c(person(given = "Zad",
family = "Rafi",
role = c("aut", "cre"),
email = "zad@lesslikely.com",
comment = c(ORCID = "0000-0003-1545-8199")),
person(given = "Andrew D.",
family = "Vigotsky",
role = "aut",
comment = c(ORCID = "0000-0003-3166-0688")))
Allows one to compute compatibility (confidence)
intervals for various statistical tests along with their corresponding
P-values, S-values, and likelihoods. The intervals can be plotted to
create consonance, surprisal, and likelihood functions allowing one to
see what effect sizes are compatible with the test model at various
compatibility levels rather than being limited to one interval estimate
such as 95\%. Functions can also be compared to one another to see how much
they overlap with one another and differ. Results can also be exported for
Word, Powerpoint, and TeX documents. The package currently supports bootstrapping,
linear models, generalized linear models, linear mixed-effects models,
survival analysis, and meta-analysis. These methods are discussed by
Poole C. (1987) <doi:10.2105/AJPH.77.2.195>, Schweder T, Hjort NL. (2002)
<doi:10.1111/1467-9469.00285>, Singh K, Xie M, Strawderman WE. (2007)
<arXiv:0708.0976>, Rothman KJ, Greenland S, Lash TL. (2008,
ISBN:9781451190052), Greenland S. (2019)
<doi:10.1080/00031305.2018.1529625>, Chow ZR, Greenland S. (2019)
<arXiv:1909.08579>, and Greenland S, Chow ZR. (2019)
<arXiv:1909.08583>.
MASS, bcaboot, boot, lme4, dplyr, flextable, ggplot2, knitr,
metafor, officer, parallel, pbmcapply, ProfileLikelihood,
scales, survival, survminer, tibble, tidyr, methods, cowplot,
patchwork
covr, roxygen2, spelling, testthat, rmarkdown, Lock5Data,
carData, bench, brms, rstan, rstanarm, bayesplot, vdiffr

Computes & Plots Compatibility (Confidence), Surprisal, &
Likelihood Distributions
c(person(given = "Zad",
family = "Rafi",
role = c("aut", "cre"),
email = "zad@lesslikely.com",
comment = c(ORCID = "0000-0003-1545-8199")),
person(given = "Andrew D.",
family = "Vigotsky",
role = "aut",
email = "avigotsky@gmail.com",
comment = c(ORCID = "0000-0003-3166-0688")),
person(given = "Aaron",
family = "Caldwell",
role = "ctb",
email = "arcaldwell49@gmail.com",
comment = c(ORCID = "0000-0002-4541-6283")))
Computes compatibility (confidence) distributions along with their corresponding P-values,
S-values, and likelihoods. The intervals can be plotted to form the distributions themselves.
Functions can be compared to one another to see how much they overlap. Results can be
exported to Microsoft Word, Powerpoint, and TeX documents. The package currently supports
resampling methods, computing differences, generalized linear models, mixed-effects models,
survival analysis, and meta-analysis. These methods are discussed
by Schweder T, Hjort NL. (2016, ISBN:9781316445051) and
Rafi Z, Greenland S. (2020) <doi:10.1186/s12874-020-01105-9>.
methods, bcaboot, boot, dplyr, flextable, ggplot2, knitr,
metafor, officer, parallel, pbmcapply, ProfileLikelihood,
scales, colorspace, survival, survminer, tibble, tidyr
MASS, lme4, covr, roxygen2, spelling, testthat, rmarkdown,
Lock5Data, carData, bench, rms, brms, rstan, rstanarm,
bayesplot, vdiffr, ggtext, daewr, svglite, data.table, nlme,
simstudy, patchwork, cowplot, reprex
confidence, compatibility, consonance, curve,
information statistics, surprisals, interval, function,
distribution, fiducial