Package: constrainedKriging
Version: 0.1.6
Type: Package
Title: Constrained, covariance-matching constrained and universal point
or block kriging
Date: 2011-08-11
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
two-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: 2011-08-11 21:20:45 UTC; hofc
Repository: CRAN
Date/Publication: 2011-08-12 05:09:38

Imports: rgeos(>= 0.2-6), RandomFields(>= 1.3.41),

Imports: rgeos(>= 0.2-17), RandomFields(>= 1.3.41),

Title: Constrained, Covariance-Matching Constrained and Universal Point
local change of support. This package supplies functions for
values under change of support. This package

Title: Continued Fraction Generators and Evaluators
Description: This library provides functions to convert numbers to continued fractions and back again.

Authors@R: c(person("Shu", "Yang", role = "aut"),
Description: Implements the semiparametric efficient estimators of
continuous-time causal models for time-varying treatments and confounders
in the presence of dependent censoring (including structural failure time
model and Cox proportional hazards marginal structural model).
Collate: 'zooStep.R' 'IPCWStep.R' 'VStep.R' 'VStep2.R' 'verifyInputs.R'