This vignette provides an overview of BayesERtools
.
Analysis can be performed in the following simple steps.
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:
dev_ermod_bin()
, dev_ermod_bin_exp_sel()
,
dev_ermod_bin_cov_sel()
dev_ermod_emax()
The following functions are available for simulation from developed ER models:
sim_er()
sim_er_new_exp()
, sim_er_curve()
sim_er_new_exp_marg()
,
sim_er_curve_marg()
Simulated ER curve can be visualized with the following functions:
plot_er()
plot_er_exp_sel()
Figure created in https://www.biorender.com