Description Usage Arguments Details Examples

`annualDoseToCumulativeDose`

Convert annual dose to cumulative
dose with given id vector. The years associated with dose records for a
given id should be in increasing order.

`cumulativeDoseToAnnualDose`

Convert cumulative dose to annual
dose with given id vector. The years associated with dose records for a
given id should be in increasing order.

`hsumaAnnualDose`

Generate dose realizations with annual dose
records using hierachical SUMA model (with only multiplicative errors).

`hsumaCumulativeDose`

Generate dose realizations with cumulative
dose records using hierachical SUMA model (with only multiplicative
errors).

1 2 3 4 5 6 7 | ```
annualDoseToCumulativeDose(dose, doseyr.id)
cumulativeDoseToAnnualDose(dose, doseyr.id)
hsumaAnnualDose(seed, uM, sM, pM, dose.mean, doseyr.id)
hsumaCumulativeDose(seed, uM, sM, pM, dose.mean, doseyr.id)
``` |

`dose` |
A vector describing year exposure, either annually or cumulative |

`doseyr.id` |
A vector describing the id information of the dose vector. Both dose and doseyr.id should be in increasing order with respect to doseyr.id |

`uM, sM, pM` |
Multiplicative error, unshared, shared and partially shared |

`dose.mean` |
Average dose vecotr |

`seed` |
Random seed to ensure reproducibility. |

Function `cumulativeDoseToAnnualDose`

and
`annualDoseToCumulativeDose`

help with converting cumulative data to
annual data and the other way around.

Function `hsumaAnnualDose`

and `hsumaCumulativeDose`

generates
annual and cumulative dose replications using the SUMA model.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
n <- 5000
n.year <- 10
id <- rep(1:n, each = n.year)
z.annual <- rchisq(n * n.year, 1)
z.cumulative <- annualDoseToCumulativeDose(z.annual, id)
z.annual.back <- cumulativeDoseToAnnualDose(z.cumulative, id)
all.equal(z.annual, z.annual.back)
um <- 0.5
sm <- 0.2
z.reps.annual <- hsumaAnnualDose(0, um, sm, 0, z.annual, id)
z.reps.cumulative <- hsumaCumulativeDose(0, um, sm, 0, z.cumulative, id)
``` |

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