Function for sampling normal distribution with grand means built into participant effects (i.e., participant effects not zero-centered). This is useful for sampling DPSD or UVSD models with no item effects and without hierarchical pooling (neither of which should be done!).

1 | ```
sampleNorm2(sample, y, cond, subj, item, lag, N, I, J, R, ncond, nsub, nitem, s2mu, s2a, s2b, meta, metb, sigma2, sampLag = 1, Hier = 1)
``` |

`sample` |
~~Describe |

`y` |
~~Describe |

`cond` |
~~Describe |

`subj` |
~~Describe |

`item` |
~~Describe |

`lag` |
~~Describe |

`N` |
~~Describe |

`I` |
~~Describe |

`J` |
~~Describe |

`R` |
~~Describe |

`ncond` |
~~Describe |

`nsub` |
~~Describe |

`nitem` |
~~Describe |

`s2mu` |
~~Describe |

`s2a` |
~~Describe |

`s2b` |
~~Describe |

`meta` |
~~Describe |

`metb` |
~~Describe |

`sigma2` |
~~Describe |

`sampLag` |
~~Describe |

`Hier` |
~~Describe |

hbmem documentation built on May 30, 2017, 8:14 a.m.

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