- Fixes bug with very long lists of variables in
`build_model()`

or`cell_means()`

- Properly throws error for
`graph_model()`

when required inputs are not specified - Fixes bug with
`beta()`

for glm models that include an offset value - Fixes bug with
`simple_slopes()`

when one variable name is a subset of another variable name - Fixes bug with
`simple_slopes()`

when default contrast options are changed

- Adds David Beiner as a co-maintainer of the package
- Support for confidence intervals for
`simple_slopes()`

BUG FIX

- Fixes warning raised when using a long formula with
`simple_slopes()`

BUG FIXES

- Fixes errors in
`beta()`

and`simple_slopes()`

resulting from factor variables that have spaces or other special characters - Adds support for character vectors added to models, where R silently converts them to factors
- Fixes error in
`graph_model()`

documentation

BUG FIX

- Fixes error raised when weights were used in
`lm`

and`lme4`

models. This occurred in several functions, including`beta()`

,`simple_slopes()`

, and`sig_regions()`

. Weights should now properly be applied without issue.

Just a note: While reghelper has officially reached version 1.0.0, the fact is that it has been stable and relatively feature complete quite some time. The change from v0.3.6 to v1.0.0 is not drastic, but does involve some minor breaking changes, hence an increase to the major version number. But quite frankly, it should have been bumped to v1.x a long time ago.

BREAKING CHANGES

- The
`beta()`

method has now been removed for`nlme`

and`lme4`

models. These had been deprecated in the previous release. See the README for more details: https://github.com/jeff-hughes/reghelper - Minor breaking changes. These should not impact most users, but
could impact those who are extracting elements from the output of these
functions in a programmatic fashion:
`simple_slopes()`

for an`lme4`

model now returns a data frame of class`simple_slopes`

rather than`simple_slopes_lme4`

- When running
`simple_slopes()`

with categorical variables with more than two levels (i.e. a factor variable with two or more contrasts), the output now provides the name of the contrast in the parentheses after the`sstest`

label. Users who are extracting values should use`startsWith(value, 'sstest')`

rather than`value == 'sstest'`

to match appropriately.

BUG FIXES

- Fixes issues with incorrect variable labels in
`simple_slopes()`

output when there is more than one categorical variable with more than two levels. - Provides better support for
`lmerTest`

models in`simple_slopes()`

This release deprecates the `beta()`

method for
`nlme`

and `lme4`

models. See the README for more
details: https://github.com/jeff-hughes/reghelper

This is a patch release to fix a bug in the beta() function, to allow use of lmerTest models.

This is a patch release to cover changes made to the ggplot2 package.

BUG FIXES

- Fixed simple_slopes() to cover cases of contrasts that have no column names.

This is a patch release covering changes necessary to prepare for submission to CRAN. Most changes will not affect current code; however, be aware of the following changes:

Many of the functions have had the dots parameter (…) added, to ensure consistency with the S3 generic function. However, any extra parameters will simply be ignored. Thus, this does not impact any user code.

Package functions which implement the following generic methods have had their first parameter renamed, again for consistency with the S3 generic: summary, print, coef, residuals, fitted. In most cases, this will not impact user code, unless you have used named parameters, e.g.,

`summary(model=results)`

should now be`summary(object=results)`

.

BUG FIXES

Fixed bug when using

`build_model`

but only providing a single model to be run.Created special print method for

`simple_slopes`

so that “lme4” models print correctly.Fixed bug (correctly this time) with

`simple_slopes`

using incorrect contrasts for factor variables.

BUG FIXES

- Fixed bug with
`simple_slopes`

using incorrect contrasts for factor variables. Resolves Issue #2.

`build_model`

now drops missing data based on the variables included in the final model, so that all models are tested on the same data.The

`titles`

parameter of`graph_model`

has been changed to`labels`

, and now takes a named list rather than relying on the index of a character vector.`graph_model`

function extended to include`lme`

and`merMod`

models.

NEW FEATURES

`beta`

function extended to include`lme`

and`merMod`

models.`build_model`

function extended to include`aov`

and`glm`

models.`cell_means`

function extended to include`glm`

models.`graph_model`

function extended to include`aov`

and`glm`

models.`sig_regions`

function extended to include`glm`

models.

MAJOR CHANGES

- Changed
`block_lm`

function name to`build_model`

.

NEW FEATURES

Added examples to documentation for all functions.

`beta`

function extended to include`glm`

models.`cell_means`

function extended to include`aov`

models.`ICC`

function extended to include`merMod`

models (from “lme4” package).`simple_slopes`

function extended to include`aov`

,`glm`

,`lme`

, and`merMod`

models.`simple_slopes`

now includes`print`

function to include significance stars.

BUG FIXES

- Fixed bug with passing variables names to
`build_model`

,`cell_means`

, and`graph_model`

. Resolves Issue #1.

NEW FEATURES

`beta`

function calculates standardized beta coefficients.`block_lm`

function allows variables to be added to a series of regression models sequentially (similar to SPSS).`ICC`

function calculates the intra-class correlation for a multi-level model (lme only at this point).`cell_means`

function calculates the estimated means for a fitted model.`graph_model`

function graphs interactions at +/- 1 SD (uses ggplot2 package).`simple_slopes`

function calculates the simple effects of an interaction.`sig_regions`

function calculate the Johnson-Neyman regions of significance for an interaction.