confounding() function (@AkiShiroshita, #4).probsens(), confounders_limit(), probsens_limit(), probsens_irr_conf(), and probsens_sel(), with warnings.boot.bias() -> boot_bias()confounders.array() -> confounders_array()confounders.emm() -> confounders_emm()confounders.ext() -> confounders_ext()confounders.limit() -> confounders_limit()confounders.poly() -> confounders_poly()misclassification() -> misclass()misclassification.cov() -> misclass_cov()probsens.conf() -> probsens_conf()probsens.irr() -> probsens_irr()probsens.irr.conf() -> probsens_irr_conf()probsens.sel() -> probsens_sel()truncnorm).Or.sel from multidimBias.plot.booted (@codiewood, #2)plot.probsens and plot.bootedmisclassification_cov replaced by misclassification.covconfounders.ext, confounders.limit, and confounders.arraytidyr instead of tidyverseprobsens.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