Description Usage Arguments Value Examples

View source: R/pearsonresidual.R

Compute Pearson residuals for point processes with specified parameters and events.

1 | ```
pearsonresidual(object, events, start, end, steps = 1000)
``` |

`object` |
point process model |

`events` |
vector of event times |

`start` |
start of observation period (default 0) |

`end` |
termination time (default final event) |

`steps` |
number of steps for numeric integration (if needed) |

the Pearson residual

1 2 3 4 5 6 7 | ```
Q <- matrix(c(-0.4, 0.4, 0.2, -0.2), ncol = 2, byrow = TRUE)
x <- pp_mmhp(Q,
delta = c(1 / 3, 2 / 3), lambda0 = 0.9,
lambda1 = 1.1, alpha = 0.8, beta = 1.2
)
y <- pp_simulate(x, n = 10)
ppdiag:::pearsonresidual.mmhp(x, events = y$events[-1])
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.