cheshire-likelihood/cheshire.likelihood/Partition

Partition

trait Partition[F[_], R]
Companion:
object
class Object
trait Matchable
class Any

Type members

Types

type Clv = NodeClv | TipClv
type Matrix
type Model
type NodeClv
type Partial = Ppv | Clv
type Ppv
type TipClv

Value members

Abstract methods

def backcast(y: Clv, P: Matrix): F[NodeClv]
def backcastProduct(y: Clv, Py: Matrix, z: Clv, Pz: Matrix): F[NodeClv]
def categoryCount: Int
def edgeLikelihood(model: Model, ppv: Ppv, clv: Clv)(t: R): F[LikelihoodEvaluation[F, R]]
def forecast(x: Ppv, P: Matrix): F[Ppv]
def integrateProduct(x: Ppv, y: Clv): F[R]
def matrix(model: Model, t: R): F[Matrix]
def model(freqs: IndexedSeq[R], params: IndexedSeq[R], rate: R, alpha: R): F[Model]
def nodeLikelihood(model: Model, ppv: Ppv, parentHeight: R, leftClv: Clv, leftHeight: R, rightClv: Clv, rightHeight: R)(t: R): F[LikelihoodEvaluation[F, R]]
@targetName("ppvProduct")
def product(x: Ppv, y: Clv): F[Ppv]
@targetName("clvProduct")
def product(x: Clv, y: Clv): F[NodeClv]
def rates(model: Model): F[IndexedSeq[R]]
def seed(model: Model): F[Ppv]
def seedAndIntegrate(model: Model, x: Clv): F[R]
def tips: IndexedSeq[TipClv]