lotri 0.4.0

Can convert lotri objects to data-frames similar to the internal data frame used in nlmixr(); These can then be converted back with as.lotri()
Added the ability to add estimates to a lotri object. These estimates are an attached data.frame to the original lotri matrix. You can extract them or drop them with the function lotriEst()
Allow specifying fixed components in lotri() matrices.
Add cov, cor, sd, var, and chol options for matrix specification. The final matrix will always be the covariance matrix
Add function lotriMatInv() which takes a symmetric block matrix and converts it into a list of matrices. An sort of inverse operation of lotriMat()
Add error for lotri(~c(40))
Added ability to flag fixed and unfixed components in a matrix. Currently lotri only supports one type.
For the lotriFix objects, ie those created with population types of estimates and covariance estimates, allow them to be converted to an equivalent expression with as.expression() for the lotri object and lotriDataFrameToLotriExpression() for the data.frame

lotri 0.3.1

Change errors/warnings to use call.=FALSE or equivalent.
Refactor C code to reduce complexity
Change C code to play nicely with rchk
Allow lotriMat to mix named and unnamed matrices; When mixed, an unnamed matrix will be returned.

Bug fix for conditional matrices
Now accessing $lower and $upper gives default values even if it wasn’t specified.
Can change the default conditional matrix to some other value like “id”
Can add properties to matrx->lotri by as.lotri(matrix, lower=3, default=“id”)
Dropped Matrix import and added lotriMat to create banded matrices (faster than Matrix for now included repeated matrices with list(matrix, rep)).
Bug fix for default properties when both upper and lower bounds are specified

Added conditional matrix specification |; Returns a list of matrices where each condition is the name of the matrix returned.
The conditional matrix can also include properties ie | id(lower=c(eta1=3))
Added a NEWS.md file to track changes to the package.