Comments (2)
when using df_1d
, is it also appropriate to report the confidence intervals?
ideas is that we use df_1d
and df_md
for testing, for df_1d
the d.f., estimate and distribution also provided, but lack the CI. it might be helpful to also report the CI
basically maybe we can create a function like this
confint.mmrm_tmb <- function(...) { #for confidence intervals of the coefficients
# call df_1d to obtain the d.f., est, etc and summarize them into a data.frame
}
for differences in marginal means, use
confint(pairs(emmeans(fit)))
from mmrm.
@clarkliming hm good question, let me think about it
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Related Issues (20)
- fix c++ compiler warning
- mmrm does not converge without specifying optimizer nlminb HOT 4
- URGENT! Failed CRAN Checks: 2024-01-21 HOT 1
- mmrm bioconductor dependancy HOT 4
- test for `is_using_clang` needs to be skipped on old R versions
- fitted values in mmrm HOT 8
- URGENT! Failed CRAN Checks: 2024-01-28
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- avoid CRAN warning
- URGENT! Failed CRAN Checks: 2024-03-10 HOT 1
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- Reproducibility issue: There's a discrepancy in coefficient estimates when altering the variable order within the formula. HOT 5
- predict() does not work when variables are transformed within formula HOT 2
- fix note
- Add positive definiteness check of `theta_vcov` to `h_mmrm_tmb_check_conv()`
- Change Daniel's email address
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