skewlmm 1.1.2
(2024-01-20)
- 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
(2023-01-20)
- ranef, nobs, fixef, logLik, formula, sigma methods for SMN and SMSN
classes were added.
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)