psycModel 0.3.1

Minor Feature:
* Patch release due to insight upgrade from v0.13.2 to v0.14.0

psycModel 0.3.0

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)

psycModel 0.2.1

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

psycModel 0.2.0

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

psycModel 0.1.1

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.

psycModel 0.1.0