FormatData              Formats the data for NBDA
Ids                     This dataset contains the unique id for each
                        individual in each group. This is part of the
                        data example to demonstrate modelling NBDA with
                        random effects.
Times                   This dataset contains the diffusion times using
                        in the This is part of the data example to
                        demonstrate modelling NBDA with random effects.
Xx                      x coordinates for data example for NBDA with
                        random effects at the individual level. x and y
                        coordinates are required to construct the
                        spatially dervied social network.
Yy                      y coordinates for data example for NBDA with
                        random effects at the individual level. x and y
                        coordinates are required to construct the
                        spatially dervied social network.
idarray                 Individual id's for RJMCMC Example 1.
mcmc                    Performs spatial NBDA in a Bayesian context
mcmcre                  Performs NBDA with individual level random
                        effects
nullmcmc                The spatial NBDA null model is considered for
                        this analysis. The baseline rate parameter is
                        estimated.
papernests              papernests
papertimes              papertimes
rjmcmc                  Model discriminiation in a Bayesian context for
                        spatial NBDA.
smcmc                   Performs spatial NBDA in a Bayesian context
                        with an environmental covariate
socialx                 x coordinates for RJMCMC Example 1.
socialy                 y coordinates for RJMCMC Example 1
spatialnbda             Performs spatial NBDA in a Bayesian context.
timearray               Diffusions times for RJMCMC Example 1
x                       x
y                       y
