The mipo object contains the results of the pooling step.
The function pool generates an object of class mipo.
mipo(mira.obj, ...) # S3 method for mipo summary( object, type = c("tests", "all"), conf.int = FALSE, conf.level = 0.95, exponentiate = FALSE, ... ) # S3 method for mipo print(x, ...) # S3 method for mipo.summary print(x, ...) process_mipo(z, x, conf.int = FALSE, conf.level = 0.95, exponentiate = FALSE)
| mira.obj | An object of class |
|---|---|
| ... | Arguments passed down |
| object | An object of class |
| conf.int | Logical indicating whether to include
a confidence interval. The default is |
| conf.level | Confidence level of the interval, used only if
|
| exponentiate | Flag indicating whether to exponentiate the coefficient estimates and confidence intervals (typical for logistic regression). |
| x | An object of class |
| z | Data frame with a tidied version of a coefficient matrix |
The summary method returns a data frame with summary statistics of the pooled analysis.
An object class mipo is a list with
elements: call, m, pooled and glanced.
The pooled elements is a data frame with columns:
estimate | Pooled complete data estimate |
ubar | Within-imputation variance of estimate |
b | Between-imputation variance of estimate |
t | Total variance, of estimate |
dfcom | Degrees of freedom in complete data |
df | Degrees of freedom of $t$-statistic |
riv | Relative increase in variance |
lambda | Proportion attributable to the missingness |
fmi | Fraction of missing information |
The names of the terms are stored as row.names(pooled).
The glanced elements is a data.frame with m rows.
The precise composition depends on the class of the complete-data analysis.
At least field nobs is expected to be present.
The process_mipo is a helper function to process a
tidied mipo object, and is normally not called directly.
It adds a confidence interval, and optionally exponentiates, the result.
van Buuren S and Groothuis-Oudshoorn K (2011). mice:
Multivariate Imputation by Chained Equations in R. Journal of
Statistical Software, 45(3), 1-67.
https://www.jstatsoft.org/v45/i03/