rcs_logistic.lshap {rcssci} | R Documentation |
rcs_logistic.lshap
Description
restricted cubic splines (RCS) published in SCI.
Arguments
data |
data.frame.Rdata |
knot |
knot=3-7 or automatic calculate by AIC min |
y |
outcome=0,1 |
covs |
covariables, univariate analysis without "covs" command, multivariable analysis with "covs" command |
prob |
position parameter,range from 0-1 |
x |
main exposure and X-axis when plotting |
filepath |
path of plots output. |
Details
logistic models with RCS splines were performed to explore the shape linear or nonlinear(U, inverted U,J,S,L,log,-log,temporary plateau shape)
Value
message.print PH assumption and other message
Author(s)
Zhiqiang Nie, niezhiqiang@gdph.org.cn
Examples
library(rcssci)
rcs_logistic.lshap(data=sbpdata, y = "status",x = "sbp",
prob=0.1,filepath=tempdir())
# library(rcssci)
# rcs_logistic.lshap(knot=4,data=sbpdata, y = "status",x = "sbp",
# covs=c("age","gender"),prob=0.1,filepath="D:/temp")
[Package rcssci version 0.4.0 Index]