Function reference • crossmap

All functions
`autonames()`	Automatically generate names for vectors
`cross_fit()`	Cross map a model across multiple formulas, subsets, and weights
`cross_fit_glm()`	Cross fit generalized linear models
`cross_fit_robust()`	Cross fit robust linear models
`cross_join()`	Crossing join
`cross_list()` `cross_tbl()`	List all combinations of values
`future_map_vec()` `future_map2_vec()` `future_pmap_vec()` `future_imap_vec()` `future_xmap_vec()`	Parallelized mapping functions that automatically determine type
`future_xmap()` `future_xmap_chr()` `future_xmap_dbl()` `future_xmap_dfc()` `future_xmap_dfr()` `future_xmap_int()` `future_xmap_lgl()` `future_xmap_raw()` `future_xwalk()`	Map over each combination of list elements simultaneously via futures
`future_xmap_mat()` `future_xmap_arr()`	Parallelized cross map returning a matrix or array
`map_vec()` `map2_vec()` `pmap_vec()` `imap_vec()` `xmap_vec()`	Mapping functions that automatically determine type
`tidy_glance()`	Turn an object into a tidy tibble with glance information
`xmap()` `xmap_chr()` `xmap_dbl()` `xmap_dfc()` `xmap_dfr()` `xmap_int()` `xmap_lgl()` `xmap_raw()` `xwalk()`	Map over each combination of list elements
`xmap_mat()` `xmap_arr()`	Return a table applying a function to all combinations of list elements
`xpluck()`	Get one or more elements deep within a nested data structure

Reference