NEWS.md

In lebebr01/simglm: Simulate Models Based on the Generalized Linear Model

simglm 1.0.0

Changes: * Change default behavior for factor simulations, order of levels are maintained now instead of alphabetical order which is the default in R.

simglm 0.7.2

• Small maintenance fix for incoming 0.8 dplyr.

simglm 0.7.1

• Release for new tidy simulation framework
• New vignettes showing this functionality

simglm 0.6.3

• Add piecewise linear simulation.

simglm 0.6.2

• Add cross classified model simulation
• Add option to specify any model to fit for power analysis
• This brought about a change to use broom::tidy.

simglm 0.6.1

• Generalize fact_vars code
• This now is similar to cov_param

simglm 0.6.0

• Shiny Application works again!
• Can now simulate and run power.
• Able to download simulation and power tables (I think).

simglm 0.5.3

• Fixed basic functionality of Shiny application
• This includes simulation and power
  • Needs more testing at this stage.

simglm 0.5.2

• Addition of count outcome from sim_glm.
  • This added an additional argument that must be specified:
    • outcome_type = 'logistic' = 0/1 dichotomous simulation
    • outcome_type = 'poisson' = count outcomes.

simglm 0.5.1

• Bug fix for sim_glm when using fact_vars generation options.

simglm 0.5.0

• Heterogeneity of variance simulation
• Flexible time specification for longitudinal models
• Change 'lvl' to 'level' throughout package
• Flexible specification of unbalanced simulation
• Misspecification of model for power analysis
• Expand power output.

simglm 0.4.0

• Update to add ability to simulate covariates from any R distribution function
  • Old code will no longer work with this new version.
  • Added new opts argument to cov_param for optional distribution arguments.
• Adjusted vignettes to follow new code
• Adjusted unit tests.
• Added documentation for changes, including in vignettes.

simglm 0.3.4

• Added a NEWS.md file to track changes to the package.

lebebr01/simglm documentation built on April 8, 2024, 9:03 p.m.