Various utility functions for packages in the sparsebn
family
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | 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()
|
x |
a compatible object. |
numnode |
|
m |
a |
df |
a |
li |
a |
check.class |
|
check.names |
|
X |
a matrix. |
string |
a |
data |
a |
ivn |
list of interventions (see |
table |
table of values to compare against. |
tol |
maximum tolerance used for matching. |
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