Mid-Domain Effect and Species Richness Estimates
Generates expected values of species richness, with continuous or
scattered ranges, for data across one or two dimensions.

Mid-Domain Effect and Species Richness Patterns

Marvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb]
A fast implementation of Random Forests, particularly suited for high
dimensional data. Ensembles of classification, regression, survival and
probability prediction trees are supported. Data from genome-wide association
studies can be analyzed efficiently. In addition to data frames, datasets of
class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix')
can be directly analyzed.

A fast implementation of Random Forests, particularly suited for high
dimensional data. Ensembles of classification, regression, survival and
probability prediction trees are supported. Data from genome-wide
association studies can be analyzed efficiently. In addition to data
frames, datasets of class 'gwaa.data' (R package GenABEL) can be directly
analyzed.

A fast implementation of Random Forests, particularly suited for high dimensional data.
Ensembles of classification, regression, survival and probability prediction trees are
supported. Data from genome-wide association studies can be analyzed efficiently. In addition to
data frames, datasets of class 'gwaa.data' (R package GenABEL) can be directly analyzed.

A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles
of classification, regression, survival and probability prediction trees are supported. Data from
genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets
of class 'gwaa.data' (R package 'GenABEL') can be directly analyzed.

A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of
classification, regression, survival and probability prediction trees are supported. Data from
genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of
class 'gwaa.data' (R package 'GenABEL') can be directly analyzed.