Constrained, Covariance-Matching Constrained and Universal Point
or Block Kriging
Provides functions for
efficient computations of nonlinear spatial predictions with
local change of support. This 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. This 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.

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

Shu Yang [aut],
Shannon Holloway [aut, cre]
c(person("Shu", "Yang", role = "aut"),
person("Shannon", "Holloway", role = c("aut", "cre"),
email = "sthollow@ncsu.edu"))
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).
S. Yang, K. Pieper, and F. Cools (2019) <doi:10.1111/biom.12845>.
'zooStep.R' 'IPCWStep.R' 'VStep.R' 'VStep2.R' 'verifyInputs.R'
'ctCoxMSM.R' 'ctSFTM.R' 'ctcData.R' 'print.ctc.R'

Shu Yang [aut],
Shannon T. Holloway [aut, cre]
c(person("Shu", "Yang", role = "aut"),
person("Shannon T.", "Holloway", role = c("aut", "cre"),
email = "shannon.t.holloway@gmail.com"))

c(person(given = "Trevor", family = "Farthing", role = c("aut", "cre"),
email = "tsfarthi@ncsu.edu"), person(given = "Daniel", family = "Dawson",
role = "aut", email = "dedawson@ncsu.edu"), person(given = "Cristina",
family = "Lanzas", role = "ctb", email = "clanzas@ncsu.edu"))
Process spatially- and temporally-discrete data into contact and
social networks, and facilitate network analysis by randomizing
individuals' movement paths and/or related categorical variables. To use
this package, users need only have a dataset containing spatial data
(i.e., latitude/longitude, or planar x & y coordinates), individual IDs
relating spatial data to specific individuals, and date/time information
relating spatial locations to temporal locations. The functionality of this
package ranges from data "cleaning" via multiple filtration functions, to
spatial and temporal data interpolation, and network creation and analysis.
Functions within this package are not limited to describing interpersonal
contacts. Package functions can also identify and quantify "contacts"
between individuals and fixed areas (e.g., home ranges, water bodies,
buildings, etc.). As such, this package is an incredibly useful resource
for facilitating epidemiological, ecological, ethological and sociological
research.
Trevor Farthing [aut, cre],
Daniel Dawson [aut],
Cristina Lanzas [ctb]