News
glmmSeq v0.4.0
10/8/2022
- Further speed enhancements to
lmmSeq() using
lme4::modular code. Speed increase of around 25%.
glmmSeq v0.3.0
5/8/2022
- Significant update including output of standard error on fitted
coefficients for both
glmmSeq and lmmSeq
- Add
summary function for glmmSeq and lmmSeq to display
results for an individual gene
- Reorganised
@stats slot in output objects to include
more information including DF
- Added option of using Saiterthwaite’s DF method with ANOVA type III
tables as option for
lmmSeq using the lmerTest
package
- Added
lmmRefit function to fit an identical (g)lmer
model. This can then be passed to the emmeans package for
visualisation of more complex models.
- Separated
modelPlots (base graphics) and
ggmodelPlots (ggplot2)
- Streamlined
modelPlots to allow for simplest case
gene ~ Time + (1 | ID)
glmmSeq v0.2.2
16/7/2022
- Fast version of
lmmSeq(). Improves speed of calculation
of type 2 Wald test. Overall speed increase of 25-50%.
- Faster version of
glmmSeq()
- Automatically detects
id column name from the RE term
in the formula
glmmSeq v0.2.1
11/7/2022
- Add
... option to fcPlot which is passed to
plotly() or ggplot()
- set
annotationPosition=FALSE in `fcPlot so
arrows/connectors are not moved
glmmSeq v0.2.0
09/7/2022
- Add lmmSeq function for gaussian linear mixed models
glmmSeq v0.1.2
08/07/2022
glmmSeq v0.1.1
18/04/2021
Bug Fixes
- Fix colours in pairedPlots and modelPlots
glmmSeq v0.1.0
16/03/2021
Features
- Add progress bars to glmmSeq functions
- Add option
returnList to return glmmSeq output as list
(to make error catching easier)
Bug Fixes
- Fix missing plots in vignette
glmmSeq v0.0.1
05/03/2021
- This is the initial build of
glmmSeq