Package index • oeli

Distribution

These functions help to work with distributions.

ddirichlet_cpp() rdirichlet_cpp() ddirichlet() rdirichlet(): Dirichlet distribution

dmvnorm_cpp() rmvnorm_cpp() dmvnorm() rmvnorm(): Multivariate normal distribution

dtnorm_cpp() dttnorm_cpp() rtnorm_cpp() rttnorm_cpp() dtnorm() dttnorm() rtnorm() rttnorm(): Truncated normal distribution

dwishart_cpp() rwishart_cpp() dwishart() rwishart(): Wishart distribution

Functional

These functions help to work with functions.

function_arguments(): Get function arguments

function_body(): Extract function body

function_defaults(): Get default function arguments

quiet(): Silence R code

try_silent(): Try an expression silently

variable_name(): Determine variable name

Indexing

These functions help to index objects.

Dictionary: Dictionary R6 Object

Storage: Storage R6 Object

map_indices(): Map indices

match_numerics(): Best-possible match of two numeric vectors

matrix_diagonal_indices(): Get indices of matrix diagonal

matrix_indices(): Get matrix indices

permutations(): Build permutations

subsets(): Generate vector subsets

vector_occurrence(): Find the positions of first or last occurrence of unique vector elements

Packaging

These functions help to build a package.

input_check_response(): Standardized response to input check

match_arg(): Argument matching

package_logo(): Creating a basic logo for an R package

print_data.frame(): Print (abbreviated) data.frame

print_matrix(): Print (abbreviated) matrix

unexpected_error(): Handling of an unexpected error

Simulation

These functions help to simulate something.

correlated_regressors(): Simulate correlated regressor values

do.call_timed(): Measure computation time

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

timed(): Interrupt long evaluations

Transformation

These functions help to transform an input.

chunk_vector(): Split a vector into chunks

cov_to_chol() chol_to_cov() unique_chol(): Cholesky root of covariance matrix

delete_columns_data.frame(): Deleting data.frame columns

diff_cov() undiff_cov() delta() M(): Difference and un-difference covariance matrix

group_data.frame(): Grouping of a data.frame

insert_matrix_column(): Insert column in matrix

insert_vector_entry(): Insert entry in vector

merge_lists(): Merge named lists

round_data.frame(): Round numeric columns of a data.frame

split_vector_at(): Split a vector at positions

stationary_distribution(): Stationary distribution

Validation

These functions help to validate an input.

check_correlation_matrix() assert_correlation_matrix() test_correlation_matrix(): Check correlation matrix

check_covariance_matrix() assert_covariance_matrix() test_covariance_matrix(): Check covariance matrix

check_list_of_lists() assert_list_of_lists() test_list_of_lists(): Check list of lists

check_numeric_vector() assert_numeric_vector() test_numeric_vector(): Check numeric vector

check_probability_vector() assert_probability_vector() test_probability_vector(): Check probability vector

check_transition_probability_matrix() assert_transition_probability_matrix() test_transition_probability_matrix(): Check transition probability matrix

identical_structure(): Check if two objects have identical structure

system_information(): General system level information

user_confirm(): User confirmation