add_between             Add between factors
add_contrast            Add a contrast to a data frame
add_random              Add random factors to a data structure
add_ranef               Add random effects to a data frame
add_recode              Recode a categorical column
add_within              Add within factors
average_r2tau_0         Average r to Random Intercept SD
beta2norm               Convert beta to normal
binom2norm              Convert binomial to normal
check_design            Validates the specified design
check_mixed_design      Get random intercepts for subjects and items
codebook                Create PsychDS Codebook from Data
contr_code_anova        Anova code a factor
contr_code_difference   Difference code a factor
contr_code_helmert      Helmert code a factor
contr_code_poly         Polynomial code a factor
contr_code_sum          Sum code a factor
contr_code_treatment    Treatment code a factor
convert_r               Convert r for NORTA
cormat                  Make a correlation matrix
cormat_from_triangle    Make Correlation Matrix from Triangle
distfuncs               Get distribution functions
dlikert                 Likert density function
faceratings             Attractiveness ratings of faces
faux_options            Set/get global faux options
fh_bounds               Get Fréchet-Hoefding bounds
fix_name_labels         Fix name labels
fr4                     Attractiveness rating subset
gamma2norm              Convert gamma to normal
get_coefs               Get Coefficients from Data
get_contrast_vals       Get contrast values
get_design              Get design
get_design_long         Get design from long data
get_params              Get parameters from a data table
getcols                 Get data columns
interactive_design      Set design interactively
is_pos_def              Check a Matrix is Positive Definite
json_design             Convert design to JSON
long2wide               Convert data from long to wide format
make_id                 Make ID
messy                   Simulate missing data
nbinom2norm             Convert negative binomial to normal
nested_list             Output a nested list in RMarkdown list format
norm2beta               Convert normal to beta
norm2binom              Convert normal to binomial
norm2gamma              Convert normal to gamma
norm2likert             Convert normal to likert
norm2nbinom             Convert normal to negative binomial
norm2norm               Convert normal to normal
norm2pois               Convert normal to poisson
norm2trunc              Convert normal to truncated normal
norm2unif               Convert normal to uniform
plikert                 Likert distribution function
plot_design             Plot design
pos_def_limits          Limits on Missing Value for Positive Definite
                        Matrix
qlikert                 Likert quantile function
readline_check          Check readline input
rlikert                 Random Likert distribution
rmulti                  Multiple correlated distributions
rnorm_multi             Multiple correlated normal distributions
rnorm_pre               Make a normal vector correlated to existing
                        vectors
sample_from_pop         Sample Parameters from Population Parameters
set_design              Set design
sim_design              Simulate data from design
sim_df                  Simulate an existing dataframe
sim_joint_dist          Simulate category joint distribution
sim_mixed_cc            Generate a cross-classified sample
sim_mixed_df            Generate a mixed design from existing data
std_alpha2average_r     Standardized Alpha to Average R
trunc2norm              Convert truncated normal to normal
unif2norm               Convert uniform to normal
unique_pairs            Make unique pairs of level names for
                        correlations
wide2long               Convert data from wide to long format
