27 lines
1.2 KiB
Plaintext
27 lines
1.2 KiB
Plaintext
Software and datasets to support 'Modern Applied Statistics with S',
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fourth edition, by W. N. Venables and B. D. Ripley.
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Springer, 2002, ISBN 0-387-95457-0.
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This file documents software changes since the third edition.
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- no copying of datasets even in R.
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- model.frame method for multinom (even in R).
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- nnet now uses the C interface to optim.
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- nnet.Hess has been renamed nnetHess.
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- vcov.multinom now computes the Hessian analytically (thanks to David Firth).
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- predict methods for multinom, nnet now check newdata types
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- model.frame.multinom now looks for the environment of the original formula
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- multinom has a new `model' argument defaulting to TRUE.
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- the multinom methods for add1, dropterm and anova now check
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for changes in the number of cases in use caused e.g. by na.action=na.omit.
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- added confint() method for multinom.
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- added logLik() method for multinom.
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- summary() for multinom now defaults to correlation=FALSE.
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- nnet() reports on 'convergence'.
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- confint.multinom() works better with a non-default 'parm'.
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- multinom() and nnet(softmax=TRUE) give an explicit error message for
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one-category responses.
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- the loglik() method for multinom() returns an "nobs" attribute.
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- vcov() on a "multinom" object works for fits with na.action = "na.exclude".
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