Description Usage Arguments Value Author(s) See Also Examples

The `hplm`

function computes a hierarchical piecewise regression model.

1 2 3 4 |

`data` |
A single-case data frame. See |

`model` |
Model used for calculating the slope parameter (see Huitema &
McKean, 2000). Default is |

`method` |
Method used to fit your model. Pass |

`control` |
A list of settings for the estimation algorithm, replacing
the default values passed to the function |

`random.slopes` |
If |

`lr.test` |
If set TRUE likelihood ratio tests are calculated comparing model with vs. without random slope parameters. |

`ICC` |
If |

`trend` |
A logical indicating if a trend parameters is included in the model. |

`level` |
A logical indicating if a level parameters is included in the model. |

`slope` |
A logical indicating if a slope parameters is included in the model. |

`fixed` |
Defaults to the fixed part of the standard piecewise regression model. The parameter phase followed by the phase name (e.g., phaseB) indicates the level effect of the corresponding phase. The parameter 'inter' followed by the phase name (e.g., interB) adresses the slope effect based on the method provide in the model argument (e.g., "B&L-B"). The formula can be changed for example to include further L1 or L2 variables into the regression model. |

`random` |
The random part of the model. |

`update.fixed` |
An easier way to change the fixed model part (e.g., . ~ . + newvariable). |

`data.l2` |
A dataframe providing additional variables at Level 2. The scdf File has to have names for all cases and the Level 2 dataframe has to have a column named 'cases' with the names of the cases the Level 2 variables belong to. |

`model` |
List containing infromation about the applied model |

`N` |
Number of single-cases. |

`formla` |
A list containing the fixed and the random formulas of the hplm model. |

`hplm` |
Object of class lme contaning the multilevel model |

`model.0` |
Object of class lme containing the Zero Model. |

`ICC` |
List containing intraclass correlation and test parameters. |

`model.without` |
Object of class gls containing the fixed effect model. |

Juergen Wilbert

1 2 3 4 5 | ```
## Compute hplm model on a MBD over fifty cases (restricted log-likelihood)
hplm(exampleAB_50, method = "REML", random.slopes = TRUE)
## Analyzing with additional L2 variables
hplm(exampleAB_50, data.l2 = exampleAB_50.l2, update.fixed = .~. + age + sex + age:sex)
``` |

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