| 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 | 
| check_sim_stats | Get parameters from a data table | 
| 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 | 
| getcols | Get data columns | 
| 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 | 
| 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 | 
| plot.faux | Plot design | 
| 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 |