cdec cleanup, remove bayesian stuff, parsing stuff

1 files changed, 0 insertions, 72 deletions

diff --git a/gi/pyp-topics/src/gammadist.h b/gi/pyp-topics/src/gammadist.h
deleted file mode 100644
index b6ad6c40..00000000
--- a/gi/pyp-topics/src/gammadist.h
+++ /dev/null
@@ -1,72 +0,0 @@
-/* gammadist.h -- computes probability of samples under / produces samples from a Gamma distribution
- *
- * Mark Johnson, 22nd March 2008
- *
- * gammavariate() was translated from random.py in Python library
- *
- * The Gamma distribution is:
- *
- *   Gamma(x | alpha, beta) = pow(x/beta, alpha-1) * exp(-x/beta) / (gamma(alpha)*beta)
- *
- * shape parameter alpha > 0 (also called c), scale parameter beta > 0 (also called s); 
- * mean is alpha*beta, variance is alpha*beta**2
- *
- * Note that many parameterizations of the Gamma function are in terms of an _inverse_
- * scale parameter beta, which is the inverse of the beta given here.
- */
-
-#ifndef GAMMADIST_H
-#define GAMMADIST_H
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-  
-  /* gammadist() returns the probability density of x under a Gamma(alpha,beta) 
-   * distribution
-   */
-
-  long double gammadist(long double x, long double alpha, long double beta);
-
-  /* lgammadist() returns the log probability density of x under a Gamma(alpha,beta)
-   * distribution
-   */
-
-  long double lgammadist(long double x, long double alpha, long double beta);
-
-  /* gammavariate() generates samples from a Gamma distribution
-   * conditioned on the parameters alpha and beta.
-   * 
-   * alpha > 0, beta > 0, mean is alpha*beta, variance is alpha*beta**2
-   *
-   * Warning: a few older sources define the gamma distribution in terms
-   * of alpha > -1.0
-   */
-
-  long double gammavariate(long double alpha, long double beta);
-
-  /* betadist() returns the probability density of x under a Beta(alpha,beta)
-   * distribution.
-   */
-
-  long double betadist(long double x, long double alpha, long double beta);
-
-  /* lbetadist() returns the log probability density of x under a Beta(alpha,beta)
-   * distribution.
-   */
-  
-  long double lbetadist(long double x, long double alpha, long double beta);
-
-  /* betavariate() generates a sample from a Beta distribution with
-   * parameters alpha and beta.
-   *
-   * 0 < alpha < 1, 0 < beta < 1, mean is alpha/(alpha+beta)
-   */
-
-  long double betavariate(long double alpha, long double beta);
-
-#ifdef __cplusplus
-};
-#endif
-
-#endif /* GAMMADIST_H */