Description Usage Arguments Value Examples

View source: R/validation_MRMC_Create_dataList_MRMC_Hit_from_rate_etc.R

Make several datasets from a given model parameter.

1 2 3 4 5 6 7 8 9 10 11 | ```
replicate_MRMC_dataList(
replication.number = 2,
initial.seed = 123,
mu.truth = BayesianFROC::mu_truth,
v.truth = BayesianFROC::v_truth,
z.truth = BayesianFROC::z_truth,
NI = 200,
NL = 142,
ModifiedPoisson = TRUE,
summary = FALSE
)
``` |

`replication.number` |
A positive integer, specifying number of replicated datasets by this function. For fixed number of lesions, images, the dataset of hits and false alarms are replicated, and the number of replicated datasets are specified by this variable. |

`initial.seed` |
The variable |

`mu.truth` |
array of dimension (M,Q). Mean of the signal distribution of bi-normal assumption. |

`v.truth` |
array of dimension (M,Q). Standard Deviation of represents the signal distribution of bi-normal assumption. |

`z.truth` |
This is a parameter of the latent Gaussian assumption for the noise distribution. |

`NI` |
Number of Images. |

`NL` |
Number of Lesions. |

`ModifiedPoisson` |
Logical, that is If .
per lesionSimilarly, If .
per imageFor more details, see the author's paper in which I explained If
where On the other hand, if
where The model is fitted so that
the estimated FROC curve can be ragraded
as the expected pairs of FPF per image and TPF per lesion ( or as the expected pairs of FPF per image and TPF per lesion ( If On the other hand, if So,data of FPF and TPF are changed thus, a fitted model is also changed whether Revised 2019 Dec 8 Revised 2019 Nov 25 Revised 2019 August 28 |

`summary` |
Logical: |

A list, each component is also a list, representing an FROC dataset.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ```
#========================================================================================
# Visualization of replicated datasets synthesized by default values
#========================================================================================
# Replicates datasets from a model with user specified parameters (now, it is default).
a <-replicate_MRMC_dataList()
# Calculates FPF and TPF and plot it for the first replicatec dataset
plot_FPF_and_TPF_from_a_dataset(a[[1]])
# Calculates FPF and TPF and plot it for the second replicatec dataset
plot_FPF_and_TPF_from_a_dataset(a[[2]])
# Reviesed 2019 Oct 9
``` |

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