adoption {adoption}  R Documentation 
This GUI allows realtime simulations of utility diffusion processes with various paramaters to better understand the dynamics of first trials.
adoption(user = NULL, Tend=25, quantiles = c(0.25, 0.75), included.models = c("Bass (1969)", "Modified Bass", "Goldenberg et al. (2010)", "Generalized Goldenberg", "Rand & Rust (2011)", "Autoregressive (VAR)"), dt = NULL, data = NULL, cumdata = NULL, ...)
user 
string or list of model specifications.
If Otherwise 
Tend 

quantiles 
if given, also the quantiles of the (cumulative) number of adopters
is shown. Note that 
included.models 
character vector of standard models that should be included in the gui. Default is all. 
data, dt, cumdata 
A vector of number of trials 
... 
additional, secondary options, see RFoptions. 
The package allows for parallel computing when the number of repetitions is larger than one. See the example below. HOWEVER THIS FUNCTION MAY NOT BE USED TOGETHER WITH THE R PACKAGE PARALLEL, OR SIMILAR PACKAGES.
Comments on the model definition and the gui are given in file adoption_gui.pdf.
A list of models with the latest parameters chosen.
Martin Schlather, schlather@math.unimannheim.de, http://ms.math.unimannheim.de
N.N., Schlather, M., N.N., (2019) Toward a Generalized Adoption Modeling Framework. Manuscript.
Schlather, M. (2018) Introduction to the Gui of the R package 'adoption'. Technical Report. Attached with the package.
See the file adoption_gui.pdf for an introduction.
RFoptions(cores=2) ## see package RandomFieldsUtils adoption(gui=interactive())