DiffBetaNB {betaNB} | R Documentation |
Estimate Differences of Standardized Slopes and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping
Description
Estimate Differences of Standardized Slopes and Generate the Corresponding Sampling Distribution Using Nonparametric Bootstrapping
Usage
DiffBetaNB(object, alpha = c(0.05, 0.01, 0.001))
Arguments
object |
Object of class |
alpha |
Numeric vector.
Significance level |
Details
The vector of differences of standardized regression slopes
is estimated from bootstrap samples.
Confidence intervals are generated by obtaining
percentiles corresponding to
from the generated sampling
distribution of differences of standardized regression slopes,
where
is the significance level.
Value
Returns an object
of class betanb
which is a list with the following elements:
- call
Function call.
- args
Function arguments.
- thetahatstar
Sampling distribution of differences of standardized regression slopes.
- vcov
Sampling variance-covariance matrix of differences of standardized regression slopes.
- est
Vector of estimated differences of standardized regression slopes.
- fun
Function used ("DiffBetaNB").
Author(s)
Ivan Jacob Agaloos Pesigan
See Also
Other Beta Nonparametric Bootstrap Functions:
BetaNB()
,
DeltaRSqNB()
,
NB()
,
PCorNB()
,
RSqNB()
,
SCorNB()
Examples
# Data ---------------------------------------------------------------------
data("nas1982", package = "betaNB")
# Fit Model in lm ----------------------------------------------------------
object <- lm(QUALITY ~ NARTIC + PCTGRT + PCTSUPP, data = nas1982)
# NB -----------------------------------------------------------------------
nb <- NB(
object,
R = 100, # use a large value e.g., 5000L for actual research
seed = 0508
)
# DiffBetaNB ---------------------------------------------------------------
out <- DiffBetaNB(nb, alpha = 0.05)
## Methods -----------------------------------------------------------------
print(out)
summary(out)
coef(out)
vcov(out)
confint(out, level = 0.95)