Skip to contents

Changelog

Source: NEWS.md

episensr 1.3.0

CRAN release: 2023-08-30

  • Adding bias-adjusting for exposure misclassification using predictive values.
  • Adding start-up message.

episensr 1.2.0

CRAN release: 2023-05-16

  • Fix CI for OR in plot.booted (@codiewood, #2)
  • Replaced dot-dot notation by after_stat(density) in plot.probsens and plot.booted
  • misclassification_cov replaced by misclassification.cov
  • Standard output for confounders.ext, confounders.limit, and confounders.array
  • Suggest tidyr instead of tidyverse

episensr 1.1.0

CRAN release: 2021-08-20

  • Fix confidence interval values in plotting output of probsens.
  • Fix bug that created integer overflow in rare cases when 2-by-2 table cells were very large.
  • Update documentation.

episensr 1.0.0

CRAN release: 2021-02-23

  • Provide default values for variables in mbias.
  • Update M-bias plot by using ggdag (and dagitty).
  • Add beta distribution to probabilistic bias analyses.
  • Plotting functions for probabilistic bias analyses.
  • Review criteria to remove negative cell counts in probabilistic bias analyses.
  • Add citation and DOI.

episensr 0.9.6

CRAN release: 2020-03-06

  • Fix formulas in probsens.conf.

episensr 0.9.5

CRAN release: 2020-02-03

  • Fix selection-bias factor in selection which was returning a constant value.

episensr 0.9.4

CRAN release: 2019-09-02

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

episensr 0.9.3

CRAN release: 2018-12-03

  • 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)

episensr 0.9.2

CRAN release: 2017-11-13

  • 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

episensr 0.9.1

CRAN release: 2017-09-12

  • Fix bug when using triangular distribution in probsens.conf function for prevalence of exposure among the non-exposed (as producing NaNs) (#1).

episensr 0.9.0

CRAN release: 2017-08-16

  • 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.

episensr 0.8.0

CRAN release: 2017-01-04

  • 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

episensr 0.7.2

CRAN release: 2016-02-03

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

episensr 0.7.1

CRAN release: 2015-10-05

  • Fix R version dependency (R >= 3.2.0)

episensr 0.7.0

CRAN release: 2015-10-01

  • 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