Title: Factorial Experiments with Minimum Level Changes
person("Shwetank", "Lall", email = "shwetanklall@gmail.com",
person("Arpan", "Bhowmik", email = "arpan.stat@gmail.com ",
person("Eldho", "Varghese", email = "eldhoiasri@gmail.com",
person("Seema", "Jaggi", email = "seema@iasri.res.in ",
person("Cini", "Varghese", email = "cini_v@iasri.res.in ",
Description: Generate cost effective minimally changed run sequences
for symmetrical as well as asymmetrical factorial

Packaged: 2022-04-17 04:42:46 UTC; JiyoSumnny

Title: Efficient Estimation of Clustered Current Status Data
Authors@R: c(person("Tong", "Wang", role = c("aut", "cre"),
person("Samiran", "Sinha", role = "aut"))
Description: Current status data abounds
in the field of epidemiology and public health, where the only observable data for a subject is
the random inspection time and the event status at inspection. Motivated by such a current status
data from a periodontal study where data are inherently clustered,
we propose a unified methodology to analyze such complex data.

Title: A Flexible Modelling Environment for inverse modelling,
sensitivity, identifiability, Monte Carlo analysis.
Author: Karline Soetaert <k.soetaert@nioo.knaw.nl>, Thomas Petzoldt
Depends: R (>= 2.6), deSolve, rootSolve, minpack.lm, MASS, coda
Description: Provides functions to help in fitting models to data, to
perform Monte Carlo, sensitivity and identifiability analysis.
It is intended to work with models be written as a set of
differential equations that are solved either by an integration
routine from package deSolve, or a steady-state solver from
package rootSolve. However, the methods can also be used with

Package: FME
Version: 1.1.1
Title: A Flexible Modelling Environment for Inverse Modelling,
Sensitivity, Identifiability, Monte Carlo Analysis.
Author: Karline Soetaert <k.soetaert@nioo.knaw.nl>, Thomas Petzoldt
<thomas.petzoldt@tu-dresden.de>
Maintainer: Karline Soetaert <k.soetaert@nioo.knaw.nl>
Depends: R (>= 2.6), deSolve, rootSolve, minpack.lm, MASS, coda
Description: Provides functions to help in fitting models to data, to
perform Monte Carlo, sensitivity and identifiability analysis.
It is intended to work with models be written as a set of
differential equations that are solved either by an integration
routine from package deSolve, or a steady-state solver from
package rootSolve. However, the methods can also be used with
other types of functions.
License: GPL (>= 2)
LazyData: yes
Packaged: 2011-03-24 23:27:43 UTC; user
Repository: CRAN
Date/Publication: 2011-03-26 15:43:43