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Davidian curves in R

A Davidian curve defines a seminonparametric density, whose shape and flexibility can be tuned by easy to estimate parameters. Since a special case of a Davidian curve is the standard normal density, Davidian curves can be used for relaxing normality assumption in statistical applications [1].

This package provides the density function, the gradient of the loglikelihood and a random generator for Davidian curves:

1. ddc(x, phi), Davidian curve density function
2. rdc(n, phi), a random sampler for Davidian curves
3. dc_grad(x, phi), the gradient function of Davidian curves

The second argument phi of these functions is a vector, which contains the parameter(s) of a Davidian curve. The higher the number of parameters, the more flexible the density. The values of the parameres define the shape of the curve. Following [1, 2], this package provides support for Davidian curves up to 10 parameters.

References

1. Zhang, D., & Davidian, M. (2001). Linear mixed models with flexible distributions of random effects for longitudinal data. Biometrics, 57(3), 795-802.
2. Woods, C. M., & Lin, N. (2009). Item response theory with estimation of the latent density using Davidian curves. Applied Psychological Measurement, 33(2), 102-117.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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