count: Class "count"

In mi: Missing Data Imputation and Model Checking

Class "count"

Description

The count class inherits from the missing_variable-class and is intended for count data. Aside from these facts, the rest of the documentation here is primarily directed toward developers.

Objects from the Classes

Objects can be created that are of count class via the missing_variable generic function by specifying type = "count"

Slots

The count class inherits from the missing_variable class and its raw_data slot must consist of nonnegative integers. Its default family is quasipoisson and its default fit_model method is a wrapper for bayesglm. The other possibility for the family is poisson but is not recommended due to its overly-restrictive nature.

Author(s)

Ben Goodrich and Jonathan Kropko, for this version, based on earlier versions written by Yu-Sung Su, Masanao Yajima, Maria Grazia Pittau, Jennifer Hill, and Andrew Gelman.

See Also

missing_variable, continuous-class, positive-continuous-class, proportion-class

Examples

# STEP 0: GET DATA
data(CHAIN, package = "mi")

# STEP 0.5 CREATE A missing_variable (you never need to actually do this)
age <- missing_variable(as.integer(CHAIN$age), type = "count")
show(age)

mi documentation built on June 7, 2022, 1:04 a.m.