View source: R/GetSimData_function.R

Simulating the treatment assignment for interference data.

1 | ```
GetSimData(dta, pot_out, neigh_ind, re_sd, trt_coef)
``` |

`dta` |
A data frame including the following variables: neigh varying from 1 to the number of neighborhoods, and two covariates X1 and X2. |

`pot_out` |
A list of length equal to the number of clusters. Each element is an array of 3 dimensions. Element ijk of the array is the potential outcome for unit i in the cluster if the treatment of unit is j - 1 and k - 1 of neighbors are treated. |

`neigh_ind` |
A list of length equal to the number of custers including the row indices corresponding to each cluster. |

`re_sd` |
The standard deviation of the cluster specific random effect for the propensity score model. If set to 0, the propensity score model includes only fixed effects. |

`trt_coef` |
Coefficients of the propensity score model corresponding to the intercept, and the two covariates in dta. |

gpapadog/Interference documentation built on Oct. 17, 2018, 3:27 a.m.

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