abcd | Acyclic Behavior Change Diagram |
abcd_specification_empty | Simple example datasets for ABCDs |
abcd_specification_example_xtc | Simple example datasets for ABCDs |
abcd_specs_complete | Simple example datasets for ABCDs |
abcd_specs_dutch_xtc | Simple example datasets for ABCDs |
abcd_specs_examples | Simple example datasets for ABCDs |
abcd_specs_single_po_without_conditions | Simple example datasets for ABCDs |
abcd_specs_without_conditions | Simple example datasets for ABCDs |
apply_graph_theme | Apply multiple DiagrammeR global graph attributes |
BBC_data | Subsets of Party Panel datasets |
BBC_pp15.1 | Subsets of Party Panel datasets |
BBC_pp16.1 | Subsets of Party Panel datasets |
BBC_pp17.1 | Subsets of Party Panel datasets |
BBC_pp18.1 | Subsets of Party Panel datasets |
binaryCIBER | Confidence Interval-Based Estimation of Relevance (CIBER) |
cat0 | Concatenate to screen without spaces |
CIBER | Confidence Interval-Based Estimation of Relevance (CIBER) |
CIBERlite | CIBERlite |
complecs | Create a COMPLECS graph |
complecs_to_precede | Represent a COMPLECS specification as a PRECEDE model |
convert.er.to.threshold | Visualising Numbers Needed for Change |
convert.threshold.to.er | Visualising Numbers Needed for Change |
determinantSelectionTable_partial | Potential for Change Index and the Determinant Selection Table |
determinantStructure | Determinant Structure specification |
determinantVar | Determinant Structure specification |
determinant_selection_table | Potential for Change Index and the Determinant Selection Table |
detStructAddVarLabels | Functions to preprocess determinant structures |
detStructAddVarNames | Functions to preprocess determinant structures |
detStructCIBER | Confidence Interval-Based Estimation of Relevance (CIBER) |
detStructComputeProducts | Functions to preprocess determinant structures |
detStructComputeScales | Functions to preprocess determinant structures |
detStructPreprocessing | Functions to preprocess determinant structures |
dMCD | Estimate Cohen's d corresponding to a Meaningful Change Definition |
erDataSeq | Visualising Numbers Needed for Change |
get | Options for the behaviorchange package |
ggNNC | Visualising Numbers Needed for Change |
intervention_potential | Potential for Change Index and the Determinant Selection Table |
knit_print.determinantSelectionTable | Potential for Change Index and the Determinant Selection Table |
lm_rSq_ci | Obtaining an R squared confidence interval estimate for an lm regression |
nnc | Numbers Needed for Change |
nncvis | Visualising Numbers Needed for Change |
nnt | Numbers Needed for Change |
opts | Options for the behaviorchange package |
partypanelData | Subsets of Party Panel datasets |
pies | Practically Important Effect Sizes |
plot.determinantStructure | Determinant Structure specification |
potential_for_change_index | Potential for Change Index and the Determinant Selection Table |
print.abcdiagram | Acyclic Behavior Change Diagram |
print.complecs | Create a COMPLECS graph |
print.determinantSelectionTable | Potential for Change Index and the Determinant Selection Table |
print.determinantStructure | Determinant Structure specification |
print.dMCD | Estimate Cohen's d corresponding to a Meaningful Change Definition |
print.nnc | Numbers Needed for Change |
P_delta | Potential for Change Index and the Determinant Selection Table |
repeatStr | Repeat a string a number of times |
repStr | Repeat a string a number of times |
reset | Options for the behaviorchange package |
room_for_improvement | Potential for Change Index and the Determinant Selection Table |
set | Options for the behaviorchange package |
subdeterminantProducts | Determinant Structure specification |
subdeterminants | Determinant Structure specification |
vecTxt | Easily parse a vector into a character value |
vecTxtQ | Easily parse a vector into a character value |
wrapVector | Wrap all elements in a vector |