ewp_reg function

Exponentially weighted Poisson regression model

ewp_reg(
  formula,
  family = "ewp3",
  data,
  verbose = TRUE,
  method = "Nelder-Mead",
  hessian = TRUE,
  autoscale = TRUE,
  maxiter = 5000,
  sum_limit = round(max(Y) * 3)
)

Arguments

• formula: an object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted.
• family: choice of "ewp2" or "ewp3"
• data: a data frame containing the variables in the model.
• verbose: logical, defaults to TRUE; print model fitting progress
• method: string, passed to optim, defaults to 'BFGS'
• hessian: logical, defaults to TRUE; calculate Hessian?
• autoscale: logical, defaults to TRUE; automatically scale model parameters inside the optimisation routine based on initial estimates from a Poisson regression.
• maxiter: numeric, maximum number of iterations for optim
• sum_limit: numeric, defaults to 3*maximum count; upper limit for the sum used for the normalizing factor.

Returns

an ewp model