Some Utilities for Developing Data Science Software

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Documentation for package ‘oeli’ version 0.7.4

• DESCRIPTION file.
• Package NEWS.

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assert_correlation_matrix	Check correlation matrix
assert_covariance_matrix	Check covariance matrix
assert_list_of_lists	Check list of lists
assert_missing	Check missing formal argument
assert_numeric_vector	Check numeric vector
assert_probability_vector	Check probability vector
assert_transition_probability_matrix	Check transition probability matrix
check_correlation_matrix	Check correlation matrix
check_covariance_matrix	Check covariance matrix
check_list_of_lists	Check list of lists
check_missing	Check missing formal argument
check_numeric_vector	Check numeric vector
check_probability_vector	Check probability vector
check_transition_probability_matrix	Check transition probability matrix
chol_to_cov	Cholesky root of covariance matrix
chunk_vector	Split a vector into chunks
correlated_regressors	Simulate correlated regressor values
cov_to_chol	Cholesky root of covariance matrix
ddirichlet	Dirichlet distribution
ddirichlet_cpp	Dirichlet distribution
delete_columns_data.frame	Deleting 'data.frame' columns
delta	Difference and un-difference covariance matrix
Dictionary	Dictionary R6 Object
diff_cov	Difference and un-difference covariance matrix
dmvnorm	Multivariate normal distribution
dmvnorm_cpp	Multivariate normal distribution
do.call_timed	Measure computation time
dtnorm	Truncated normal distribution
dtnorm_cpp	Truncated normal distribution
dttnorm	Truncated normal distribution
dttnorm_cpp	Truncated normal distribution
dwishart	Wishart distribution
dwishart_cpp	Wishart distribution
find_namespace_calls	Namespace calls
function_arguments	Get function arguments
function_body	Extract function body
function_defaults	Get default function arguments
group_data.frame	Grouping of a 'data.frame'
identical_structure	Check if two objects have identical structure
input_check_response	Standardized response to input check
insert_matrix_column	Insert column in matrix
insert_vector_entry	Insert entry in vector
M	Difference and un-difference covariance matrix
map_indices	Map indices
match_arg	Argument matching
match_numerics	Best-possible match of two numeric vectors
matrix_diagonal_indices	Get indices of matrix diagonal
matrix_indices	Get 'matrix' indices
merge_lists	Merge named lists
occurrence_info	Provide information about occurrences
package_logo	Creating a basic logo for an R package
permutations	Build permutations
print_data.frame	Print (abbreviated) 'data.frame'
print_matrix	Print (abbreviated) 'matrix'
quiet	Silence R code
rdirichlet	Dirichlet distribution
rdirichlet_cpp	Dirichlet distribution
rmvnorm	Multivariate normal distribution
rmvnorm_cpp	Multivariate normal distribution
round_data.frame	Round 'numeric' columns of a 'data.frame'
rtnorm	Truncated normal distribution
rtnorm_cpp	Truncated normal distribution
rttnorm	Truncated normal distribution
rttnorm_cpp	Truncated normal distribution
rwishart	Wishart distribution
rwishart_cpp	Wishart distribution
sample_correlation_matrix	Sample correlation matrix
sample_covariance_matrix	Sample covariance matrix
sample_transition_probability_matrix	Sample transition probability matrices
simulate_markov_chain	Simulate Markov chain
Simulator	Simulator R6 Object
split_vector_at	Split a vector at positions
stationary_distribution	Stationary distribution
Storage	Storage R6 Object
subsets	Generate vector subsets
system_information	General system level information
test_correlation_matrix	Check correlation matrix
test_covariance_matrix	Check covariance matrix
test_list_of_lists	Check list of lists
test_missing	Check missing formal argument
test_numeric_vector	Check numeric vector
test_probability_vector	Check probability vector
test_transition_probability_matrix	Check transition probability matrix
timed	Interrupt long evaluations
try_silent	Try an expression silently
undiff_cov	Difference and un-difference covariance matrix
unexpected_error	Handling of an unexpected error
unique_chol	Cholesky root of covariance matrix
user_confirm	User confirmation
variable_name	Determine variable name
vector_occurrence	Find the positions of first or last occurrence of unique vector elements