Package: ui 1.0.1

ui: Uncertainty Intervals and Sensitivity Analysis for Missing Data

Implements functions to derive uncertainty intervals for (i) regression (linear and probit) parameters under missing not at random (non-ignorable missingness) as introduced in Genbäck, M., Stanghellini, E., and de Luna, X. (2015) <doi:10.1007/s00362-014-0610-x> and Genbäck, M., Ng, N., Stanghellini, E., and de Luna, X. (2018) <doi:10.1007/s10433-017-0448-x>. Also includes methods for doubly robust and outcome regression estimators of average causal effects under unobserved confounding as in Genbäck, M. and de Luna, X. (2018) <doi:10.1111/biom.13001>, and for partial correlation analysis following Gorbach, T. and de Luna, X. (2018) <doi:10.1016/j.spl.2018.05.027>.

Authors:Minna Genbäck [aut, cre], Tetiana Gorbach [aut]

ui_1.0.1.tar.gz
ui_1.0.1.zip(r-4.7-any)ui_1.0.1.zip(r-4.6-any)ui_1.0.1.zip(r-4.5-any)
ui_1.0.1.tgz(r-4.6-any)ui_1.0.1.tgz(r-4.5-any)
ui_1.0.1.tar.gz(r-4.7-any)ui_1.0.1.tar.gz(r-4.6-any)
ui_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ui/json (API)

# Install 'ui' in R:
install.packages('ui', repos = c('https://minnage.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.05 score 1 stars 279 scripts 395 downloads 4 mentions 20 exports 72 dependencies

Last updated from:d0ec0c6d50. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK140
source / vignettesOK357
linux-releaseOK304
macos-releaseOK200
macos-oldrelOK222
windows-develOK121
windows-releaseOK332
windows-oldrelOK109
wasm-releaseOK210

Exports:gridrho_fgrrhessinterv_plambda0lambda1logl_probitlogl_sand_actml_probitprofilesand_dr_actsand_or_acesand_or_actse_olssigma_ols_cor0sigma_ols_cor1ui_causalui_olsui_pcorui_probit

Dependencies:askpassbase64encbslibcachemclicpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMatrixmaxLikmemoisemimemiscToolsmvtnormnumDerivopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sandwichsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyamlzoo

Readme and manuals

Help Manual

Help pageTopics
Support function for 'ui_causal'gridrho_f
Gradient for the loglikelihood used by ui_probitgrr
Hessian for the loglikelihood used by ui_probithess
Print interval in parantesisinterv_p
Inverse Mills ratolambda0
Inverse Mills ratolambda1
Loglikelihood used by ui_probitlogl_probit
Loglikelohood used in sandwich estimator of average causal effect on the treated for DRlogl_sand_act
Fit maximum likelihood for fixed values of rhoml_probit
Plot of UI and CIplot.uiols
Plot of UI and CI for partial correlationplot.uipcor
Plot of UI and CIplot.uiprobit
Print function for object of class uicausalprint.uicausal
Prints objects of class uiolsprint.uiols
Prints objects of class uipcorprint.uipcor
Prints objects of class uiprobitprint.uiprobit
Profile method for ui objectsprofile
Plot of UI and CIprofile.uicausal
Plot of UI and CIprofile.uiols
Plot of confidence intervals for partial correlation by values of the sensitivity parameter (s).profile.uipcor
Plot of UI and CIprofile.uiprobit
Calculates standard error of Average causal effect on the treatedsand_dr_act
Calculates standard error of Average causal effectsand_or_ace
Calculates standard error of Average causal effect on the treatedsand_or_act
Calculation of se for OLSse_ols
Correction of OLS sigma for causal effectssigma_ols_cor0
Correction of OLS sigmasigma_ols_cor1
Uncertainty intervals for Average Causal Effectsui_causal
Uncertainty intervals for OLS regressionui_ols
Uncertainty intervals for partial correlationui_pcor
Uncertainty intervals for probit regressionui_probit