| add_linebreaks | Add line breaks to a linear predictor string |
| add_samples | Continue sampling from an object of class JointAI |
| all_vars | Extract names of variables from a (list of) formula(s) |
| bs | B-Spline Basis for Polynomial Splines |
| check_formula_list | Check/convert formula to list |
| check_full_blockdiag | Replace a full with a block-diagonal variance covariance... |
| check_rd_vcov | Check / create the random effects variance-covariance matrix... |
| check_rd_vcov_list | First validation for rd_vcov |
| clean_survname | Convert a survival outcome to a model name |
| combine_formula_lists | Combine fixed and random effects formulas |
| combine_formulas | Combine a fixed and random effects formula |
| default_hyperpars | Get the default values for hyper-parameters |
| densplot | Plot the posterior density from object of class JointAI |
| difftime_df | Converts a 'difftime' object to a 'data.frame' |
| duration_obj | Create a duration object |
| expand_rd_vcov_full | Expand rd_vcov using variable names in case "full" is used |
| extract_id | Extract all id variables from a list of random effects... |
| extract_lhs | Extract the left hand side of a formula |
| extract_state | Return the current state of a 'JointAI' model |
| get_family | Identify the family from the covariate model type |
| get_MIdat | Extract multiple imputed datasets from an object of class... |
| get_missinfo | Obtain a summary of the missing values involved in an object... |
| get_Mlist | Re-create the full 'Mlist' from a "JointAI" object |
| get_modeltype | Identify the general model type from the covariate model type |
| get_nranef | Extract the number of random effects |
| get_resp_mat | Identify the data matrix containing a given response variable |
| GR_crit | Gelman-Rubin criterion for convergence |
| hc_rdslope_info | Get info on the main effects in a random slope structure for... |
| hc_rdslope_interact | Get info on the interactions with random slopes for a given... |
| JointAI | JointAI: Joint Analysis and Imputation of Incomplete Data |
| JointAIObject | Fitted object of class 'JointAI' |
| list_models | List model details |
| longDF | Longitudinal example dataset |
| MC_error | Calculate and plot the Monte Carlo error |
| md_pattern | Missing data pattern |
| model_imp | Joint Analysis and Imputation of incomplete data |
| NHANES | National Health and Nutrition Examination Survey (NHANES)... |
| ns | Generate a Basis Matrix for Natural Cubic Splines |
| parameters | Parameter names of an JointAI object |
| paste_coef | Write the coefficient part of a linear predictor |
| paste_data | Write the data element of a linear predictor |
| paste_linpred | Write a linear predictor |
| paste_scale | Create the scaling in a data element of a linear predictor |
| paste_scaling | Wrap a data element of a linear predictor in scaling syntax |
| PBC | PBC data |
| plot_all | Visualize the distribution of all variables in the dataset |
| plot_imp_distr | Plot the distribution of observed and imputed values |
| plot.JointAI | Plot an object object inheriting from class 'JointAI' |
| predDF | Create a new data frame for prediction |
| predict.JointAI | Predict values from an object of class JointAI |
| rd_vcov | Extract the random effects variance covariance matrix Returns... |
| reformat_difftime | Set all elements of a 'difftime' object to the same, largest... |
| remove_lhs | Remove the left hand side of a (list of) formula(s) |
| residuals.JointAI | Extract residuals from an object of class JointAI |
| set_refcat | Specify reference categories for all categorical covariates... |
| sharedParams | Parameters used by several functions in JointAI |
| simLong | Simulated Longitudinal Data in Long and Wide Format |
| split_formula | Split a formula into fixed and random effects parts |
| split_formula_list | Split a list of formulas into fixed and random effects parts. |
| sum_duration | Calculate the sum of the computational duration of a JointAI... |
| summary.JointAI | Summarize the results from an object of class JointAI |
| Surv | Create a Survival Object |
| traceplot | Create traceplots for a MCMC sample |
| wideDF | Cross-sectional example dataset |
