Nothing
glmmSeq()
and lmmSeq()
glmmRefit()
...
in parallelisation on windows in glmmSeq()
& lmmSeq()
glmmSeq()
to use glmmTMB
package for fitting negative
binomial GLMM (or other GLM family) modelsplab
argument to modelPlots
to customise p-value labelsmeanExp
to results in @stats$res
slotlmmSeq()
using lme4::modular
code. Speed
increase of around 25%.glmmSeq
and lmmSeq
summary
function for glmmSeq and lmmSeq to display results for an
individual gene@stats
slot in output objects to include more information
including DFlmmSeq
using the lmerTest
packagelmmRefit
function to fit an identical (g)lmer model. This can then be
passed to the emmeans
package for visualisation of more complex models.modelPlots
(base graphics) and ggmodelPlots
(ggplot2)modelPlots
to allow for simplest case gene ~ Time + (1 | ID)
lmmSeq()
. Improves speed of calculation of type 2 Wald test.
Overall speed increase of 25-50%.glmmSeq()
id
column name from the RE term in the formula ...
option to fcPlot
which is passed to plotly()
or ggplot()
annotationPosition=FALSE
in fcPlot
so arrows/connectors are not movedreturnList
to return glmmSeq output as list (to make error
catching easier)glmmSeq
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