OxWearables/epicoda
Supports epidemiological analyses using compositional exposure variables
RNOASSERTION
Issues
- 0
Clarify the CIs vignette
#88 opened by R-Walmsley - 0
- 1
Weird characteristics of forest_plot_comp
#83 opened by R-Walmsley - 1
- 0
- 1
- 0
add more plotting tests
#85 opened by R-Walmsley - 2
Functions failing on tibbles
#82 opened by R-Walmsley - 1
tidy plot_transfers to avoid duplicating code between log and non log scale versions
#80 opened by R-Walmsley - 0
return meaningful error if fixed_values specified but do not cover all required variables
#79 opened by R-Walmsley - 0
predict_fit_and_ci is unnecessarily verbose
#76 opened by R-Walmsley - 0
- 0
Streamline package?
#69 opened by R-Walmsley - 1
improve documentation for output scales for predict_fit_and_ci for logistic and Cox regression
#47 opened by R-Walmsley - 0
Logistic regression CIs
#61 opened by R-Walmsley - 0
Consider changing zero imputation
#58 opened by R-Walmsley - 0
make zero_range stricter
#57 opened by R-Walmsley - 0
plot_transfers make_new_data call
#56 opened by R-Walmsley - 0
- 0
add notes on terms = FALSE
#54 opened by R-Walmsley - 0
- 0
- 0
force model = TRUE for `lm` and `glm`
#44 opened by R-Walmsley - 0
Add tests on both ternary plotting functions
#39 opened by R-Walmsley - 0
Speed up Windows CMD Check run
#36 opened by R-Walmsley - 0
change .Rproj file to best practice
#30 opened by R-Walmsley - 0
- 0
- 0
add tests
#8 opened by R-Walmsley - 0
add robust regression
#5 opened by R-Walmsley - 0
- 1
- 0
add plot matrices as in e.g. Powell et al
#4 opened by R-Walmsley - 1
- 1