Login Register

Log.deriv()

statsmodels.genmod.families.links.Log.deriv

Log.deriv(p) [source]

Derivative of log transform link function

Parameters:

p : array-like

Mean parameters

Returns:

g?(p) : array

derivative of log transform of x

Notes

g(x) = 1/x

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.genmod.families.links.Log.deriv.html

doc_statsmodels

2017-01-18 16:11:35

Comments

Leave a Comment

Please login to continue.

Popular Articles

Log.inverse_deriv() statsmodels.genmod.families.links.Log.inverse_deriv Log.inverse_deriv(z) [source] Derivative of the inverse of the log transform link function Par

Polynomial.deriv() Polynomial.deriv(m=1) [source] Differentiate. Return a series instance of that is the derivative of the current series. Parameters: m : non-nega

Logit.inverse_deriv() statsmodels.genmod.families.links.Logit.inverse_deriv Logit.inverse_deriv(z) [source] Derivative of the inverse of the logit transform Parameters:

Laguerre.deriv() Laguerre.deriv(m=1) [source] Differentiate. Return a series instance of that is the derivative of the current series. Parameters: m : non-negati

NegativeBinomial.deriv() statsmodels.genmod.families.links.NegativeBinomial.deriv NegativeBinomial.deriv(p) [source] Derivative of the negative binomial transform Paramete