LMMsolver 1.0.3

• Improved computation time and memory allocation, especially important for big data with many observations (the number of rows in the data frame).
• Replaced the default model.matrix function by Matrix::sparse.model.matrix to generate sparse design matrices.
• In function obtainSmoothTrend the standard errors are only calculated if includeIntercept=TRUE.
• Several small bugs fixed.

LMMsolver 1.0.2

• First and second order derivatives are now calculated correctly.
• Several small bugs fixed.
• Updated tests to pass checks on macM1.

LMMsolver 1.0.1

• weights argument in LMMsolve function added
• Function obtainSmoothTrend returns in addition to the predictions the standard errors.
• Generalized Additive Model (GAM) added for one-dimensional splines, i.e. more spl1D() components can be added to the spline argument of LMMsolve function
• Improved efficiency of calculating the sparse inverse using super-nodes.
• Replaced the original P-splines penalty D'D with a scaled version which is far more stable if there are many knots.
  
• Several bugs fixed.

LMMsolver 1.0.0

• Initial CRAN version