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sdPrior (version 0.2)

DesignM: Computing Designmatrix for Splines

Description

This function computes the design matrix for Bayesian P-splines as it would be done in BayesX. The implementation currently on works properly for default values (knots=20, degree=3).

Usage

DesignM(x, degree = 3, knots = 20, min_x = min(x), max_x = max(x))

Arguments

Value

  • a list with design matrix at distinct covariates, design matrix at all observations, index of sorted observations, the difference matrix, precision matrix and the knots used.

References

Stefan Lang and Andy Brezger (2004). Bayesian P-Splines. Journal of Computational and Graphical Statistics, 13, 183--212. Belitz, C., Brezger, A., Klein, N., Kneib, T., Lang, S., Umlauf, N. (2015): BayesX - Software for Bayesian inference in structured additive regression models. Version 3.0.1. Available from http://www.bayesx.org.