| across_cases | Transform every single case of a single case data frame |
| add_l2 | Add level-2 data |
| all_cases | Transform every single case of a single case data frame |
| 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. |
| 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.sc_desc | Export scan objects to html or latex |
| export.sc_hplm | Hierarchical 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_plm | 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 |
| 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 |
| 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 | Plot single-case data |
| plotSC | 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_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_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 |
| 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 | 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 |