rtemis (version 0.79)

nlareg: rtemis internal: NonLinear Activation regression (NLAreg)

Description

rtemis internal: NonLinear Activation regression (NLAreg)

Usage

nlareg(x, y, b_o = mean(y), W_o = 1, b_h = 0, W_h = 0,
  activation = softplus, optim.method = "BFGS", control = list(),
  lower = -Inf, upper = Inf, ...)

Arguments

x

Numeric vector or matrix / data frame of features i.e. independent variables

y

Numeric vector of outcome, i.e. dependent variable

b_o

Float, vector (length y): Output bias. Defaults to mean(y)

W_o

Float: Output weight. Defaults to 1

b_h

Float: Hidden layer bias. Defaults to 0

W_h

Float, vector (length NCOL(x)): Hidden layer weights. Defaults to 0

activation

String or Function: Activation function to use: provide its name or the function itself. Default = linksoftplus

optim.method

String: Optimization method to use: "Nelder-Mead", "BFGS", "CG", "L-BFGS-B", "SANN", "Brent". See stats::optim for more details. Default = "BFGS"

...

Additional arguments

Value

nlareg object