- Fix
`bias_parms`

in`selection`

to use a single selection-bias factor (was skipping it and returning NAs).

- Update description of
`parms`

in`confounders`

,`confounders.emm`

, and`confounders.poly`

- New function
`confounders.array`

, sensitivity analysis for unmeasured confounders based on confounding imbalance among exposed and unexposed (Schneeweiss, 2006) - Deprecated
`bias`

parameters removed from function`multidimBias`

. Please use`bias_parms`

instead. - New function
`confounders.evalue`

, computing E-value to assess bias due to unmeasured confounder (VanderWeele and Ding, 2017) - New function
`multiple.bias`

allowing to extract 2-by-2 table from an`episensr`

object to feed another function (multiple bias analysis)

- Fix bug for distributions and computations of OR/RR in
`probsens.conf`

- Update distributions in
`probsens.irr.conf`

- Add example using
`probsens.conf`

in vignette

- Fix bug when using triangular distribution in
`probsens.conf`

function for prevalence of exposure among the non-exposed (as producing NaNs) (#1).

- Add
`misclassification_cov`

for a misclassified covariate (confounder or effect modifier). - As such, this (wrongly) added option into
`misclassification`

in the previous version is now removed. - Add computation of confidence interval for odds ratio as per Chu et al. for exposure misclassification.
- Use
`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

- Fix 2-by-2 tables when variables are provided instead of a matrix.

- Fix R version dependency (R >= 3.2.0)

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