Nothing
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE, warning = FALSE, message = FALSE, comment = "#>")
## ----eval = F-----------------------------------------------------------------
# install.packages("SpeTestNP")
#
## ----eval = F-----------------------------------------------------------------
# install.packages("devtools")
#
# library("devtools")
#
# install_github("HippolyteBoucher/SpeTestNP")
#
## ----eval = F-----------------------------------------------------------------
# SpeTest(eq)
#
## -----------------------------------------------------------------------------
library(SpeTestNP)
library(AER)
### Loading the data and taking a first look
data( CPSSW8 )
summary ( CPSSW8 )
## -----------------------------------------------------------------------------
lm_lin <- lm( earnings ~ age + education,
data = CPSSW8[1:1000,] )
summary ( lm_lin )
## -----------------------------------------------------------------------------
SpeTest( lm_lin , type = "icm" , rejection = "bootstrap" )
SpeTest( lm_lin , type = "zheng" , rejection = "asymptotics" )
## -----------------------------------------------------------------------------
lm_quad <- lm( earnings ~ age + I(age^2) + education + I(education^2),
data = CPSSW8[1:1000,] )
summary( lm_quad )
SpeTest( lm_quad , type = "icm" , rejection = "bootstrap" )
SpeTest( lm_quad , type = "zheng" , rejection = "asymptotics")
## -----------------------------------------------------------------------------
lm_nlin <- lm( earnings ~ age + I(age^2) + education + I(education^2)
+ I(education*age) + I(education^2*age)
+ I(education*age^2) + I(education^2*age^2),
data= CPSSW8[1:1000,] )
summary( lm_nlin )
SpeTest( lm_nlin , type = "icm" , rejection = "bootstrap" )
SpeTest( lm_nlin , type = "zheng" , rejection = "asymptotics")
## -----------------------------------------------------------------------------
SpeTest( lm_nlin, type = "pala", rejection = "asymptotics", nbeta = 40 )
SpeTest( lm_nlin, type = "pala", rejection = "bootstrap" , nboot = 10 , nbeta = 10 )
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