Description Usage Arguments Details Examples

`mcmcsa`

performs MCMC for source apportionment

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`dat` |
data frame of daily constituent concentrations with date as first column |

`lamcon` |
Matrix of sources by constituents with 1 and 0 for conditions |

`mdls` |
data frame of daily MDL values of the same dimensions of data |

`guessvec` |
starting values (do not need to provide) |

`burnin` |
number of burnin samples |

`N` |
number of samples |

`L` |
number of sources |

This function aims to draw from the posterior distributions of the source profiles, the source contributions/concentrations, the variance of the data and the other parameters. Eventually, this function will incorporate options for concentrations observed below the MDL

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