glmmSeq v0.5.4
25/09/2022
- Add option for likelihood ratio test (LRT) in
glmmSeq()andlmmSeq() - Enable changing of model formula, family and control parameters when refitting model for a single gene in
glmmRefit()
glmmSeq v0.5.1
CRAN release: 2022-09-12
02/09/2022
- Add option to
glmmSeq()to useglmmTMBpackage for fitting negative binomial GLMM (or other GLM family) models - Add
plabargument tomodelPlotsto customise p-value labels - Add mean expression column
meanExpto results in@stats$resslot
glmmSeq v0.4.0
CRAN release: 2022-08-12
10/08/2022
- Further speed enhancements to
lmmSeq()usinglme4::modularcode. Speed increase of around 25%.
glmmSeq v0.3.0
05/08/2022
- Significant update including output of standard error on fitted coefficients for both
glmmSeqandlmmSeq - Add
summaryfunction for glmmSeq and lmmSeq to display results for an individual gene - Reorganised
@statsslot 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
lmmSequsing thelmerTestpackage - Added
lmmRefitfunction to fit an identical (g)lmer model. This can then be passed to theemmeanspackage for visualisation of more complex models. - Separated
modelPlots(base graphics) andggmodelPlots(ggplot2) - Streamlined
modelPlotsto allow for simplest casegene ~ Time + (1 | ID)
glmmSeq v0.2.1
11/07/2022
- Add
...option tofcPlotwhich is passed toplotly()orggplot() - set
annotationPosition=FALSEinfcPlotso arrows/connectors are not moved
