person("Maya B.", "Mathur", email = "mmathur@stanford.edu", role = c("cre", "aut")),
person("Louisa H.", "Smith", role = "aut"),
person("Tyler J.", "VanderWeele", role = "aut"))
Imports: stats, graphics, ggplot2 (>= 2.2.1), metafor, msm, devtools,

Title: Sensitivity Analyses for Unmeasured Confounding and Other Biases
in Observational Studies and Meta-Analyses
Description: Conducts sensitivity analyses for unmeasured confounding,selection bias, and measurement error (individually or in combination) in individual studies. Also conducts sensitivity analyses for unmeasured confounding in meta-analyses.
Imports: stats, graphics, ggplot2 (>= 2.2.1), metafor, methods, boot,

Description: Conducts sensitivity analyses for unmeasured confounding, selection bias, and measurement error (individually or in combination; VanderWeele & Ding (2017) <doi:10.7326/M16-2607>; Smith & VanderWeele (2019) <doi:10.1097/EDE.0000000000001032>; VanderWeele & Li (2019) <doi:10.1093/aje/kwz133>; Smith & VanderWeele (2021) <arXiv:2005.02908>). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) <doi:10.1080/01621459.2018.1529598>; Mathur & VanderWeele (2020b) <doi:10.1097/EDE.0000000000001180>) and for additive measures of effect modification (Mathur et al., under review).

Imports: stats, graphics, ggplot2 (>= 2.2.1), metafor, metadat,

Title: Goodness-of-fit tests for the Exponential and two-parameter
Description: This package contains a large number of the goodness-of-fit tests for the Exponential and Weibull distributions classified into families: the tests based on the empirical distribution function, the tests based on the probability plot, the tests based on the normalized spacings, the tests based on the Laplace transform and the likelihood based tests ...
Imports: Rcpp (>= 0.10.3), maxLik, miscTools

Description: This package contains a large number of the goodness-of-fit tests for the Exponential and Weibull distributions classified into families: the tests based on the empirical distribution function, the tests based on the probability plot, the tests based on the normalized spacings, the tests based on the Laplace transform and the likelihood based tests.