confint.DiSSMod: Getting Confidence Intervals for Parameters of Discrete...

In DiSSMod: Fitting Sample Selection Models for Discrete Response Variables

Description

confint method for a class "DiSSMod".

Usage

## S3 method for class 'DiSSMod'
confint(object, parm, level = 0.95, ...)

Arguments

object	an object of class "DiSSMod" made by the function DiSSMod.
parm	not used, but it exists for compatibility reasons.
level	a numeric value between 0 and 1 for controlling the significance level of confidence interval; default value is 0.95.
...	not used, but it exists for compatibility reasons.

Value

a list, containing level and confidence intervals for parameters, is given.

See Also

See also confint, DiSSMod and summary.DiSSMod.

Examples

# example continued from DiSSMod
set.seed(45)
data(DoctorRWM, package = "DiSSMod")
n0 <- 600
set.n0 <- sample(1:nrow(DoctorRWM), n0)
reduce_DoctorRWM <- DoctorRWM[set.n0,]
result0 <- DiSSMod(response = as.numeric(DOCVIS > 0) ~ AGE + INCOME_SCALE + HHKIDS + EDUC + MARRIED,
                   selection = PUBLIC ~ AGE + EDUC + FEMALE,
                   data = reduce_DoctorRWM, resp.dist="bernoulli", select.dist = "normal",
                   alpha = seq(-5.5, -0.5, length.out = 21), standard = TRUE)

confint(result0, level = 0.90)

data(CreditMDR, package = "DiSSMod")
n1 <- 600
set.n1 <- sample(1:nrow(CreditMDR), n1)
reduce_CreditMDR <- CreditMDR[set.n1,]
result1 <- DiSSMod(response = MAJORDRG ~ AGE + INCOME + EXP_INC,
                   selection = CARDHLDR ~ AGE + INCOME + OWNRENT + ADEPCNT + SELFEMPL,
                   data = reduce_CreditMDR, resp.dist="poi", select.dist = "logis",
                   alpha = seq(-0.3, 0.3,length.out = 21), standard = FALSE, verbose = 1)

confint(result1)

DiSSMod documentation built on May 2, 2019, 8:33 a.m.