importance() is now a true S3 generic rather than an
alias-style front end.partial.ivarpro() has been replaced by
plot.ivarpro().importance(),
predict(), and plot().importance() methods for
"varpro" and "uvarpro" objects.plot() methods for "ivarpro"
and "partialpro" objects.predict() methods
through standard S3 dispatch for "varpro",
"uvarpro", "ivarpro", and
"isopro" objects.plot.ivarpro, plot.partialpro,
predict.ivarpro, predict.varpro,
predict.uvarpro, and predict.isopro so that
method pages remain easy to find in the reference manual and via
?topic.\method{plot}{ivarpro}(x, ...)
and \method{predict}{ivarpro}(object, ...).plot(x, ...), predict(object, ...), and
importance(object).data for
the original feature matrix and documents target explicitly
for multivariate and multiclass outputs.partial.ivarpro(iv, var = ...) with
plot(iv, var = ...).importance(fit) over direct calls to
importance.varpro(fit).predict(fit, ...) over direct calls to
predict.class(fit, ...).varpro.strength() to reduce R-side
post-processing overhead after the native varProStrength
call, improving performance on large forests and large membership
reconstructions.varpro.strength(..., membership = TRUE) for very large
analyses.varpro.strength() now uses the
integrated hazard exposure values stored on the fitted object
(int.haz.oob) as the default working response when
available.cumsum() followed by a downstream missing-value error in
membership reconstruction.varpro() function.ivarPro.mclapply() with PSOCK-based
parallel execution, improving Windows compatibility.
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