Man pages for sparsevctrs
Sparse Vectors for Use in Data Frames

coerce_to_sparse_data_frame	Coerce sparse matrix to data frame with sparse columns
coerce_to_sparse_matrix	Coerce sparse data frame to sparse matrix
coerce_to_sparse_tibble	Coerce sparse matrix to tibble with sparse columns
coerce-vector	Coerce numeric vector to sparse double
extractors	Information extraction from sparse vectors
has_sparse_elements	Check for sparse elements
sparse-arithmatic	Vector arithmatic with sparse vectors
sparse-arithmatic-scalar	Scalar arithmatic with sparse vectors
sparse_character	Create sparse character vector
sparse_double	Create sparse double vector
sparse_dummy	Generate sparse dummy variables
sparse_integer	Create sparse integer vector
sparse_is_na	Detect Pressence of Missing Values
sparse_lag	Compute lagged values for sparse vectors
sparse_logical	Create sparse logical vector
sparse_mean	Calculate mean from sparse vectors
sparse_median	Calculate median from sparse vectors
sparse_replace_na	Replace NAs with specified values in sparse vectors
sparse_sd	Calculate standard diviation from sparse vectors
sparse_sqrt	Calculate sqrt of sparse vectors
sparse_var	Calculate variance from sparse vectors
sparsevctrs_options	sparsevctrs options
sparsevctrs-package	sparsevctrs: Sparse Vectors for Use in Data Frames
sparse_which_na	Which indices are Missing Values
sparsity	Calculate sparsity of data frames, matrices, and sparse...
type-predicates	Sparse vector type checkers