| rubin_df {rbmi} | R Documentation | 
Barnard and Rubin degrees of freedom adjustment
Description
Compute degrees of freedom according to the Barnard-Rubin formula.
Usage
rubin_df(v_com, var_b, var_t, M)
Arguments
| v_com | Positive number representing the degrees of freedom in the complete-data analysis. | 
| var_b | Between-variance of point estimate across multiply imputed datasets. | 
| var_t | Total-variance of point estimate according to Rubin's rules. | 
| M | Number of imputations. | 
Details
The computation takes into account limit cases where there is no missing data
(i.e. the between-variance var_b is zero) or where the complete-data degrees of freedom is
set to Inf. Moreover, if v_com is given as NA, the function returns Inf.
Value
Degrees of freedom according to Barnard-Rubin formula. See Barnard-Rubin (1999).
References
Barnard, J. and Rubin, D.B. (1999). Small sample degrees of freedom with multiple imputation. Biometrika, 86, 948-955.
[Package rbmi version 1.2.6 Index]