make.design {surveillance}R Documentation

Create the design matrices

Description

Creates the design matrices needed for meanResponse

Usage

  make.design(disProgObj, control=list(linear=FALSE, nseason=0, period=52,
      neighbours=FALSE, negbin=FALSE, lambda=TRUE))

Arguments

disProgObj Object of class disProg
control Control object:
    linear
    if true a linear trend is included.
    nseason
    number of Fourier frequencies to be used
    period
    period length (defaults to 52 for weekly data)
    neighbours
    if true a autoregressive parameter for adjacent areas is included.
    negbin
    if true negative binomial rather than poisson is used.
    lambda
    if true a autoregressive parameter is included.

Details

Value

list
    Y
    matrix with number of cases y_{it} in unit i at time t as elements, i.e. data without the first time point.
    Ym1
    matrix with previous number of cases y_{i,t-1}, i.e data without the last time point.
    Ym1.neighbours
    matrix with sum of earlier counts of adjacent units sum_{j sim i} y_{j,t-1}
    X.trendSeason
    design matrix for linear trend and seasonal components
    X.predict
    design matrix for prediction
    populationFrac
    matrix with corresponding population proportions
    dimtheta
    number of parameters used in model
    psiIndex
    position of psi in vector with parameters
    control
    control object

Author(s)

M.Paul, L. Held

Source

See Also

Examples






[Package surveillance version 0.9-2 Index]