# pompom v0.1.4

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## Person-Oriented Method and Perturbation on the Model

An implementation of a hybrid method of person-oriented method and perturbation on the model. Pompom is the initials of the two methods. The hybrid method will provide a multivariate intraindividual variability metric (iRAM). The person-oriented method used in this package refers to uSEM (unified structural equation modeling, see Kim et al., 2007, Gates et al., 2010 and Gates et al., 2012 for details). Perturbation on the model was conducted according to impulse response analysis introduced in Lutkepohl (2007).
Kim, J., Zhu, W., Chang, L., Bentler, P. M., & Ernst, T. (2007) <doi:10.1002/hbm.20259>.
Gates, K. M., Molenaar, P. C. M., Hillary, F. G., Ram, N., & Rovine, M. J. (2010) <doi:10.1016/j.neuroimage.2009.12.117>.
Gates, K. M., & Molenaar, P. C. M. (2012) <doi:10.1016/j.neuroimage.2012.06.026>.
Lutkepohl, H. (2007, ISBN:3540262393).

## Readme

# pompom

R package to perform time-series analysis and guage the temporal influence from one variable to another.

We created an R package named "pompom" (pompom is the initials of person-oriented modeling and perturbation on the model), and we will use the functions in "pompom" to compute iRAM (impulse response analysis metric) in this pacakge.

iRAM is built upon a hybrid method that combines intraindividual variability methods and network analysis methods in order to model individuals as high-dimensional dynamic systems. This hybrid method is designed and tested to quantify the extent of interaction in a high-dimensional multivariate system, and applicable on experience sampling data.

## Functions in pompom

Name | Description | |

parse_beta | Parse the beta from model fit object | |

plot_iRAM_dist | Plot distribution of recovery time based on bootstrapped version of iRAM | |

uSEM | Fit a multivariate time series with uSEM (unified Structural Equation Model). | |

usemmodelfit | Model fitbased on similated time-series by uSEM. | |

plot_network_graph | Plot the network graph | |

plot_time_profile | Plot time profiles given a time-series generated by impulse response analysis | |

bootstrap_iRAM_2node | Bootstrapped iRAM (including replications of iRAM and corresponding time profiles) for the bivariate time-series (simts2node) | |

bootstrap_iRAM_3node | Bootstrapped iRAM (including replications of iRAM and corresponding time profiles) for the 3-variate time-series (simts) | |

true_beta_2node | The true beta matrix (4 by 4) used in simulation. | |

true_beta_3node | The true beta matrix (6 by 6) used in simulation. | |

iRAM | Generate iRAM (impulse response anlaysis metric) from model fit. | |

model_summary | Provide model summary. | |

simts_2node | Simulated bivariate time-series data | |

simts_3node | Simulated 3-variate time-series data | |

No Results! |

## Vignettes of pompom

Name | ||

Three_node_exmaple.Rmd | ||

No Results! |

## Last month downloads

## Details

Type | Package |

License | GPL-2 |

Encoding | UTF-8 |

LazyData | true |

RoxygenNote | 6.0.1 |

VignetteBuilder | knitr |

NeedsCompilation | no |

Packaged | 2018-01-10 19:05:32 UTC; Xiao Yang |

Repository | CRAN |

Date/Publication | 2018-01-11 12:04:04 UTC |

imports | ggplot2 (>= 2.2.1) , lavaan (>= 0.5-23.1097) , qgraph , reshape2 (>= 1.4.2) , utils |

suggests | knitr , rmarkdown , testthat |

depends | R (>= 3.0.0) |

Contributors | Nilam Ram, Peter Molenaar |

#### Include our badge in your README

```
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