BSTZINB (version 2.0.1)

TimetrendCurve: 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)

Value

time-trend curves

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.

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"))
# \donttest{
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)
# }