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mboost specifications

Information


Unique identifier OMICS_15707
Name mboost
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 2.9-1
Stability Stable
Requirements
methods, stats, RColorBrewer, parallel, graphics, Matrix, splines, utils, grDevices, lattice, MASS, fields, survival, quadprog, R(≥3.2.0), nnet, randomforest, nnls, mlbench, stabs(≥0.5-0), partykit(≥1.2-1), TH.data, BayesX, gbm, rpart(≥4.0-3), testthat(≥0.10.0), kangar00
Maintained Yes

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Documentation


Maintainer


  • person_outline Benjamin Hofner <>

Publication for mboost

mboost in publications

 (25)
PMCID: 5896915
PMID: 29649224
DOI: 10.1371/journal.pone.0194929

[…] computing environment was used for all analyses []. the r package mgcv was used for fitting the gams with penalised regression splines []. gradient boosting was performed using the r package mboost []., in the full time-series (1990-2015) there was a clear seasonal cycle of asthma emergency department presentations with four peaks that were centred in late february, june, august […]

PMCID: 5577694
PMID: 28854966
DOI: 10.1186/s40001-017-0270-0

[…] r 2 statistic on validation datasets., calculations were carried out using the r system for statistical computing (version 3.0.1; r core team, vienna, austria, 2013). particularly, the r packages mboost (version 2.2-3), randomforest (version 4.6-7) and glmnet (version 1.9-5) were used to fit boosting, random forest and lasso models., a total of 1334 patients were included in the analysis. […]

PMCID: 5558647
PMID: 28831290
DOI: 10.1155/2017/6083072

[…] is spanned by the base-learners. the algorithm effectively optimizes the loss function step by step, eventually converging to the minimum., gradient boosting is implemented in the add-on package mboost [] for the open source programming environment r [], providing a large number of preimplemented loss functions for various regression settings, as well as different base-learners to represent […]

PMCID: 5556617
PMID: 28835769
DOI: 10.1155/2017/7907163

[…] [] is used to roll out the experiments on a high performance computing cluster. for the classification and filter methods, we additionally rely on the r packages fmrmr [], kernlab [], liblinear [], mboost [], ranger [], and rocr []., we compare the measures of stability empirically on the data set ap_colon_kidney. for the two other data sets, we have obtained very similar results which lead […]

PMCID: 5537351
PMID: 28761059
DOI: 10.1038/s41598-017-07197-6

[…] tussock and shrub tussock had the highest agb, and desert steppe had the lowest. rainfall higher than 400 m might have benefitted the grassland agb. compared with those obtained for the bagging, mboost and the support vector machine (svm) models, higher values for the mean pearson coefficient (r) and the symmetric index of agreement (λ) were obtained for the rf model, indicating that this rf […]


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mboost institution(s)
Institut für Medizininformatik, Biometrie und Epidemiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Seminar für Statistik, ETH Zürich, Zürich, Switzerland
mboost funding source(s)
This work was supported by Deutsche Forschungsgemeinschaft (DFG) under grant HO3242/1-1.

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