Comparison of HyperNiche and R
To our knowledge there is no public fully nonparametric NPMR in R, while
HyperNiche offers this, smoothly integrated with overfitting controls, randomization
tests, bootstrapping, and GIS support. Nor are we aware of any nonparametric
regression in R that automatically builds leave-one-out crossvalidation into the model
The user experience in HyperNiche differs radically R. To build
appropriate species distribution or habitat models in R, you must learn the R programming
language, manually identify, hunt down, and download the necessary 'packages', and modify
the code as necessary to achieve your analysis objectives and obtain suitable graphics.
HyperNiche offers ease of use, the convenience of a point-and-click graphical user
interface, the power and flexibility of interactive graphics, a built-in context-sensitive
help system, and free dedicated technical support; none of which is available in R.
HyperNiche thus enables you to quickly and confidently select, run, and interpret
appropriate analyses and produce tailored, publication quality graphics.
HyperNiche Features not Found in R
||Fast and easy Windows menu-driven analysis and graphing integrated into a single
||Free one-day email technical feedback for both software and analysis questions
||Menu-driven parameter setup options allowing appropriately tailored analyses
||Includes major analysis tools plus unique tools for community analyses
|* Help System
||Extensive context-sensitive help system