eval_functions: Evaluate basis functions

In andreaskapou/BPRMeth-devel: Model higher-order methylation profiles

Description

Method for evaluating an M basis function model with observation data obs and coefficients w.

Usage

eval_probit_function(x, ...)

eval_function(x, ...)

## S3 method for class 'rbf'
eval_function(x, obs, w, ...)

## S3 method for class 'polynomial'
eval_function(x, obs, w, ...)

## S3 method for class 'fourier'
eval_function(x, obs, w, ...)

Arguments

x	The basis function object.
...	Optional additional parameters
obs	Observation data.
w	Vector of length M, containing the coefficients of an M^{th}-order basis function.

Value

The evaluated function values.

NOTE that the eval_probit_function computes the probit transformed basis function values.

Author(s)

C.A.Kapourani [e-mail]

See Also

create_basis

Examples

# Evaluate the probit transformed basis function values
x <- create_rbf_object(M=2)
obs <- c(1,2,3)
w <- c(0.1, 0.3, -0.6)
out <- eval_probit_function(x, obs, w)

# -------------------------

# Evaluate the RBF basis function values
x <- create_rbf_object(M=2, mus = c(2,2.5))
obs <- c(1,2,3)
w <- c(0.1, 0.3, -0.6)
out <- eval_function(x, obs, w)

# -------------------------

# Evaluate the Polynomial basis function values
x <- create_polynomial_object(M=2)
obs <- c(1,2,3)
w <- c(0.1, 0.3, -0.6)
out <- eval_function(x, obs, w)

andreaskapou/BPRMeth-devel documentation built on May 12, 2019, 3:32 a.m.