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skewlmm 1.1.0 (2022-09-27)

• rsmsn.clmm was added to simulate data from SMSN-CLMM with censored responses.
• smn.clmm was added to fit linear mixed models with censored responses.
• Generic functions such as print, summary, plot, residuals, fitted, predict, and update work for objects of class SMNclmm.
• mahalDist.SMNclmm computes the squared Mahalanobis distance from a fitted SMN-CLMM.

skewlmm 1.0.0 (2021-09-17)

• The main functions smn.lmm() and smsn.lmm() were changed to pass control options through the lmmControl function.
• The default estimation method was changed to the DAAREM method, to improve the general performance.
• A parallel optimization was added using optimParallel.
• Some options of the diagnostic tools were adjusted.

skewlmm 0.2.3 (2021-02-03)

• A bug in the acfresid() plot was fixed.
• lr.test() now allows testing DEC versus AR1 or CAR1.
• smn.lmm() and smnn.lmm() were adjusted to work when data is a tibble.
• The abbreviation for the conditionally uncorrelated model was changed to “UNC” to match the notation in the theoretical paper, but “CI” is still accepted.

skewlmm 0.2.2 (2020-07-08)

• The package rlist was removed from imports.

skewlmm 0.2.1 (2020-07-06)

• The default initial values were changed.
• Some bugs were fixed (for R version 4.0.1).

skewlmm 0.2.0 (2020-05-15)

• Some functions for model diagnostic were added: acfresid(), mahalDist(), healy.plot().
• The argument showCriterium was added to functions smn.lmm() and smnn.lmm()to allow the criterium to be shown at each iteration.
• The argument calc.bi was removed from functions smn.lmm() and smnn.lmm().

skewlmm 0.1.0 (2020-03-02)

• Initial release.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.