kernelIntensities: Direct kernel estimator intensities

Description Usage Arguments Details Examples

View source: R/output.R

Description

Compute smooth intensities with direct kernel estimation of intensities relying on a classification tau. This can be used with the values τ obtained on a dataset with mainVEM function run with 'hist' method.

Usage

1
2
kernelIntensities(data, tau, Q, n, directed, rho = 1, sparse = FALSE,
  nb.points = 1000)

Arguments

data

List with 3 components:

  • data$time.seq : sequence of observed time points of the m-th event (M-vector)

  • data$type.seq : sequence of observed values convertNodePair(i,j,n,directed) (auxiliary.R) of process that produced the mth event (M-vector)

  • $Time - [0,data$Time] is the total time interval of observation

tau

τ

Q

Total number of groups

n

Total number of nodes

directed

Boolean for directed (TRUE) or undirected (FALSE) case

rho

ρ

sparse

Boolean for sparse (TRUE) or not sparse (FALSE) case

nb.points

Number of points

Details

Warning : sparse case not implemented !!!

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
# The generated_sol_kernel was generated calling mainVEM with kernel method on the generated_Q3 data
# (50 individuals and 3 clusters)

data <- generated_Q3$data

n <- 50
Q <- 3


# compute smooth intensity estimators
sol.kernel.intensities <- kernelIntensities(data,generated_sol_kernel$tau,Q,n,directed=FALSE)

ppsbm documentation built on March 19, 2018, 5:03 p.m.