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baymedr is an R package with the goal of providing
researchers with easy-to-use tools for the computation of Bayes factors
for common biomedical research designs. Implemented are functions to
test the equivalence (equiv_bf()), non-inferiority
(infer_bf()), and superiority (super_bf()) of
an experimental group (e.g., a new medication) compared to a control
group (e.g., a placebo or an already existing medication) on a
continuous dependent variable, as well as functions for simulating
survival data (coxph_data_sim()) and calculating a Bayes
factor for Cox proportional hazards models (coxph_bf()). A
special focus of baymedr lies on a user-friendly interface,
so that a wide variety or researchers (i.e., not only statisticians) can
utilize baymedr for their analyses.
To install baymedr use:
install.packages("baymedr")You can install the latest development version of
baymedr from GitHub,
using the devtools package, with:
# install.packages("devtools")
devtools::install_github("maxlinde/baymedr")Subsequently, you can load baymedr, so that it is ready
to use:
library(baymedr)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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