Function reference • behaviorchange

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

Reference

All functions