https://link.springer.com/book/10.1007/978-3-319-19425-7
- notes!
GLMM examples/lab check LMM lab
- datavis: - glyc plot 1 -> ggplot? - second glyc plot? - inference etc.: modify. - add singing mouse data? - arabidopsis plot as ggplot?
- glmm 1 or 2: - "dimensions of data size" - REML
tidyverse???
incorporate stuff from uqam/mixed2.Rnw
- contrasts
- Wald vs LRT
- Z vs t
- parametric bootstrap
- importance sample?
- overview: modify from gtar
- mixedlab: add GLMM example (ecochap?)
Difference between
- Bayes: from QMEE? emdbook?
- probability basics
- prior defs and issues
- sampling: Metropolis-Hastings
- sampling: diagnostics
- extended mixed lab example
echo "abc geom_boxplot def" | sed -e 's/^.(geom_[a-z]+).$/\1/g' find . -follow -name "*.[Rr]" -exec grep geom_ {} ; |
echo "abc geom_boxplot geom_qq def" | grep -o 'geom_[a-z]+'
find . -follow -name ".[Rr]" -o -name ".[Rr]md" -exec grep -o 'geom_[a-z]+' {} ; | sort | uniq > all_geoms.txt