Description Usage Arguments Value References Examples

View source: R/population.est.R

Estimate population-level partial correlation coefficients in time series data.
And also return each individual-level coefficients.

1 | ```
population.est(Z, alpha = 0.05, lambda = NULL, ind.ci = FALSE)
``` |

`Z` |
is a |

`alpha` |
significance level, default value is |

`lambda` |
a penalty parameter used in lasso of order |

`ind.ci` |
a logical indicating whether to compute |

A `popEst`

class object containing two components.

`coef`

a *p*p* partial correlation coefficients matrix.

`ind.est`

a *m*-length list, containing estimates for each individuals.

Qiu Y. and Zhou X. (2021).
Inference on multi-level partial correlations
based on multi-subject time series data,
*Journal of the American Statistical Association*, 00, 1-15

1 2 3 | ```
## Quick example for the individual-level estimates
data(popsimA)
pc = population.est(popsimA) # estimating partial correlation coefficients
``` |

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