CPT_MP: Missing person based conditioned probability
In mispitools: Missing Person Identification Tools
CPT_MP R Documentation
Missing person based conditioned probability
Description
Missing person based conditioned probability
Usage
CPT_MP(MPs = "F", MPc = 1, eps = 0.05, epa = 0.05, epc = Cmodel())
Arguments
MPs
Missing person sex
MPc
Missing person hair color
eps
sex epsilon
epa
age epsilon - Age is not specified in this first version, because it asumes uniformity.
epc
color model
Value
A value of Likelihood ratio based on preliminary investigation data. In this case, sex.
Examples
CPT_MP()
mispitools documentation built on Sept. 8, 2023, 6:13 p.m.
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| CPT_MP | R Documentation |
Missing person based conditioned probability
Description
Missing person based conditioned probability
Usage
CPT_MP(MPs = "F", MPc = 1, eps = 0.05, epa = 0.05, epc = Cmodel())
Arguments
MPs |
Missing person sex |
MPc |
Missing person hair color |
eps |
sex epsilon |
epa |
age epsilon - Age is not specified in this first version, because it asumes uniformity. |
epc |
color model |
Value
A value of Likelihood ratio based on preliminary investigation data. In this case, sex.
Examples
CPT_MP()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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