Designing Stated Preference Experiments

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Documentation for package ‘spdesign’ version 0.0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

.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_levels	Generic for getting the attributes and levels from the utility function
attribute_level_balance	Check whether we can achieve attribute level balance
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
lognormal	Evaluating a distribution
lognormal_p	Evaluating a distribution
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
normal_p	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
triangular	Evaluating a distribution
triangular_p	Evaluating a distribution
uniform	Evaluating a distribution
uniform_p	Evaluating a distribution
update_utility	Update the utility function
utility_formula	Create formulas from the utility functions
vcov.spdesign	Extract the variance co-variance matrix