Title: Identify Event Sequences Using Time Series Joins
Imports: data.table (>= 1.9.5), fasttime (>= 1.0-2)
Suggests: knitr, rmarkdown, ggplot2, devtools, testthat
Authors@R: person("Mark", "Sendak", email = "mark.sendak@gmail.com",
Description: Examine any number of time series data frames to identify
instances in which various criteria are met within specified time
frames. In clinical medicine, these types of events are often
called "constellations of signs and symptoms", because a single
condition depends on a series of events occurring within a certain
amount of time of each other. This package was written to work with
any number of time series data frames and is optimized for speed
to work well with data frames with millions of rows.

Package: constrainedKriging
Version: 0.1.0
Type: Package
Title: Constrained, covariance-matching constrained and universal point
or block kriging
Date: 2010-02-24
Author: Christoph Hofer
Maintainer: Christoph Hofer <christoph.hofer@alumni.ethz.ch>
Description: The constrainedKriging package provides functions for
efficient computations of nonlinear spatial predictions with
local change of support. The package supplies functions for
tow-dimensional spatial interpolation by constrained,
covariance-matching constrained and universal (external drift)
kriging for points or block of any shape for data with a
nonstationary mean function and an isotropic weakly stationary
variogram. The linear spatial interpolation methods,
constrained and covariance-matching constrained kriging,
provide approximately unbiased prediction for nonlinear target
values under change of support. The constrainedKriging package
extends the range of geostatistical tools available in R and
provides a veritable alternative to conditional simulation for
nonlinear spatial prediction problems with local change of
support.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Depends: R (>= 2.9.0), sp(>= 0.9-60), spatialCovariance(>= 0.6-4),
methods
Imports: gpclib(>= 1.5-1), RandomFields(>= 1.3.41)
Packaged: 2010-07-28 11:09:56 UTC; hoferc
Repository: CRAN
Date/Publication: 2010-07-29 09:13:31