Description Usage Arguments Details Value Author(s) References Examples
The data list prepared by this function will be the input to the BMAnimalTrack
function.
1 2 | as.dataList(X, Y, Ytime, Xtime=NULL, s2G, timeUnit=1, dUnit=1,
dMx=NULL, betaOrder=1, scale=TRUE)
|
X |
DR path. The length of it is |
Y |
GPS observations. |
Ytime |
The time points where the GPS observations are obtained. It has to be a subset of |
Xtime |
The time points where the DR path is obtained. When unspecified taken to be 1:T. See details for more. |
s2G |
The variance of the measurement errors in the GPS observations. |
timeUnit |
Optional. If provided, the working time points become 1:T/timeUnit, which can be used to stablize the estimates of s2H. |
dUnit |
Optional. Distance unit. It can be used to scale |
dMx |
The design matrix of the parametric bias h(t) in the DR path. |
betaOrder |
Only used when |
scale |
Logical. Whether to scale the design matrix |
If dMx
is not specified. The h(t) is chosen to be polynomial of order betaOrder
.
For Xtime
and Ytime
, they can either be vectors of POSIXlt/POSIXt time points from strptime
or character or numeric vectors. But they must be POSIXlt/POSIXt time points when the Xtime
are not regularly spaced. See the example in Trip1
.
A list of the following values
XMx |
A matrix with |
glist |
A list with of the data on the GPS time points |
.
Yang (Seagle) Liu <yang.liu@stat.ubc.ca>
Liu, Y., Battaile, B. C., Zidek, J. V., and Trites, A. (2014). Bayesian melding of the Dead-Reckoned path and gps measurements for an accurate and high-resolution path of marine mammals. arXiv preprint arXiv: 1411.6683.
1 2 3 4 5 6 7 8 | set.seed(1)
#Generating data from our
dlist <- dataSim(T=100, K=10, s2H=1, s2D=0.1, betaVec=c(1))
gpsObs <- dlist$Y
gpsTime <- dlist$Ytime
drPath <- dlist$X
wlist <- as.dataList(drPath, gpsObs, gpsTime, timeUnit=1, s2G=0.01, dUnit=1, betaOrder=1)
#Example continuous in "BMAnimalTrack".
|
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