Reference

All functions
dent_likelihood()	Dents the likelihood surface
dent_propose()	Propose new values This proposes new values using a normal distribution centered on the original parameter values, with desired standard deviation. If any proposed values are outside the bounds, it will propose again.
dent_walk()	Sample points from along a ridge
plot(<dentist>)	Plot the dented samples This will show the univariate plots of the parameter values versus the likelihood as well as bivariate plots of pairs of parameters to look for ridges.
print(<dentist>)	Print dentist print summary of output from dent_walk
quiet_fn()	Quiet internal functions
sphere_propose()	Propose new values based on points near bounds This proposes new values based on wiggling a little bit away from the values near the bounds of the good region
summary(<dentist>)	Summarize dentist Display summary of output from dent_walk