pr2ncdbias {ovbsa}R Documentation

bias and std error for (kd,ky) using partial R2-based analysis without conditioning on treatment

Description

bias and std error for (kd,ky) using partial R2-based analysis without conditioning on treatment

Usage

pr2ncdbias(kd, ky, alpha, data, outcome, treatment, bnch_reg, other_reg = NULL)

Arguments

kd

sensitivity parameter kD (scalar)

ky

sensitivity parameter kY (scalar)

alpha

significance level for hypothesis test (e.g. 0.05)

data

data frame for analysis

outcome

name of outcome variable

treatment

name of treatment variable

bnch_reg

name(s) of benchmark covariate(s)

other_reg

name(s) of other covariate(s)

Value

a list with the following elements:

adjestp

Adj std error when unadj estimate>0

adjestn

Adj std error when unadj estimate<0

cilbp

Adj lower boundary of conf int when unadj estimate>0

ciubp

Adj upper boundary of conf int when unadj estimate>0

cilbn

Adj lower boundary of conf int when unadj estimate<0

ciubn

Adj upper boundary of conf int when unadj estimate<0

Examples

require("sensemakr")
Y <- "peacefactor"
D <- "directlyharmed"
X <- "female"
X_oth <- c("village","age","farmer_dar","herder_dar","pastvoted","hhsize_darfur")


res4<-pr2ncdbias(kd=1,ky=1,alpha=0.05,data=darfur,outcome=Y,treatment=D,bnch_reg=X,other_reg=X_oth)


[Package ovbsa version 2.0.0 Index]