NEWS
skewlmm 1.1.2 (2024-12-14)
- miceweight and UTI datasets were added
- Functions were edited to allow for partial matching of arguments
- General function
confint to extract confidence interval of fitted objects was added
weight_plot function was added- Logo was added
- Method
coef was added
skewlmm 1.1.1
- ranef, nobs, fixef, logLik, formula, sigma methods for SMN and SMSN classes were added.
skewlmm 1.1.0 (2023-06-30)
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 (2021-09-18)
- 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)