Changelog
Source:NEWS.md
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 useglmmTMB
package for fitting negative binomial GLMM (or other GLM family) models - Add
plab
argument tomodelPlots
to customise p-value labels - Add mean expression column
meanExp
to results in@stats$res
slot
glmmSeq v0.4.0
CRAN release: 2022-08-12
10/08/2022
- Further speed enhancements to
lmmSeq()
usinglme4::modular
code. Speed increase of around 25%.
glmmSeq v0.3.0
05/08/2022
- Significant update including output of standard error on fitted coefficients for both
glmmSeq
andlmmSeq
- 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 thelmerTest
package - Added
lmmRefit
function to fit an identical (g)lmer model. This can then be passed to theemmeans
package for visualisation of more complex models. - Separated
modelPlots
(base graphics) andggmodelPlots
(ggplot2) - Streamlined
modelPlots
to allow for simplest casegene ~ Time + (1 | ID)
glmmSeq v0.2.1
11/07/2022
- Add
...
option tofcPlot
which is passed toplotly()
orggplot()
- set
annotationPosition=FALSE
infcPlot
so arrows/connectors are not moved