pp_check: Posterior predictive checks for bayesian vote count models.
In tereom/quickcountmx: Estimate Election Results Mexico
Description
Usage
Arguments
Value
Examples
View source: R/post_predictive_check.R
Description
Posterior predictive checks for bayesian vote count models.
Usage
1
2
3
pp_check_party(model_fit_party)
pp_check(model_fit)
Arguments
model_fit_party
Output of mrp_party_estimation
model_fit
Output of mrp_estimation
Value
A tbl with posterior simulations for observed
polling stations, with observed vote counts
Examples
1
2
3
4
data("gto_2012")
model <- mrp_party_estimation(gto_2012, party = pan_na, stratum = distrito_loc_17,
frac = 1, seed = 2212)
pp_check <- pp_check_party(model)
tereom/quickcountmx documentation built on Dec. 2, 2019, 9:58 p.m.
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Description Usage Arguments Value Examples
View source: R/post_predictive_check.R
Description
Posterior predictive checks for bayesian vote count models.
Usage
1 2 3 | pp_check_party(model_fit_party)
pp_check(model_fit)
|
Arguments
model_fit_party |
Output of |
model_fit |
Output of |
Value
A tbl with posterior simulations for observed
polling stations, with observed vote counts
Examples
1 2 3 4 | data("gto_2012")
model <- mrp_party_estimation(gto_2012, party = pan_na, stratum = distrito_loc_17,
frac = 1, seed = 2212)
pp_check <- pp_check_party(model)
|
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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