R Graphical Manual

Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 6 of 6 found.
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which.is.max (Package: nnet) :

Find the maximum position in a vector, breaking ties at random.

● Data Source: CranContrib
● Keywords: utilities
● Alias: which.is.max
● 0 images

multinom (Package: nnet) :

Fits multinomial log-linear models via neural networks.

● Data Source: CranContrib
● Keywords: models, neural
● Alias: add1.multinom, anova.multinom, coef.multinom, drop1.multinom, extractAIC.multinom, logLik.multinom, model.frame.multinom, multinom, predict.multinom, print.multinom, print.summary.multinom, summary.multinom, vcov.multinom
● 0 images

nnetHess (Package: nnet) :

Evaluates the Hessian (matrix of second derivatives) of the specified neural network. Normally called via argument Hess=TRUE to nnet or via vcov.multinom.

● Data Source: CranContrib
● Keywords: neural
● Alias: nnetHess
● 0 images

class.ind (Package: nnet) :

Generates a class indicator function from a given factor.

● Data Source: CranContrib
● Keywords: neural, utilities
● Alias: class.ind
● 0 images

predict.nnet (Package: nnet) :

Predict new examples by a trained neural net.

● Data Source: CranContrib
● Keywords: neural
● Alias: predict.nnet
● 0 images

nnet (Package: nnet) :

Fit single-hidden-layer neural network, possibly with skip-layer connections.

● Data Source: CranContrib
● Keywords: neural
● Alias: add.net, coef.nnet, eval.nn, nnet, nnet.default, nnet.formula, norm.net, print.nnet
● 0 images