Uncertainty Intervals and Sensitivity Analysis for Missing Data


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Documentation for package ‘ui’ version 1.0.1

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gridrho_f Support function for 'ui_causal'
grr Gradient for the loglikelihood used by ui_probit
hess Hessian for the loglikelihood used by ui_probit
interv_p Print interval in parantesis
lambda0 Inverse Mills rato
lambda1 Inverse Mills rato
logl_probit Loglikelihood used by ui_probit
logl_sand_act Loglikelohood used in sandwich estimator of average causal effect on the treated for DR
ml_probit Fit maximum likelihood for fixed values of rho
plot.uiols Plot of UI and CI
plot.uipcor Plot of UI and CI for partial correlation
plot.uiprobit Plot of UI and CI
print.uicausal Print function for object of class uicausal
print.uiols Prints objects of class uiols
print.uipcor Prints objects of class uipcor
print.uiprobit Prints objects of class uiprobit
profile Profile method for ui objects
profile.uicausal Plot of UI and CI
profile.uiols Plot of UI and CI
profile.uipcor Plot of confidence intervals for partial correlation by values of the sensitivity parameter (s).
profile.uiprobit Plot of UI and CI
sand_dr_act Calculates standard error of Average causal effect on the treated
sand_or_ace Calculates standard error of Average causal effect
sand_or_act Calculates standard error of Average causal effect on the treated
se_ols Calculation of se for OLS
sigma_ols_cor0 Correction of OLS sigma for causal effects
sigma_ols_cor1 Correction of OLS sigma
ui_causal Uncertainty intervals for Average Causal Effects
ui_ols Uncertainty intervals for OLS regression
ui_pcor Uncertainty intervals for partial correlation
ui_probit Uncertainty intervals for probit regression