I am rather new to R and am interested in applying a robust regression technique (due to its ability to better handle outliers and influential data points) to a simple dataset to find good linear and exponential trendlines. The R documentation information on some of the applicable functions is rather complex, as were some of the questions/answers out there that I read through concerning these functions, and so I was hoping that someone could explain the high-level differences between the following robust regression functions, including their relative pros and cons:
- lmsreg()
- ltsreg()
- lmrob()
- rlm()