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 |