Implementation of some (simple) Individual Based Models and methods
to create new ones, particularly for population dynamics models (reproduction,
mortality and movement). The basic operations for the simulations are
implemented in Rcpp for speed.

Connect to Your IBM 'Acoustic' Data with 'R'
person(given = "Chris",
family = "Umphlett",
role = c("aut", "cre"),
email = "christopher.umphlett@gmail.com")
Authentication can be the most difficult part about
working with a new API. 'ibmAcousticR' facilitates making a
connection to the IBM 'Acoustic' email campaign management API
and executing various queries. The IBM 'Acoustic' API
documentation is available at
<https://developer.ibm.com/customer-engagement/docs/>.

c(person(given = "Chris",
family = "Umphlett",
role = c("aut", "cre"),
email = "christopher.umphlett@gmail.com"),
person(given = "Avinash",
family = "Panigrahi",
role = "aut",
email = "avinashpanigrahi@outlook.com"))
Authentication can be the most difficult part about
working with a new API. 'ibmAcousticR' facilitates making a
connection to the 'IBM Acoustic' email campaign management API
and executing various queries. The 'IBM Acoustic' API
documentation is available at
<https://developer.ibm.com/customer-engagement/docs/>. This
package is not supported by 'IBM'.
Chris Umphlett [aut, cre],
Avinash Panigrahi [aut]

Toolkits to Develop Individual-Based Models in Infectious
Disease
person("Sai Thein Than", "Tun", email = "theinthantun.sai@gmail.com", role = c("aut", "cre"))
It provides a generic set of tools for initializing a synthetic
population with each individual in specific disease states, and
making transitions between those disease states according to the rates
calculated on each timestep. Additional functions will follow for changing
attributes on demographic, health belief and movement.
Sai Thein Than Tun <theinthantun.sai@gmail.com>

It provides a generic set of tools for initializing a synthetic
population with each individual in specific disease states, and
making transitions between those disease states according to the rates
calculated on each timestep. The new version 1.0.0 has C++ code
integration to make the functions run faster. It has also a higher level
function to actually run the transitions for the number of timesteps
that users specify. Additional functions will follow for changing
attributes on demographic, health belief and movement.