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.scdf_summary | 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_pet | Export scan objects to html or latex |
export.sc_plm | Export scan objects to html or latex |
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 |
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 |