NEWS

---

psycModel 0.5.0.9000

psycModel 0.5.0 (2023-11-01)

psycModel 0.4.1 (2022-10-03)

Fixes

• Fixed anova plot labelling issue with two-way interaction
• Fixed model_summary print lm model summary when glm model is specified
• Fixed model summary cannot handle aov models
• Fixed the check_factorstructure function to import from performance instead of parameters package

psycModel 0.4.0 (2022-08-29)

Major Feature

• Added support for ANOVA plots (with continuous variable as moderator)
• Added support for polynomial plot (incl. curvilinear plots)
• Added support for Cronbach alpha computation (useful to combine with descriptive_table)

Minor Feature

• Integrate two-way and three-way interaction plot into one function

Fixes

• Fixed the issue that some model assumption checks were not printed
• Fixed the issue that compare_fit function not able to for comparing lm models

psycModel 0.3.3 (2022-08-20)

Fixes

• Fixed control variables must be numeric variables in interaction plots (i.e., added support for factor variables)
• Simple slope no longer need to pass in the interaction_terms and data arguments
• Support multilevel modeling again after fixes introduced in insight package.

psycModel 0.3.2 (2021-09-05)

Fixes

• Drop support for multilevel modeling temporarily due to insight package recent non-backward compatible changes

psycModel 0.3.1 (2021-05-21)

Fixes

• Fixed bugs that measurement invariance does not have row name.

psycModel 0.3.0 (2021-04-21)

Major Feature

• Added support reliability measure summary
• Added support mediation models
• Added 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

• Added support linear regression
  
• Added 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
  

Fixes

• 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)
  

Fixes

• This 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
  

Fixes

• 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

• initial build