R Graphical Manual

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Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
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Data Type

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Functions
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Classification

Results 182501 - 182510 of 182600 found.
[1] < 18246 18247 18248 18249 18250 18251 18252 18253 18254 18255 18256 > [18260] Sort:

H.als.b (Package: widals) :

Adaptive Least Squares expecially for large spacio-temporal data

● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: H.als.b
● 0 images

dlog.norm (Package: widals) :

Local hyperparameter exponentiated-normal search function

● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: dlog.norm
● 0 images

unload.Hst.ls (Package: widals) :

Convert a spacio-temporal covariate into contemporaneous data

● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: unload.Hst.ls
● 0 images

fun.load (Package: widals) :

Functions that assign values and functions needed by MSS.snow

● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: fun.load, fun.load.hals.a, fun.load.hals.fill, fun.load.widals.a, fun.load.widals.fill
● 0 images

Hals.fastcv.snow (Package: widals) :

Fit Adaptive Least Squares with k-fold cross-validation

● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: Hals.fastcv.snow
● 0 images

applystnd.Hst.ls (Package: widals) :

Standardize spacio-temporal covariates with respect to both the space and time dimensions

● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: applystnd.Hst.ls
● 0 images

subsetsites.Hst.ls (Package: widals) :

Extract space-time covariates by site

● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: subsetsites.Hst.ls
● 0 images

print.widenet (Package: widenet) :

This function just calls print(summary(x)). See summary.widenet.

● Data Source: CranContrib
● Keywords:
● Alias: print.widenet
● 0 images

summary.widenet (Package: widenet) :

Print summaries of widenet objects.

● Data Source: CranContrib
● Keywords:
● Alias: print.summary.widenet, summary.widenet
● 0 images

predict.widenet (Package: widenet) :

Similar to other predict methods, this functions predicts fitted values, logits, coefficients and more from a fitted "widenet" object.

● Data Source: CranContrib
● Keywords:
● Alias: predict.widenet
● 0 images