numpy.np_log

Here are the examples of the python api numpy.np_log taken from open source projects. By voting up you can indicate which examples are most useful and appropriate.

4 Examples 7

Example 1

Project: statsmodels Source File: multivariate.py
def funbgh(s, a, b, R, df):
    sqrt_df = np.sqrt(df+0.5)
    ret = chi_logpdf(s,df)
    ret += np_log(mvstdnormcdf(s*a/sqrt_df, s*b/sqrt_df, R,
                                         maxpts=1000000, abseps=1e-6))
    ret = np_exp(ret)
    return  ret

Example 2

Project: statsmodels Source File: multivariate.py
def funbgh2(s, a, b, R, df):
    n = len(a)
    sqrt_df = np.sqrt(df)
    #np.power(s, df-1) * np_exp(-s*s*0.5)
    return  np_exp((df-1)*np_log(s)-s*s*0.5) \
           * mvstdnormcdf(s*a/sqrt_df, s*b/sqrt_df, R[np.tril_indices(n, -1)],
                          maxpts=1000000, abseps=1e-4)

Example 3

Project: statsmodels Source File: multivariate.py
def chi_pdf(x, df):
    tmp = (df-1.)*np_log(x) + (-x*x*0.5) - (df*0.5-1)*np_log(2.0) \
          - sps_gammaln(df*0.5)
    return np_exp(tmp)

Example 4

Project: statsmodels Source File: multivariate.py
def chi_logpdf(x, df):
    tmp = (df-1.)*np_log(x) + (-x*x*0.5) - (df*0.5-1)*np_log(2.0) \
          - sps_gammaln(df*0.5)
    return tmp