A function to parameter estimate plots with 95 percent confidence bounds for up to two models we wish to compare.
estimate_plots(model1, model2 = NULL, type = c("glm/lm", "zero-inflated",
"generic"), model1_name = "Model 1", model2_name = "Model 2")A model object returned by a regression estimation routine in R that we wish to plot the parameter estimates of.
A optional second model object returned by a regression estimation routine in R that we wish to plot the parameter estimates of alongside model 1. Defaults to NULL if no comparison model is provided.
The type of model object(s) we are passing to the plotting function. Defaults to "glm/lm", in which case the function expects model output of type "lm" or "glm" to plot. Alternatively, "zero-inflated" may be selected, in which case the function expects model output from the zeroinfl() function available in the pscl package. Finally, a list object may be provided if the user wishes to pass in estimation results that are hand-rolled or do not follow the formatting in one of the above packages. In this case, the list object must contain a $varnames field with variable names as they will displayed in the plots, a $coefficients field with the coefficient values as a numeric vector, and an $se field containing a numeric vector of standard errors for those coefficient values. The function currently does not support comparison between different types of models, but may do so in the future.
The name we wish to give model1 in the legend if plotting two model's parameter estimates together. Defaults to "Model 1".
The name we wish to give model2 in the legend if plotting two model's parameter estimates together. Defaults to "Model 2".