Bugs fixed:
Major Feature:
* Support reliability measure summary * Support mediation * Support generalized linear regression (glm
and glmer
without plot)
Minor Feature:
* cfa_summary
support path diagram * efa_summary
rewrite using functions from parameters
and support post-hoc CFA test * cfa_summary
support factor loading is hidden for same latent factor (only when group = NULL
) * cor_test
and descriptive_table
support rich-text formatted table output * model_summary
rewrite using parameters::model_parameters
* integrate summary with plot for lm_summary
to integrated_model_summary
* cor_test
re-write using the correlation package, so it supports more methods and robust standard errors * quite
and streamline
support in all models that print output * Give instruction on how to use R Markdown (see knit_to_Rmd
)
Major Feature:
* Support linear regression
* Support exploratory factor analysis
* Complete overhaul to produce rich-text formatted summary output
Minor Feature:
* measurement_invariance
support multiple-factor model with tidyselect syntax
* model_summary_with_plot
support outlier detection
* Changed data from EWCS_2015_shorten to popular (a data-set that is easier to understand)
* Added a new function that allow convert HTML to PDF function for knitting Rmd
* model_performance
support a wider array of model performance measure
* cfa_summary
and measurement_invariance
support checking goodness of fit
Bugs fixed
* Critical bug fix for model_summary_with_plot
. You can no request simple_slope
and check_assumption
correctly.
* Critical bug fix that cor_test
is not exported
* remove some packages from import and switch to requireNamespace()
* added fallback for normality check
Major Feature:
* lme_model
, model_summary_with_plot
support tidyselect syntax
* cfa_summary
support multi-factor CFA with tidyselect syntax
Minor Feature:
* Added assumption_plot
to visually inspect assumptions for mixed effect models in model_summary_with_plot
* two_way_interaction_plot
, three_way_interaction_plot
only require the model object to produce the plot.
* lme_model
, model_summary_with_plot
support using lme4
package.
* model_summary_with_plot
lme_model
support passing explicit model
* compare_fit
support more model comparison (e.g., lme, glme)
Bugs fixed:
* the current version build pass CMD check
* measurement_invariance
stop using semTools::compareFit
. Added a self-created compare_fit
function for the package
* remove papaja::apa_theme()
dependency.
* use .data
from rlang
for mutate
function
* model_summary_with_plot
always return list and changed to logical (set to T to return result_list)
* model_summary_with_plot
return a named list object
New Feature: * descriptive_table
support wider array of descriptive indicator (e.g., median, range) and missing & non_missing values count
Bugs fixed: * Fixed the cor_test
bug that the function return a correlation matrix with blank cells if the correlation is too high between the two items (rounded to 1).
* Add a data_check
function that warns the users if non-numeric variables are coerced into numeric.