LRcolors: Simulate LR values considering H1 and H2
In MarsicoFL/mispitools: Missing Person Identification Tools
LRcolors R Documentation
Simulate LR values considering H1 and H2
Description
Simulate LR values considering H1 and H2
Usage
LRcolors(df, seed = 1234, nsim = 500)
Arguments
df
A data.frame containing the characteristics of individuals, numerator, f_h_s_y and LRs. Output from compute_LRs function.
seed
For replication purposes.
nsim
Number of LRs simulated.
Value
LR distribution considering H1 (Related) and H2 (Unrelated).
MarsicoFL/mispitools documentation built on April 14, 2025, 5:32 a.m.
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| LRcolors | R Documentation |
Simulate LR values considering H1 and H2
Description
Simulate LR values considering H1 and H2
Usage
LRcolors(df, seed = 1234, nsim = 500)
Arguments
df |
A data.frame containing the characteristics of individuals, numerator, f_h_s_y and LRs. Output from compute_LRs function. |
seed |
For replication purposes. |
nsim |
Number of LRs simulated. |
Value
LR distribution considering H1 (Related) and H2 (Unrelated).
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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