growfunctions 0.14

Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data

Released Mar 31, 2018 by Terrance Savitsky

This package can be loaded by Renjin but 5 out 6 tests failed.


RcppArmadillo 0.8.500.0 ggplot2 2.2.1 Rcpp mvtnorm 1.0-8 spam 2.1-4 reshape2 1.4.3

Estimates a collection of time-indexed functions under either of Gaussian process (GP) or intrinsic Gaussian Markov random field (iGMRF) prior formulations where a Dirichlet process mixture allows sub-groupings of the functions to share the same covariance or precision parameters. The GP and iGMRF formulations both support any number of additive covariance or precision terms, respectively, expressing either or both of multiple trend and seasonality.



This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

    <name>bedatadriven public repo</name>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:


Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.



View GitHub Mirror

Release History