deday

We have hosted the application deday in order to run this application in our online workstations with Wine or directly.

Quick description about deday:

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.
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