vis_cont_fit: Visualize a continuous fit
In MichaelHoltonPrice/yada: Yet Another Demographic Analysis package

Visualize a continuous fit by plotting the observed points (x,w) and the fit.

1	vis_cont_fit(x, w, th_w, mod_spec, xplot = c(), th_w0 = c(), show_unc = F, ...)

`x`	The vector of x values for the variable
`w`	The vector of response values for the variable
`th_w`	The fit parameter vector
`mod_spec`	The model specification
`xplot`	(optional) A vector at which to calculate the fit for the plot. If not provided, a sequence of equally spaced values of length hundred from min(x) to max(x) is used.
`th_w0`	(optional) A baseline fit to add to the plot (likely the known value of the parameter vector from a simulation)
`show_unc`	(default: FALSE) Whether to plot the uncertainty for the fit
`...`	Additional arguments to pass to the plot call for the x-w scatter plot (e.g., to set the x- and y-labels).