mi_wilson: Calculates the specified Wilson CI of a binomial proportion...
In MIWilson: Implementing the MI-Wilson Confidence Interval
Description
Usage
Arguments
Value
Examples
Description
Calculates the specified Wilson CI of a binomial proportion
variable, given imputed data sets.
Usage
1
Arguments
mids_obj
mids object created by mice package
response
string name of response variable (must be 0-1 valued)
ci_level
desired confidence interval level (defaults to 95%)
summaries
boolean: should summary helper values be printed (default TRUE)
Value
two-length vector of Wilson lower CI and upper CI
Examples
1
2
imp = mice::mice(mice::nhanes %>% dplyr::mutate(hyp = hyp-1))
mi_wilson(imp, "hyp", 0.95)
MIWilson documentation built on Aug. 24, 2021, 1:06 a.m.
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.
Description Usage Arguments Value Examples
Description
Calculates the specified Wilson CI of a binomial proportion variable, given imputed data sets.
Usage
1 |
Arguments
mids_obj |
mids object created by mice package |
response |
string name of response variable (must be 0-1 valued) |
ci_level |
desired confidence interval level (defaults to 95%) |
summaries |
boolean: should summary helper values be printed (default TRUE) |
Value
two-length vector of Wilson lower CI and upper CI
Examples
1 2 | imp = mice::mice(mice::nhanes %>% dplyr::mutate(hyp = hyp-1))
mi_wilson(imp, "hyp", 0.95)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.