TimetrendCurve {BSTZINB} | R Documentation |
Time-trend curve over the study time domain for counties in the US
Description
Produce a time-trend curve over the study time domain for counties in the US
Usage
TimetrendCurve(bstfit,cname,vn=5,smooth.mode=TRUE,
cex.title=18, cex.lab=18, cex.legend=18)
Arguments
bstfit |
fitted object from BSTP, BSTNB or BSTZINB |
cname |
character vector of county names to use |
vn |
positive integer, number of sample counties to use |
smooth.mode |
logical, should splines be fitted to make it smooth |
cex.title |
Positive number to control the size of the text of the main title. Defaults to 18. |
cex.lab |
Positive number to control the size of the text in the axes labels. Defaults to 18. |
cex.legend |
Positive number to control the size of the text in the legend. Defaults to 18. |
Value
time-trend curves
Examples
data(simdat)
y <- simdat$y
X <- cbind(simdat$V1,simdat$x)
data(county.adjacency)
data(USAcities)
IAcities <- subset(USAcities,state_id=="IA")
countyname <- unique(IAcities$county_name)
A <- get_adj_mat(county.adjacency,countyname,c("IA"))
res3 <- BSTZINB(y, X, A, LinearT=TRUE, nchain=3, niter=100, nburn=20, nthin=1)
TimetrendCurve(res3,cname=countyname,vn=5,smooth.mode=TRUE,cex.title=18, cex.lab=12, cex.legend=12)
[Package BSTZINB version 1.0.1 Index]