mbd_two_minority: Multinomial Dirichlet Bayes Draw Two Candidates, and...
In lorenc5/eiCompare: Compares EI, Goodman, RxC Estimates
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Extract posterior means and credible intervals. Need to call variables V1, V2. When two=F, add in V3; Race names = VtdAVap_cor, VtdMVap_cor
Usage
1
2
mbd_two_minority(md, colnames, two=TRUE)
Arguments
md
object from ei.MD.bayes() return
colnames
Vector of candidate names. Stick to c(V1,V2) or c(V1,V2,V3)
two
Logical. Two candidates (TRUE), or three (FALSE)
Value
List with two data frames
Author(s)
Loren Collingwood <loren.collingwood@ucr.edu>
Examples
1
2
3
# EXAMPLE: NOT RUN #
lorenc5/eiCompare documentation built on June 5, 2019, 5:18 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Extract posterior means and credible intervals. Need to call variables V1, V2. When two=F, add in V3; Race names = VtdAVap_cor, VtdMVap_cor
Usage
1 2 | mbd_two_minority(md, colnames, two=TRUE)
|
Arguments
md |
object from ei.MD.bayes() return |
colnames |
Vector of candidate names. Stick to c(V1,V2) or c(V1,V2,V3) |
two |
Logical. Two candidates (TRUE), or three (FALSE) |
Value
List with two data frames
Author(s)
Loren Collingwood <loren.collingwood@ucr.edu>
Examples
1 2 3 |
# EXAMPLE: NOT RUN #
|
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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