Package: skewlmm 1.1.5

skewlmm: Scale Mixture of Skew-Normal Linear Mixed Models

It fits scale mixture of skew-normal linear mixed models using either an expectation–maximization (EM) type algorithm or its accelerated version (Damped Anderson Acceleration with Epsilon Monotonicity, DAAREM), including some possibilities for modeling the within-subject dependence <doi:10.18637/jss.v115.i07>.

Authors:Fernanda L. Schumacher [aut, cre], Larissa A. Matos [aut], Victor H. Lachos [aut], Katherine A. L. Valeriano [aut], Nicholas Henderson [ctb], Ravi Varadhan [ctb]

skewlmm_1.1.5.tar.gz
skewlmm_1.1.5.zip(r-4.7-any)skewlmm_1.1.5.zip(r-4.6-any)skewlmm_1.1.5.zip(r-4.5-any)
skewlmm_1.1.5.tgz(r-4.6-any)skewlmm_1.1.5.tgz(r-4.5-any)
skewlmm_1.1.5.tar.gz(r-4.7-any)skewlmm_1.1.5.tar.gz(r-4.6-any)
skewlmm_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
skewlmm/json (API)

# Install 'skewlmm' in R:
install.packages('skewlmm', repos = c('https://fernandalschumacher.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fernandalschumacher/skewlmm/issues

Datasets:
  • miceweight - Data set for clinical trial measuring mice weight
  • UTIdata - Data set for Unstructured Treatment Interruption Study

On CRAN:

Conda:

4.23 score 7 stars 16 scripts 349 downloads 18 exports 54 dependencies

Last updated from:e88c678479. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK227
source / vignettesOK185
linux-releaseOK169
macos-releaseOK159
macos-oldrelOK184
windows-develOK199
windows-releaseOK162
windows-oldrelOK162
wasm-releaseOK129

Exports:acfresidboot_ciboot_parcriteriaerrorVarfixefformulahealy.plotlmmControllr.testmahalDistnobsranefrsmsn.lmmsigmasmn.lmmsmsn.lmmweight_plot

Dependencies:bitbit64clicliprcodetoolscpp11crayondigestdplyrfarverforcatsfurrrfuturegenericsggplot2ggrepelglobalsgluegtablehavenhmsisobandlabelinglatticelifecyclelistenvmagrittrmatrixcalcmomentsmvtnormnlmenumDerivoptimParallelparallellypillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerRcppreadrrlangS7scalestibbletidyselecttzdbutf8vctrsviridisLitevroomwithr

Readme and manuals

Help Manual

Help pageTopics
Autocorrelation function for smn.lmm or smsn.lmm residualsacfresid
Extract confidence intervals from 'lmmBoot' objectboot_ci
Parametric bootstrap for SMSN/SMN objectsboot_par
Extract coefficients from smsn.lmm and smn.lmm objectscoef coef.SMN coef.SMSN
Computes confidence intervals from smn.lmm and smsn.lmm fitted modelsconfint confint.SMN confint.SMSN
Extracts criteria for model comparison of SMSN/SMN objectscriteria
Error scale matrix associated with 'times'errorVar
Extract smn.lmm fitted valuesfitted.SMN
Extract smsn.lmm fitted valuesfitted.SMSN
Extract estimated fixed effects from smsn.lmm and smn.lmm objectsfixef fixef.SMN fixef.SMSN
Formula from an smn.lmm and smsn.lmm modelsformula formula.SMN formula.SMSN
Healy-type plot from a smn.lmm or smsn.lmm objecthealy.plot
Control options for 'smsn.lmm()' and 'smn.lmm()'lmmControl
Log-likelihood of an smn.lmm and smsn.lmm modelslogLik.SMN logLik.SMSN
Likelihood-ratio test for SMSN/SMN objectslr.test
Mahalanobis distance from a smn.lmm or smsn.lmm objectmahalDist
Data set for clinical trial measuring mice weightmiceweight
Extract the number of observations from smn.lmm and smsn.lmm fitted modelsnobs nobs.SMN nobs.SMSN
Plot a smn.lmm or smsn.lmm objectplot.SMN plot.SMSN
Plot ACF for smn.lmm or smsn.lmm residualsplot.acfresid
Plot Mahalanobis distance for a fitted smn.lmm or smsn.lmmplot.mahalDist
Prediction of future observations from an smn.lmm objectpredict.SMN
Prediction of future observations from an smsn.lmm objectpredict.SMSN
Print a smn.lmm objectprint.SMN
Print a smsn.lmm objectprint.SMSN
Extract random effects from smsn.lmm and smn.lmm objectsranef ranef.SMN ranef.SMSN
Extract model residuals from smn.lmm and smsn.lmm objectsresiduals.SMN residuals.SMSN
Generate data from SMSN-LMMrsmsn.lmm
Residual standard deviation from smn.lmm and smsn.lmm objectssigma sigma.SMN sigma.SMSN
ML estimation of scale mixture of normal linear mixed modelssmn.lmm
ML estimation of scale mixture of skew-normal linear mixed modelssmsn.lmm
Summary of a smn.lmm objectsummary.SMN
Summary of a smsn.lmm objectsummary.SMSN
Update for SMSN/SMN objectsupdate.SMN update.SMSN
Data set for Unstructured Treatment Interruption StudyUTIdata
Weight plot for smn.lmm or smsn.lmm objectweight_plot