "full" was set to TRUE. It is a matrix with the regression coefficients, their standard errors, Walt test statistics and p-values. |

`loglik` |
The loglikelihood of the regression model. |

`iter` |
The iterations required by the Newton-Raphson. |

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

` bic.regs `

```
y <- rpois(100, 5)
y[y == 0] <- 1
x <- matrix( rnorm(100 * 5), ncol = 5 )
mod <- ztp.reg(y, x)
```

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