Various utility functions for packages in the sparsebn family
pick_family(x)reIndexC(x)
reIndexR(x)
default_max_iters(numnode)
default_alpha()
check_if_matrix(m)
check_if_data_matrix(df)
check_if_complete_data(df)
check_if_numeric_data(df)
check_null(x)
check_na(x)
count_nas(df)
list_classes(li)
auto_generate_levels(df)
auto_count_levels(df)
check_list_class(li, check.class)
check_list_numeric(li)
check_list_names(li, check.names)
col_classes(X)
capitalize(string)
recode_levels(x)
convert_factor_to_discrete(x)
cor_vector_ivn(data, ivn = NULL)
pmatch_numeric(x, table, tol = 0.1)
zero_threshold()
a compatible object.
integer number of nodes.
a matrix.
a data.frame.
a list.
character class name to compare against.
character names to compare against.
a matrix.
a character string.
a data.frame.
list of interventions (see sparsebnData).
table of values to compare against.
maximum tolerance used for matching.