R x C Ecological Inference With Optional Incorporation of Survey
Information
D. James Greiner, Paul Baines, and Kevin M. Quinn
Fits the R x C inference model described in Greiner and
Quinn (2009).  Allows incorporation of survey results.

'R x C Ecological Inference With Optional Incorporation of
Survey Information'
MASS, MCMCpack, mvtnorm, lattice, coda, stats

Fits the R x C inference model described in Greiner and
Quinn (2009) <DOI:10.1111/j.1467-985X.2008.00551.x> and Greiner and
Quinn (2010) <DOI:10.1214/10-AOAS353>.
Allows incorporation of survey results.

Facilities for Simulating from ODE-Based Models
c(
person("Melissa", "Hallow",
role = c("aut", "cre"), email = "hallowkm@uga.edu"),
person("Wenping", "Wang",
role = "aut", email = "Wenping.wang@outlook.com"),
person(c("David", "A."), "James",
role = "aut", email = "daj025@gmail.com")
)
Melissa Hallow [aut, cre], Wenping Wang [aut], David A. James [aut]
Facilities for running simulations from ordinary
differential equation (ODE) models, such as pharmacometrics and other
compartmental models.  A compilation manager translates the ODE model
into C, compiles it, and dynamically loads the object code into R for
improved computational efficiency.  An event table object facilitates
the specification of complex dosing regimens (optional) and sampling
schedules.  NB: The use of this package requires both C and
Fortran compilers, for details on their use with R please see
Section 6.3, Appendix A, and Appendix D in the "R Administration and
Installation" manual.

c(
person("Melissa", "Hallow",
role = "aut", email = "hallowkm@uga.edu"),
person("Wenping", "Wang",
role = c("aut", "cre"), email = "wwang8198@gmail.com")
)
Melissa Hallow [aut], Wenping Wang [aut, cre]

c(
person("Melissa", "Hallow",
role = "aut", email = "hallowkm@uga.edu"),
person("Matthew L.","Fidler",
role = "aut", email = "matthew.fidler@gmail.com"),
person("Wenping", "Wang",
role = c("aut", "cre"), email = "wwang8198@gmail.com")
)
Melissa Hallow [aut], Matthew L. Fidler [aut], Wenping Wang [aut, cre]
Facilities for running simulations from ordinary
differential equation (ODE) models, such as pharmacometrics and other
compartmental models.  A compilation manager translates the ODE model
into C, compiles it, and dynamically loads the object code into R for
improved computational efficiency.  An event table object facilitates
the specification of complex dosing regimens (optional) and sampling
schedules.