prob_k_seen: Assessing likelihood of different clue search results given...
In macartan/biqq: Package for BIQQ analysis as described in Jacobs, Humphreys (2016)
Description
Usage
Arguments
Value
Examples
Description
Assessing likelihood of different clue search results given prior
Usage
1
prob_k_seen(model, k = c(1, 1, 1, 1))
Arguments
model
Prior (or posterior, given XY)
k
A 4-vector saying how many clues are to be sought in each case.
Value
Dataframe showing XYK combinations and the likelihood of seeing so many positive clues in each XY case
Examples
1
2
model <- biqq()
prob_k_seen(model = model, k = 0:3)
macartan/biqq documentation built on May 6, 2019, 6:03 p.m.
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Description Usage Arguments Value Examples
Description
Assessing likelihood of different clue search results given prior
Usage
1 | prob_k_seen(model, k = c(1, 1, 1, 1))
|
Arguments
model |
Prior (or posterior, given XY) |
k |
A 4-vector saying how many clues are to be sought in each case. |
Value
Dataframe showing XYK combinations and the likelihood of seeing so many positive clues in each XY case
Examples
1 2 | model <- biqq()
prob_k_seen(model = model, k = 0:3)
|
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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