Changes: version 1.1-4  (2024-04-26)

1.) Removed three deprecated functions
	- Previously functions 'tune.cpfa', 'predict.cpfa', and 'print.cpfa' remained   
	- Now all three functions have been removed

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Changes: version 1.1-3  (2024-04-07)

1.) Modified names of three functions (old functions remain available until next update)
        - Previously main functions were 'tune.cpfa', 'predict.cpfa', and 'print.cpfa'
        - Now these functions are 'tunecpfa', 'predict.tunecpfa', and 'print.tunecpfa'

2.) Added gradient boosting machine (GBM) as a classifier
	- Previously used five classification methods
	- Now adds GBM as a new classification method

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Changes:  version 1.1-2  (2024-02-15)

1.) Bug fix in main package function tune.cpfa for argument 'nfac'
	- Previously bug prevented argument 'nfac' from containing multiple values
	- Now argument 'nfac' can contain multiple values  

2.) Added a Parafac2 example to help files
	- Previously help files did not include a Parafac2 example
	- Now help files include a Parafac2 example

3.) Bug fix in main package function tune.cpfa for argument 'cmode'
	- Previously could not match 'y' length with classification mode's number of levels
	- Now can match them together correctly

4.) Bug fix in main package function predict.cpfa for argument 'newdata'
	- Previously did not specify array dimensions correctly for four-way arrays
	- Now specifies array dimensions correctly for four-way arrays

5.) Bug fix in main package function predict.cpfa for method 'SVM' for multiclass response
	- Previously columns of SVM predicted probabilities matrix were ordered incorrectly
	- Now columns are ordered correctly, calculating correct performance measures

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Changes:  version 1.1-1  (2024-02-03)

1.) Added help file examples where tensor and response are related
	- Previously examples did not use tensors that were related to responses 
	- Now help file examples use tensors related to responses 

2.) Improved readability of function files
	- Previously code did not contain spaces for clear reading
	- Now adds spaces in function files to improve code readability

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Changes:  version 1.1-0  (2023-12-02)

1.) Bug fix in main package function tune.cpfa
	- Previously a bug prevented Parafac2 models from being fit
	- Now Parafac2 models can be fit correctly

2.) Bug fix in internal package function kcv.plr
	- Previously a bug prevented 'threshold' from working with 'nfolds = 2'
	- Now argument 'threshold' works correctly with 'nfolds = 2'

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Changes:  version 1.0-9  (2023-11-19)

1.) Placed tuning arguments into a list for functions tune.cpfa and cpfa
	- Previously classifier tuning arguments were separate inputs
	- Now combines tuning arguments in a list to improve readability

2.) Added new output to function cpfa
	- Previously optimal tuning parameters were not provided by cpfa
	- Now provides optimal tuning parameters for each replication

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Changes:  version 1.0-8  (2023-10-15)

1.) Bug fix in internal function “kcv.rda” for KCV error calculation
	- Previously provided accuracy as classification error output
	- Now correctly uses classification error instead of accuracy

2.) Improvements to help files for most package functions
	- Previously help files contained language noting four methods
	- Now help files correctly reference five methods, including RDA

3.) Added plotting to main package function cpfa
	- Previously function cpfa contained no plotting capabilities
	- Now box plots of performance measures can be produced as output

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Changes:  version 1.0-7  (2023-10-07)

1.) Added regularized discriminant analysis (RDA) as a classifier
	- Previously used four classification methods
	- Now adds RDA as a new classification method

2.) Added new references to help files for RDA

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Changes:  version 1.0-6  (2023-09-07)

1.) Added Parallel Factor Analysis-2 (Parafac2) as a component model
	- Previously used only Parallel Factor Analysis-1 (Parafac)
	- Now includes functionality for Parafac2 and for irregular tensors

2.) Added new references for Parafac2 (e.g., Harshman, 1972)

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Changes:  version 1.0-5  (2023-08-07)

1.) Added new function ‘cpfa’ as a wrapper function to implement method
	- Previously package functions were not united 
	- Now new wrapper function unites package functions

2.) Improvements to help files
	- Previously help files contained language errors and typos
	- Now help files correctly use proper language

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Changes:  version 1.0-4  (2022-06-20)

1.) Removed package vignette due to vignette still containing key errors
	- Previously provided a vignette describing package use
	- Now removes vignette due to major errors; will add at later date

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Changes:  version 1.0-3  (2022-06-16)

1.) Added an updated package vignette 
	- Previously vignette contained errors in describing method
	- Now fixes errors and improves presentation in vignette

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Changes:  version 1.0-2  (2022-05-16)

1.) Added a package vignette describing method implemented in package 
	- Previously contained no vignette or description of method
	- Now adds vignette describing package capabilities

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Changes:  version 1.0-1  (2022-04-09)

1.) Added feed-forward neural network (NN) as a classifier
	- Previously used three classification methods
	- Now adds NN as a fourth classification method

2.) Added new references to help files for NN

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Changes:  version 1.0-0  (2022-03-09)

1.) Submitted to CRAN a new package called ‘cpfa’