0. Overview of the package

0. Analysis workflow & supported model types

Analysis can be performed in the following simple steps.

Figure: Overall analysis workflow

Supported model types are as follows:

	Binary endpoint		Continuous endpoint
	Linear (logit)	Emax (logit)	Linear	Emax
backend	`rstanarm`	`rstanemax`	`rstanarm`	`rstanemax`
reference	🔗	🔗	🔗	🔗
develop model	✅	✅	✅	✅
simulate & plot ER	✅	✅	✅	✅
exposure metrics selection	✅	✅	✅	✅
covariate selection	✅	❌	✅	❌
covariate forest plot	✅	❌	✅	❌
✅ Available, 🟡 In plan/under development, ❌ Not in a current plan

The package provides a set of functions to develop ER models. The following functions are available:

Binary endpoint

Linear logistic regression:
- dev_ermod_bin(), dev_ermod_bin_exp_sel(), dev_ermod_bin_cov_sel()
E_max logistic regression:
- dev_ermod_bin_emax(), dev_ermod_bin_emax_exp_sel()

Continuous endpoint

Linear regression:
- dev_ermod_lin(), dev_ermod_lin_exp_sel(), dev_ermod_lin_cov_sel()
E_max model:
- dev_ermod_emax(), dev_ermod_emax_exp_sel()

Figure: dev_ermod_*() functions

The following functions are available for simulation from developed ER models:

Figure: sim_er_*() functions

Simulated ER curve can be visualized with the following functions:

Figure: plot_er_*() functions