Login Register

PoissonOffsetGMLE.score_obs()

statsmodels.miscmodels.count.PoissonOffsetGMLE.score_obs

PoissonOffsetGMLE.score_obs(params, **kwds): Jacobian/Gradient of log-likelihood evaluated at params for each observation.

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.score_obs.html

doc_statsmodels

2017-01-18 16:14:09

Comments

Leave a Comment

Please login to continue.

Popular Articles

PoissonOffsetGMLE.score() statsmodels.miscmodels.count.PoissonOffsetGMLE.score PoissonOffsetGMLE.score(params) Gradient of log-likelihood evaluated at params

Poisson.score_obs() statsmodels.discrete.discrete_model.Poisson.score_obs Poisson.score_obs(params) [source] Poisson model Jacobian of the log-likelihood for each obs

Logit.score_obs() statsmodels.discrete.discrete_model.Logit.score_obs Logit.score_obs(params) [source] Logit model Jacobian of the log-likelihood for each observati

GLM.score_obs() statsmodels.genmod.generalized_linear_model.GLM.score_obs GLM.score_obs(params, scale=None) [source] score first derivative of the loglikelihood f

PoissonZiGMLE.score_obs() statsmodels.miscmodels.count.PoissonZiGMLE.score_obs PoissonZiGMLE.score_obs(params, **kwds) Jacobian/Gradient of log-likelihood evaluated at para