.onAttach               Print package startup message
all_priors_and_levels_specified
                        Check whether all priors and attributes have
                        specified levels
any_duplicates          Check whether any priors or attributes are
                        specified with a value more than once
attribute_level_balance
                        Check whether we can achieve attribute level
                        balance
attribute_levels        Generic for getting the attributes and levels
                        from the utility function
attribute_names         Generic for getting the attribute names
block                   Block the design
calculate_a_error       A-error
calculate_c_error       C-error
calculate_d_error       D-error
calculate_efficiency    Calculate efficiency
calculate_efficiency_criteria
                        Calculate efficiency criteria
calculate_s_error       S-error
clean_utility           Cleans the utility expression
coef.spdesign           Generic for extracting the vector of priors
contains_dummies        Check whether the utility function contains
                        dummy coded variables
cor                     Correlation
cycle                   Cycling of attribute levels
define_base_x_j         Define base x_j
define_x_j              Define x_j
derive_vcov             Derive the variance covariance matrix of the
                        design
derive_vcov_mnl         Derive the variance covariance matrix for the
                        MNL model
derive_vcov_rpl         Derive the variance covariance matrix for the
                        RPL model
digitize                Expand the sequence of integers
dummy_names             Find the position of the dummy coded attributes
evaluate_design_candidate
                        Evaluate the design candidate
exclude                 Exclude rows from the candidate set
expand_attribute_levels
                        Expand the list of attributes and levels to the
                        "wide" format
extract_all_names       Extract all names
extract_attribute_names
                        Extract attribute names
extract_distribution    Extract distributions
extract_level_occurrence
                        Extract the frequency of levels
extract_named_values    Extracts the named values of the utility
                        function
extract_param_distribution
                        Extract the parameter distribution
extract_param_names     Extract parameter names
extract_prior_distribution
                        Extract the prior distribution
extract_specified       Extract specified
extract_unparsed_values
                        Extract unparsed named values of the utilitiy
                        function
extract_values          Extract the value argument(s)
federov                 Find a design using a modified Federov
                        algorithm
fits_lvl_occurrences    Test whether a design candidate fits the
                        constraints imposed by the level occurrences
full_factorial          Generate the full factorial
generate_design         Generate an efficient experimental design
generate_rsc_candidate
                        Generates a candidate for the RSC algorithm
has_bayesian_prior      Tests whether the utility expression contains
                        Bayesian priors
has_random_parameter    Tests whether the utility expression contains
                        random parameters
is_balanced             Tests whether a utility function is balanced
level_balance           Print level balance of your design
lvl_occurrences         Attribute level occurrence lookup tables
make_draws              Make random draws
make_mlhs               Make Modified Latin Hypercube Draws
make_pseudo_random      Make pseudo random draws
make_scrambled_halton   Make scrambled Halton draws
make_scrambled_sobol    Make scrambled sobol draws
make_standard_halton    Wrapper for halton()
make_standard_sobol     Make sobol draws
min_lvl_occurrence      Find minimum level occurrences
nlvls                   Find the number of levels
normal                  Evaluating a distribution
occurrences             Extract or set attribute level occurrences
prepare_priors          Prepare the list of priors
print.spdesign          A generic function for printing an 'spdesign'
                        object
print_efficiency_criteria
                        Creates a printable version of the efficiency
                        criteria
print_initial_header    Prints the initial header for the table of
                        results
print_iteration_information
                        Prints iteration information
priors                  Generic for extracting the vector of priors
probabilities           Calculate the probabilities of the design
probabilities_mnl       Calculate the MNL probabilities
radical_inverse         Compute the radical inverse
random                  Make a random design
random_design_candidate
                        Create a random design_object candidate
relabel                 Relabeling of attribute levels
remove_all_brackets     Removes all brackets
remove_prior            Removes the parameter from the utility string
remove_round_brackets   Remove round bracket
remove_square_brackets
                        Remove square bracket
remove_whitespace       Remove all white spaces
rep_cols                Repeat columns
rep_rows                Repeat rows
rsc                     Make a design candidate based on the rsc
                        algorithm
set_default_level_occurrence
                        Sets the default level occurrence in an
                        attribute level balanced design
set_default_options     Validate design opt
shuffle                 Shuffle the order of points in the unit
                        interval.
summary.spdesign        Create a summary of the experimental design
swap                    Swapping of attribute
too_small               Check if the design is too small
transform_distribution
                        Transform distribution
transform_lognormal     Transform to the lognormal distribution
transform_normal        Transform to the normal distribution
transform_triangular    Transform to the triangular distribution
transform_uniform       Transform to the uniform distribution
update_utility          Update the utility function
utility_formula         Create formulas from the utility functions
vcov.spdesign           Extract the variance co-variance matrix
