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reghelper

Helper Functions for Regression Analysis

A set of functions used to automate commonly used methods in regression analysis. This includes plotting interactions, and calculating simple slopes, standardized coefficients, regions of significance (Johnson & Neyman, 1936; cf. Spiller et al., 2012), etc. See the reghelper documentation for more information, documentation, and examples.

Functions (14)

ICC

Intra-class correlation.

beta

Standardized coefficients of a model.

block_model_summ

Summary functions for build_model block regression models.

build_model

Incremental block modelling.

build_model_q

Incremental block modelling.

cell_means

Estimated values of a linear model.

cell_means_q

Estimated values of a linear model.

graph_model

Graph interactions for fitted models.

graph_model_q

Graph interactions for fitted models.

print.simple_slopes

Print simple slopes.

print.simple_slopes_lme4

Print simple slopes.

reghelper

reghelper: A package to help with running regression analyses.

sig_regions

Regions of significance for an interaction.

simple_slopes

Simple slopes of an interaction.

reghelper

Helper Functions for Regression Analysis

v1.0.2
GPL-3
Authors
Jeffrey Hughes [aut, cre]
Initial release
2021-02-19

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