This is the Linux app named DeDAY whose latest release can be downloaded as DeDay_beta2.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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DeDAY
DESCRIPTION
DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions.
DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and in-dependent mortality.
Mixed models partition mortality into exogenous and endogenous components, so that the intrinsic survivorship can be estimated without the interference from extrinsic noise.
DeDAY supports both interval-censored data and exact event-time data. Using MLE (Maximum Likelihood Estimate), DeDAY fits statistic model to the data. DeDAY also calculates the variances and the multi-dimensional confidence limits of model parameters.
DeDAY is free for academic users.
Audience
Healthcare Industry, Science/Research, Advanced End Users, End Users/Desktop
User interface
Win32 (MS Windows), wxWidgets, Carbon (Mac OS X)
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/deday/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
