MGSurvE.kernels

Kernel functions and operations used for movement and traps attractivenesses.

Functions

exponentialAttractiveness(dist[, A, k, s, ...])	Calculates the probability of moving between points as a complex decaying exponential.
exponentialDecay(dist[, A, b])	Calculates the probability of moving between points as a decaying exponential.
exponentialKernel(distMat[, decay])	Calculates the migration matrix using a decaying exponential function.
inverseLinearStep(distance[, params])	Calculates the zero-inflated linear distance-based movement probability.
nSolveKernel(kernelDict, yVal[, guess, ...])	Calculates the distance it takes for the kernel to match a given probability (yVar).
sigmoidDecay(dist[, A, rate, x0])	Calculates the probability of moving between points as a sigmod.
truncatedExponential(distance[, params])	Calculates the zero-inflated exponential distance-based movement probability.
zeroInflatedExponentialKernel(distMat[, ...])	Calculates the migration matrix using a zero-inflated exponential function.
zeroInflatedLinearMigrationKernel(distMat[, ...])	Calculates the zero-inflated linear distance-based movement probability.