glm

type Config struct {

	// A logger to which logging information is wreitten
	Log *log.Logger

	// FitMethod is the numerical approach for fitting the model.  Allowed
	// values include IRLS, gradient, and coordinate.
	FitMethod string

	// ConcurrentIRLS is the number of concurrent goroutines used in IRLS
	// fitting.
	ConcurrentIRLS int

	// Start contains starting values for the regression parameter estimates
	Start []float64

	// WeightVar is the name of the variable for frequency-weighting the cases, if an empty
	// string, all weights are equal to 1.
	WeightVar string

	// OffsetVar is the name of a variable providing an offset
	OffsetVar string

	// Family defines a GLMfamily.
	Family *Family

	// Link defines a GLM link function; if not provided the default link for the family is used.
	Link *Link

	// VarFunc defines how the variance relates to the mean; if not provided, the default
	// variance function for the family is used.
	VarFunc *Variance

	// L1Penalty gives the level of penalization for each variable, by name
	L1Penalty map[string]float64

	// L2Penalty gives the level of penalization for each variable, by name
	L2Penalty map[string]float64

	// DispersionForm determines how the dispersion parameter is handled
	DispersionForm DispersionForm
}

type DevianceFunc func([]statmodel.Dtype, []float64, []statmodel.Dtype, float64) float64

type DispersionForm uint8

type Family struct {

	// The name of the family
	Name string

	// The numeric code for the family
	TypeCode FamilyType

	// The log-likelihood function for the family
	LogLike LogLikeFunc

	// The deviance function for the family
	Deviance DevianceFunc
	// contains filtered or unexported fields
}

type FamilyType uint8

type GLM struct {
	// contains filtered or unexported fields
}

type GLMParams struct {
	// contains filtered or unexported fields
}

type GLMResults struct {
	statmodel.BaseResults
	// contains filtered or unexported fields
}

type GLMSummary struct {
	// contains filtered or unexported fields
}

type Link struct {
	Name string

	TypeCode LinkType

	// Link calculates the link function (usually mapping the mean
	// value to the linear predictor).
	Link VecFunc

	// InvLink calculates the inverse of the link function
	// (usually mapping the linear predictor to the mean value).
	InvLink VecFunc

	// Deriv calculates the derivative of the link function.
	Deriv VecFunc

	// Deriv2 calculates the second derivative of the link function.
	Deriv2 VecFunc
}

type LinkType uint8

type LogLikeFunc func([]statmodel.Dtype, []float64, []statmodel.Dtype, float64, bool) float64

type NegBinomProfiler struct {

	// A sequence of (dispersion, log-likelihood) values that lie on
	// the profile curve.
	Profile [][2]float64
	// contains filtered or unexported fields
}

type ScaleProfiler struct {

	// A sequence of (scale, log-likelihood) values that lie on
	// the profile curve.
	Profile [][2]float64
	// contains filtered or unexported fields
}

type TweedieProfiler struct {
	// contains filtered or unexported fields
}

type Variance struct {
	Name  string
	Var   VecFunc
	Deriv VecFunc
}

type VarianceType uint8

type VecFunc func([]float64, []float64)