fitEmaxB fit an Emax model
to binary or continuous data using maximum likelihood or Bayesian estimation.
They have several generic supporting functions.
Functions to produce plots associated with dose response
analyses are (
simulations of 4- and 3-parameter Emax ML or Bayesian estimation.
The ML estimates are replaced with alternative
model fits when the primary estimation fails. Several supporting
functions are supplied to analyze the output of
including analyses for specific simulated data sets. All of the data sets
from dose response meta analyses are included in
compileStanModels must be executed once after the package is
installed to create compiled
STAN Emax models before the Bayes functions
in the package can be executed. This requires 3-10 minutes to complete on most
machines. The compiled code is 32-bit or 64-bit specific, and both must be created if
both versions of R are used.
The Bayesian computations use the R package
rstan. It can be installed from CRAN. Windows users should check the instructions for
rstan at the https://mc-stan.org and https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started.
Rtools must be installed, which is a simple, but often overlooked step. Instructions for its installation are given in the second URL.
Neal Thomas [aut, cre], Jing Wu[aut]
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.