Tidy estimates from the amce estimator

Runs amce estimation function and returns tidy data frame output

Usage

# S3 method for class 'amce'
tidy(x, alpha = 0.05, ...)

Arguments

x

an amce fit object from cjoint::amce

alpha

Confidence level

...

Extra arguments to pass to tidy

Value

a data.frame of estimates

Details

See https://book.declaredesign.org/experimental-descriptive.html#conjoint-experiments

Examples

# \donttest{
library(cjoint)
#> Loading required package: sandwich
#> Loading required package: lmtest
#> Loading required package: zoo
#> 
#> Attaching package: ‘zoo’
#> The following objects are masked from ‘package:base’:
#> 
#>     as.Date, as.Date.numeric
#> Loading required package: survey
#> Loading required package: grid
#> Loading required package: Matrix
#> Loading required package: survival
#> 
#> Attaching package: ‘survey’
#> The following object is masked from ‘package:graphics’:
#> 
#>     dotchart
#> cjoint: AMCE Estimator for Conjoint Experiments
#> Version: 2.1.1
#> Authors: Soubhik Barari, Elissa Berwick, Jens Hainmueller, Daniel Hopkins, Sean Liu, Anton Strezhnev, Teppei Yamamoto

data(immigrationconjoint)
data(immigrationdesign)

# Run AMCE estimator using all attributes in the design
results <- amce(Chosen_Immigrant ~  Gender + Education + `Language Skills` +
                  `Country of Origin` + Job + `Job Experience` + `Job Plans` +
                  `Reason for Application` + `Prior Entry`, data = immigrationconjoint,
                cluster = TRUE, respondent.id = "CaseID", design = immigrationdesign)

# Print summary
# tidy(results)
# }