| across_cases | Transform every single case of a single case data frame | 
| add_dummy_variables | Add Dummy Variables for Piecewise Linear Models | 
| add_l2 | Add level-2 data | 
| all_cases | Transform every single case of a single case data frame | 
| anova.sc_hplm | ANOVA Table for Piecewise Linear Models | 
| anova.sc_mplm | ANOVA Table for Piecewise Linear Models | 
| anova.sc_plm | ANOVA Table for Piecewise Linear Models | 
| as.data.frame.scdf | Creating a long format data frame from several single-case data frames (scdf). | 
| as.scdf | Single case data frame | 
| as_scdf | as_scdf | 
| autocorr | Autocorrelation for single-case data | 
| batch_apply | Apply a function to each element in an scdf. | 
| between_smd | Between-Case Standardized Mean Difference | 
| bplm | Bayesian Piecewise Linear Model | 
| c.scdf | Combine single-case data frames | 
| cdc | Conservative Dual-Criterion Method | 
| coef.sc_hplm | Hierarchical piecewise linear model / piecewise regression | 
| coef.sc_plm | Extract coefficients from plm/hplm objects | 
| combine | Combine single-case data frames | 
| convert | Convert | 
| corrected_tau | Baseline corrected tau | 
| describe | Descriptive statistics for single-case data | 
| design | Generate a single-case design matrix | 
| estimate_design | Estimate single-case design | 
| export | Export scan objects to html or latex | 
| export.scdf | Export scan objects to html or latex | 
| export.scdf_summary | Export scan objects to html or latex | 
| export.sc_bplm | Bayesian Piecewise Linear Model | 
| export.sc_desc | Export scan objects to html or latex | 
| export.sc_hplm | Hierarchical piecewise linear model / piecewise regression | 
| export.sc_mplm | Multivariate Piecewise linear model / piecewise regression | 
| export.sc_nap | Export scan objects to html or latex | 
| export.sc_overlap | Export scan objects to html or latex | 
| export.sc_pand | Percentage of all non-overlapping data | 
| export.sc_pem | Export scan objects to html or latex | 
| export.sc_pet | Export scan objects to html or latex | 
| export.sc_plm | Piecewise linear model / piecewise regression | 
| export.sc_pnd | Export scan objects to html or latex | 
| export.sc_power | Export scan objects to html or latex | 
| export.sc_smd | Export scan objects to html or latex | 
| export.sc_tauu | Tau-U for single-case data | 
| export.sc_trend | Export scan objects to html or latex | 
| fetch | Fetches elements from scan objects Getter function for scan objects | 
| fill_missing | Replacing missing measurement times in single-case data | 
| first_of | Transform every single case of a single case data frame | 
| hplm | Hierarchical piecewise linear model / piecewise regression | 
| ird | IRD - Improvement rate difference | 
| is.scdf | scdf objects Tests for objects of type "scdf" | 
| local_regression | Transform every single case of a single case data frame | 
| moving_mean | Transform every single case of a single case data frame | 
| moving_median | Transform every single case of a single case data frame | 
| mplm | Multivariate Piecewise linear model / piecewise regression | 
| na.omit.scdf | scdf objects Removes any row with a missing value | 
| nap | Nonoverlap of all Pairs | 
| outlier | Handling outliers in single-case data | 
| overlap | Overlap indices for single-case data | 
| pand | Percentage of all non-overlapping data | 
| pem | Percent exceeding the median | 
| pet | Percent exceeding the trend | 
| plm | Piecewise linear model / piecewise regression | 
| plot.scdf | (Deprecated) Plot single-case data | 
| plotSC | (Deprecated) Plot single-case data | 
| plot_rand | Plot random distribution | 
| pnd | Percentage of non-overlapping data | 
| power_test | Empirical power analysis for single-case data | 
| print.scdf | Print an scdf | 
| print.sc_bcsmd | Between-Case Standardized Mean Difference | 
| print.sc_bplm | Bayesian Piecewise Linear Model | 
| print.sc_hplm | Hierarchical piecewise linear model / piecewise regression | 
| print.sc_ird | IRD - Improvement rate difference | 
| print.sc_mplm | Multivariate Piecewise linear model / piecewise regression | 
| print.sc_pand | Percentage of all non-overlapping data | 
| print.sc_plm | Piecewise linear model / piecewise regression | 
| print.sc_tauu | Tau-U for single-case data | 
| random_scdf | Single-case data generator | 
| rand_test | Randomization Tests for single-case data | 
| rci | Reliable change index | 
| read_scdf | Load single-case data from files | 
| rowwise | Transform every single case of a single case data frame | 
| sample_names | Samples random names | 
| scdf | Single case data frame | 
| scdf-class | Single case data frame | 
| select_cases | Select a subset of cases | 
| select_phases | Select and combine phases for overlap analyses | 
| set_dvar | Set analysis variables in an scdf | 
| set_mvar | Set analysis variables in an scdf | 
| set_pvar | Set analysis variables in an scdf | 
| set_vars | Set analysis variables in an scdf | 
| shinyscan | A Shiny app for scan | 
| smd | Standardized mean differences | 
| style_plot | (Deprecated) Create styles for single-case data plots | 
| subset.scdf | Subset cases, rows, and variables | 
| summary.scdf | Summary function for an scdf | 
| tau_u | Tau-U for single-case data | 
| transform.scdf | Transform every single case of a single case data frame | 
| trend | Trend analysis for single-cases data | 
| write_scdf | Data output |