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fastglmm
Massively scalable generalized linear mixed models
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#include <ModelFit.h>
Public Member Functions | |
| ModelFitGLM () | |
| ModelFitGLM (ModelFit &gmf, const string &family, const int &niter) | |
| Public Member Functions inherited from fastglmmLib::ModelFit | |
| ModelFit () | |
| ModelFit (const bool &success, const vec &coef) | |
| ModelFit (const bool &success, const vec &coef, const vec &se, const double &dispersion, const double &rdf) | |
| ModelFit (const bool &success, const double &coef, const double &se, const double &dispersion, const double &rdf) | |
| ModelFit (const bool &success, const vec &coef, const vec &se, const double &dispersion, const double &rdf, const mat &vcov) | |
| ModelFit (const bool &success, const vec &coef, const vec &se, const double &dispersion, const double &rdf, const mat &vcov, const vec &residuals) | |
| ModelFit (const bool &success, const vec &coef, const vec &se, const double &dispersion, const double &rdf, const mat &vcov, const vec &residuals, const vec &hatvalues) | |
| void | setDevResids (const vec &dr, const vec &y, const vec &mu, const vec w={}) |
| void | setFittedValues (const vec &mu_in, const vec w={}) |
Public Attributes | |
| string | family = "" |
| double | theta = datum::nan |
| double | mu_mean = datum::nan |
| double | y_mean = datum::nan |
| int | niter = 0 |
| double | nZeroPrediction = 0 |
| Public Attributes inherited from fastglmmLib::ModelFit | |
| bool | success |
| vec | coef |
| vec | se |
| double | dispersion = datum::nan |
| double | rdf = datum::nan |
| string | ID |
| mat | vcov |
| vec | residuals |
| vec | hatvalues |
| vec | mu |
| vec | devianceResiduals |
| double | varFitted = datum::nan |
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inline |
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inline |
| string fastglmmLib::ModelFitGLM::family = "" |
| double fastglmmLib::ModelFitGLM::mu_mean = datum::nan |
| int fastglmmLib::ModelFitGLM::niter = 0 |
| double fastglmmLib::ModelFitGLM::nZeroPrediction = 0 |
| double fastglmmLib::ModelFitGLM::theta = datum::nan |
| double fastglmmLib::ModelFitGLM::y_mean = datum::nan |