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 |