Cenny Taslim <taslim.2@osu.edu>, with contributions from  Dustin Potter, Abbasali Khalili and Shili Lin <shili@stat.osu.edu>.
A robust differential identification method that considers an ensemble of finite mixture models combined with a local false discovery rate (fdr) to analyze ChIP-seq (high-throughput genomic)data comparing two samples allowing for flexible modeling of data.

Differential Identification using Mixture Ensemble
A robust identification of differential binding sites method for analyzing ChIP-seq (Chromatin Immunoprecipitation Sequencing)
comparing two samples that considers an ensemble of finite mixture models combined with a local false discovery rate (fdr)
allowing for flexible modeling of data. Methods for Differential Identification using Mixture Ensemble (DIME) is described in:
Taslim et al., (2011) <doi:10.1093/bioinformatics/btr165>.

R (>= 3.1.0), minpack.lm, numDeriv, stats
The implemented methods are: Bass Standard model, Bass Generalized model (with rectangular shock, exponential shock, mixed shock and armonic shock. You can choose to add from 1 to 3 shocks), Guseo-Guidolin model and Variable Potential Market model. The Bass model consists of a simple differential equation that describes the process of how new products get adopted in a population, the Generalized Bass model is a generalization of the Bass model in which there is a "carrier" function x(t) that allows to change the speed of time sliding. In some real processes the reachable potential of the resource available in a temporal instant may appear to be not constant over time, because of this we use Variable Potential Market model, in which the Guseo-Guidolin has a particular specification for the market function.

R (>= 3.1.0), minpack.lm, numDeriv, stats, forecast, reshape2,
deSolve
The implemented methods are: Bass model, Generalized Bass model (with rectangular shock, exponential shock, mixed shock and harmonic shock, 1 to 3 shocks available), Dynamic market potential model, and UCRCD model. The Bass model consists of a simple differential equation that describes the process of how new products get adopted in a population, the Generalized Bass model is a generalization of the Bass model with a function x(t), capturing the changing speed of diffusion. In some real processes the market potential may be not constant over time and a dynamic market potential model is needed. The Guseo-Guidolin model is a specification of this situation. The UCRCD model (Unbalanced Competition and Regime Change Diachronic) is a diffusion model used to capture the dynamics of competition between two products within the same market.