2016-10-16      Greg Vaughan <gregory.vaughan@uconn.edu>
	* Updated various functions
	1) added subset and contrasts functionality
	2) added a print function for sgee objects
	3) other minor changes/ polishes

2016-09-15	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Began preparing package for CRAN submission
	1) Re-did comments the were previously done manually using roxygen2
	2) Removed older functiosn that were not intended for distirbution
	3) Renamed packaged to sgee


2016-07-26	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Added Poisson data generation
	1) simpleDataGeneration function can now generate correlated
	poisson data



2016-02-20	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Added AUCCalculator function
	1) calculates AUC for a set of logisitc regression fittings
	vs. true values
	* Cleaned SEE, GSEE, and examples in manual files
	* Removed Dependancy on threeboost and MAtrix


2016-02-19	Greg Vaughan <gregory.vaughan@uonn.edu>
	* Added analyzeCoefficientPath function
	1) takes in a coefficient path, and a predictive dataset
		and analyzes it.
	2) if given the true coefficent values, yields additional measures
	* Added coefTraceplot function
	1) plots the coefficient traceplot
	2) provides options for yielding color or black and white plots
	3) allows for covariate grouping identification


2016-02-17	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Added simpleDataGeneration, a function to generate gaussian
	Data to test stagewise techniques
	1) generates gaussian Data that is correlated
	2) generates covariates that are also correlated
	* Removed older implemnetations of SEE, BiSEE, and GSEE


2016-01-13	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Added GSEE, a simpler implementation of gBoost
	1) Execute the forward stagewise procedure
	2) uses L2 norm (the group lasso) as penalty
	3)generates path as in the other functions

2015-12-29	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Added SEE, a simple implementation of EEBoost using
	1) Execute the forward stagewise procedure
	2) uses absolute value function (the lasso) as penalty
	3)generates path as in the other functions

2015-12-05 	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Modified How hBoost and sgBoost are executed
	1) evaluateGEE.R was changed so that the intercept was updated
	2) then phi and alpha are updated,
	3) then the working correlation matrix is updated using updated alpha
	4) then the mean parameters estimating equations are calculated
	* Cleaned some of the manual files

2015-09-20	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Modified Package structure
	1) primary functions are called "hBoost" and
	"sgBoost", for the hBoost and sgboost techniques.
	2) other functions still present for simulation
	purposes, but most will eventually be removed
	* Added Examples for hBoost and sgBoost

2015-08-17	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Added gBoost, sgBoost, and hBoost
	1) gBoost is threeBoostGroup but estimates
	nuisance parameters as per liang and Zeger
	(and under the assumption of one of each)
	2) sgBoost is threeBoostGroupBiLevel2, but
	again estimating nuisance parameters as suggested
	in Liand and Zeger (also under the assumption of
	only one of each)
	3) hBoost is threeBoostGroupBiLevel, but
	again estimating nuisance parameters as suggested
	in Liand and Zeger (also under the assumption of
	only one of each)

2015-07-14	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Added implementation of third Bi-level appraoch
	1) new approach selects group based on largest gamma value,
	rather than largest L-2 Norm
	2) implemented in threeBoostGroupBievel2.R
	3) It is intended to combine all of the approach in a later update

2015-06-11	Greg Vaughan <gregory.vaughan@uconn.edu>
	* Fixed implementaion of Weights
	1) originally, the weights were inverted before transforming the path back, but this effectively multiplies the path of estimates by the inverse TWICE
	2) i.e. we want W^(-1) %*% Beta, but what was being done was W^(-2) %*% Beta
