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+* **New system-independent method for pooling**: This version introduces a new function `pool.table()` that takes a tidy table of parameter estimates stemming from `m` repeated analyses. The input data must consist of three columns (parameter name, estimate, standard error) and a specification of the degrees of freedom of the model fitted to the complete data. The `pool.table()` function outputs 14 pooled statistics in a tidy form. The primary use of `pool.table()` is to support parameter pooling for techiques that have no `tidy()` or `glance()` methods, either within `R` or outside `R`. The `pool.table()` function also allows for a novel workflows that 1) break apart the traditional `pool()` function into a data-wrangling part and a parameters-reducing part, and 2) does not necessarily depend on classed R objects.
+
 # mice 3.16.2
 
 * **Breaking change:** The `complete(..., action = "long", ...)` command puts the columns named `".imp"` and `".id"` in the last two positions of the long data (instead of first two positions).  In this way, the columns of the imputed data will have the same positions as in the original data, which is more user-friendly and easier to work with. Note that any existing code that assumes that variables `".imp"` and `".id"` are in columns 1 and 2 will need to be modified. The advice is to modify the code using the variable names `".imp"` and `".id"`. If you want the old behaviour, specify the argument `order = "first"`. (#569). Contributed @stefvanbuuren