bw_cv_likelihood_calc_tkde: Bandwidth selection for Temporal Kernel density estimate by...

In spNetwork: Spatial Analysis on Network

Bandwidth selection for Temporal Kernel density estimate by likelihood cross validation

Description

Calculate the likelihood cross validation score for several bandwidths for the Temporal Kernel density

Usage

bw_cv_likelihood_calc_tkde(events, w, bws, kernel_name)

Arguments

events	A numeric vector representing the moments of occurrence of events
w	The weight of the events
bws	A numeric vector, the bandwidths to use
kernel_name	The name of the kernel to use

Value

A vector with the cross validation scores (the higher the better).

Examples

data(bike_accidents)
bike_accidents$Date <- as.POSIXct(bike_accidents$Date, format = "%Y/%m/%d")
start <- min(bike_accidents$Date)
diff <- as.integer(difftime(bike_accidents$Date , start, units = "days"))
w <- rep(1,length(diff))
scores <- bw_cv_likelihood_calc_tkde(diff, w, seq(10,60,10), "quartic")

spNetwork documentation built on Aug. 24, 2023, 5:10 p.m.