Some Utilities for Developing Data Science Software

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Documentation for package ‘oeli’ version 0.7.2

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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
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
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
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