adding scaffolding code for MCMC prediction
adding class scaffolding for better C++ design
replaced malloc calls with new/delete
basic data loading handled from external file
added frequency-based update code
wrote quick R script to generate range queries
added arbitrary histogram ground truth support
added ignore condition for *.in generated input files
added class for a run of bins to allow for logical code segregation
updated datagen file to deal with new R script
added new run.cpp dependencies and linking
finished intiial ST-Histogram with frequency update and restructuring
wrote additional documentation
added gitignore for generated data files
cleaned code and added data drop to files
added visualization file for histogram and new stats
added ignore for truth files
added range-based query implementation
changed scripts to stash truth values, as well as to proplerly draw overlaying histograms
cleaned up R scripts and got rid of div/0 error