probsens.mbias.ggdag (and dagitty).probsens.conf.selection which was returning a constant value.bias_parms in selection to use a single selection-bias factor (was skipping it and returning NAs).parms in confounders, confounders.emm, and confounders.polyconfounders.array, sensitivity analysis for unmeasured confounders based on confounding imbalance among exposed and unexposed (Schneeweiss, 2006)bias parameters removed from function multidimBias. Please use bias_parms instead.confounders.evalue, computing E-value to assess bias due to unmeasured confounder (VanderWeele and Ding, 2017)multiple.bias allowing to extract 2-by-2 table from an episensr object to feed another function (multiple bias analysis)probsens.confprobsens.irr.confprobsens.conf in vignetteprobsens.conf function for prevalence of exposure among the non-exposed (as producing NaNs) (#1).misclassification_cov for a misclassified covariate (confounder or effect modifier).misclassification in the previous version is now removed.bias_parms instead of bias in misclassification function.Fix bug when building 2-by-2 table.
Various formatting improvements in output of confounders, confounders.emm, misclassification and selection functions.
Standardize use of bias_parms.
Add vignette.
Selection bias factor now available in output of selection function.
Add bootstrap option
Harmonization of arguments across functions.
New distributions added to probsens series of functions: constant, logit-logistic, logit-normal, log-logistic, and log-normal.
Probabilistic analysis of person-time data added with probsens.irr for exposure misclassification, and probsens.irr.conf for unmeasured confounder.
Sensitivity analysis to correct for selection bias caused by M bias with mbias function, including DAG plot and print function.
Fix CI formatting.
NAMESPACE: add imports to stats functions to avoid new R CMD CHECK warnings