CPT_POP: Population based conditioned probability
In mispitools: Missing Person Identification Tools
CPT_POP R Documentation
Population based conditioned probability
Description
Population based conditioned probability
Usage
CPT_POP(
propS = c(0.5, 0.5),
MPa = 40,
MPr = 6,
propC = c(0.3, 0.2, 0.25, 0.15, 0.1)
)
Arguments
propS
age epsilon - Age is not specified in this first version, because it asumes uniformity.
MPa
Missing person sex
MPr
Missing person hair color
propC
sex epsilon
Value
A value of Likelihood ratio based on preliminary investigation data. In this case, sex.
Examples
CPT_POP()
mispitools documentation built on Sept. 8, 2023, 6:13 p.m.
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| CPT_POP | R Documentation |
Population based conditioned probability
Description
Population based conditioned probability
Usage
CPT_POP(
propS = c(0.5, 0.5),
MPa = 40,
MPr = 6,
propC = c(0.3, 0.2, 0.25, 0.15, 0.1)
)
Arguments
propS |
age epsilon - Age is not specified in this first version, because it asumes uniformity. |
MPa |
Missing person sex |
MPr |
Missing person hair color |
propC |
sex epsilon |
Value
A value of Likelihood ratio based on preliminary investigation data. In this case, sex.
Examples
CPT_POP()
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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