如何使用命令查看boston数据

cars.gb <- glmboost(dist ~ speed, data = cars,
           control = boost_control(mstop = 5000))
                        
cars.gb
#Number of boosting iterations: mstop = 5000
#Step size:  0.1
#Offset:  42.98

#Coefficients:
#(Intercept)       speed
#-60.559044    3.932406
#attr(,"offset")
#[1] 42.98

################
x=cars$speed
y=cars$dist
mod1=glmboost(y~x,control = boost_control(mstop = 5000))
mod1


###############
library("Matrix")
x=cars$speed
x1=cbind(1,x)
xm=Matrix(x1)
y=cars$dist
mod2=glmboost(y = y, x = xm,control = boost_control(mstop = 5000))
mod2
#Number of boosting iterations: mstop = 5000
#Step size:  0.1
#Offset:  42.98

#Coefficients:
#                    x
#-60.559044   3.932406
#attr(,"offset")
#[1] 42.98

epoh老师，谢谢您了。
又学到了知识了

ibrary("Matrix")
cars.gb <- glmboost(dist ~ -1+speed, data = cars,
           control = boost_control(mstop = 5000),center = TRUE)
cars.gb
#Number of boosting iterations: mstop = 5000
#Step size:  0.1
#Offset:  42.98

#Coefficients:
#   speed
#3.932409
#attr(,"offset")
#[1] 42.98


########
########
#1. center the design matrix for much quicker "convergence"
#2. need not contain intercept
x=cars$speed
xm=Matrix(x)
y=cars$dist
mod2=glmboost(y = y, x = xm,control = boost_control(mstop = 5000),center = TRUE)### mstop needs tuning
mod2
#Number of boosting iterations: mstop = 5000
#Step size:  0.1
#Offset:  42.98

#Coefficients:
#      V1
#3.932409
#attr(,"offset")
#[1] 42.98

谢谢epoh老师，经过您的指导，已经知晓

3# zhangtao

貌似就是：近似的剖面似然估计，Jianqing Fan有篇文章写的是这个

我收藏了，努力学习啊！！