# Version 1.0.0 (Sep-30-2021)

## New features

- Function ‘solveEN’ allows early stop when a user-provided number of non-zero predictors (at a given value of lambda) is reached (argument ‘maxDF’)
- Functions ‘solveEN’ and ‘lars2’ return object ‘beta’ as matrix with predictors in rows (rather than in columns)
- Function ‘cov2cor2’ allows multiply the resulting correlation matrix times a constant ‘a’ (default is ‘a=1’)
- Provided ‘wheatHTP’ dataset includes now an array of 4-folds partitions (‘CV’ column in object ‘Y’) and calculations of genetic and residual covariances between YLD and each of the wavelengths (‘genCOV_xy’ and ‘resCOV_xy’ objects), and among YLD from each environment (‘genCOV_yy’ object). Residuals covariances among YLD from each environment (‘resCOV_yy’ object) is also included

## Bug fixes

- Function ‘fitBLUP’ performs the new checking varU <= 2*var(y) to declare a possible error if FALSE
- Function reshape2::melt is used instead of reshape::melt

# Version 0.4.0 (May-12-2021)

## New features

- More detailed functions’ documentation
- Function ‘fitBLUP’ performs a quality control for very small or negatives eigenvalues
- Function ‘saveBinary’ does not save columns’ nor rows’ names anymore
- Function ‘SSI’ uses now a C-based routine called ‘add2diag’ created to add a numeric value to the diagonal of a symmetric matrix (single or double precision). This routine is not at the user level
- Function ‘getGenCov’ has the argument ‘warn’ to whether show warnings from ‘BLUP’ analyses

## Bug fixes

- All C-based routines: a ‘long long’ variable type, instead of an ‘int’ type, was used for indexing arrays (matrices). This change allows dealing with matrices whose length (number of rows x number of columns) exceed 2^31-1 = 2147483647 (e.g., a matrix of 46341 x 46341)

# Version 0.3.0 (April-29-2021)

## Features

- First released version
- Function ‘solveMixed’ (from GitHub version) was renamed to ‘fitBLUP’