bnpconmediation: Posterior Means and 95% C.I.s of the conditional NIE, NDE and...

Description Usage Arguments Value

View source: R/BNPConMediation.R

Description

Obtain posterior means and credible intervals of the effects.

Usage

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bnpconmediation(obj1, obj0, q, NN = 10, n1, n0, extra.thin = 0,
  cond.values = c(45, 35), col.values = c(1, 2))

Arguments

obj1

The fitted model of the observed data under Z=1 from DPdensity

obj0

The fitted model of the observed data under Z=0 from Dpdensity

q

A dimension of the observed data, i.e., number of covariates plus 2

NN

Number of samples drawn for each iteration from the joint distribution of the mediator and the covariates. Default is 100.

n1

Number of observations under Z=1

n0

Number of observations under Z=0

extra.thin

Giving the extra thinning interval

cond.values

conditional values of the covariates

col.values

columns orders of the conditional covariates among all covariates

Value

ENIE Posterior mean of the NIE

ENDE Posterior mean of the NDE

ETE Posterior mean of the TE

IE.c.i 95% C.I. of the NIE

DE.c.i 95% C.I. of the NDE

TE.c.i 95% C.I. of the TE

Y11 Posterior samples of Y11

Y00 Posterior samples of Y00

Y10 Posterior samples of Y10


lit777/BNPMediation documentation built on June 6, 2017, 9:21 a.m.