R Graphical Manual

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Last data update: 2014.03.03

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Results 81 - 90 of 11200 found.
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mfx : Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs

Package: mfx
Type: Package
Title: Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs
Version: 1.1
Date: 2013-12-12
Author: Alan Fernihough
Maintainer: Alan Fernihough <alan.fernihough@gmail.com>
Description: Estimates probit, logit, Poisson, negative binomial, and beta regression models, returning their marginal effects, odds ratios, or incidence rate ratios as an output.
License: GPL-2 | GPL-3
Depends: stats, sandwich, lmtest, MASS, betareg
Packaged: 2014-01-07 22:10:58 UTC; Alan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-19 20:45:05

● Data Source: CranContrib
● Cran Task View: Econometrics
● 0 images, 9 functions, 0 datasets
● Reverse Depends: 0

mgarchBEKK : Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR) Processes

Package: mgarchBEKK
Title: Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR)
Processes
Version: 0.0.2
Authors@R: c(
person("Harald", "Schmidbauer", email="harald@hs-stat.com", role=c("aut")),
person("Angi", "Roesch", email="angi@angi-stat.com", role=c("aut")),
person("Vehbi Sinan", "Tunalioglu", email="vst@vsthost.com", role=c("cre", "aut")))
Description: Procedures to simulate, estimate and diagnose MGARCH
processes of BEKK and multivariate GJR (bivariate asymmetric GARCH
model) specification.
Depends: R (>= 3.2.3), tseries, mvtnorm
Suggests: testthat, devtools, roxygen2
License: GPL-3
LazyData: true
URL: https://github.com/vst/mgarchBEKK/
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-04-09 11:04:18 UTC; vst
Author: Harald Schmidbauer [aut],
Angi Roesch [aut],
Vehbi Sinan Tunalioglu [cre, aut]
Maintainer: Vehbi Sinan Tunalioglu <vst@vsthost.com>
Repository: CRAN
Date/Publication: 2016-04-10 00:49:46

● Data Source: CranContrib
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0

mgcv : Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness Estimation

Package: mgcv
Version: 1.8-12
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>
Title: Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness
Estimation
Description: GAMs, GAMMs and other generalized ridge regression with
multiple smoothing parameter estimation by GCV, REML or UBRE/AIC.
Includes a gam() function, a wide variety of smoothers, JAGS
support and distributions beyond the exponential family.
Priority: recommended
Depends: R (>= 2.14.0), nlme (>= 3.1-64)
Imports: methods, stats, graphics, Matrix
Suggests: splines, parallel, survival, MASS
LazyLoad: yes
ByteCompile: yes
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2016-03-02 18:21:25 UTC; sw283
Repository: CRAN
Date/Publication: 2016-03-03 07:57:37

● Data Source: CranContrib
● Cran Task View: Bayesian, Econometrics
● 0 images, 121 functions, 0 datasets
● Reverse Depends: 39

mglmn : Model Averaging for Multivariate GLM with Null Models

Package: mglmn
Type: Package
Title: Model Averaging for Multivariate GLM with Null Models
Version: 0.0.2
Date: 2015-05-11
Author: Masatoshi Katabuchi and Akihiro Nakamura
Maintainer: Masatoshi Katabuchi <mattocci27@gmail.com>
Depends: R (>= 2.10), mvabund, snowfall
Description: Tools for univariate and multivariate generalized linear models with model averaging and null model technique.
License: GPL-2
Repository: CRAN
NeedsCompilation: no
Packaged: 2015-05-11 15:33:27 UTC; mattocci27
Date/Publication: 2015-05-11 18:42:41

● Data Source: CranContrib
● 0 images, 7 functions, 1 datasets
● Reverse Depends: 0

mgm : Estimating Time-Varying Mixed Graphical Models

Package: mgm
Type: Package
Title: Estimating Time-Varying Mixed Graphical Models
Version: 1.1-6
Date: 2016-06-15
Author: Jonas Haslbeck
Maintainer: Jonas Haslbeck <jonashaslbeck@gmail.com>
Description: Estimation of time-varying Mixed Graphical model using L1-regularized neighborhood regression.
URL: http://arxiv.org/abs/1510.06871v2
BugReports: https://github.com/jmbh/mgm/issues
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.4), matrixcalc, glmnet
LinkingTo: Rcpp
LazyData: true
Packaged: 2016-06-15 20:35:21 UTC; jmb
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-06-16 05:47:18

● Data Source: CranContrib
● 0 images, 12 functions, 1 datasets
● Reverse Depends: 0

mgpd : mgpd: Functions for multivariate generalized Pareto distribution (MGPD of Type II)

Package: mgpd
Type: Package
Title: mgpd: Functions for multivariate generalized Pareto distribution
(MGPD of Type II)
Version: 1.99
Date: 2012-03-15
Author: Pal Rakonczai
Maintainer: Pal Rakonczai <rakonczai.p@gmail.com>
Depends: R (>= 2.10.1), evd, numDeriv, corpcor, fields
Description: Extends distribution and density functions to parametric
multivariate generalized Pareto distributions (MGPD of Type
II), and provides fitting functions which calculate maximum
likelihood estimates for bivariate and trivariate models. (Help
is under progress)
License: GPL-3
Packaged: 2012-03-19 17:13:26 UTC; Irgumburgum
Repository: CRAN
Date/Publication: 2012-03-19 17:35:21

● Data Source: CranContrib
● Cran Task View: Distributions
● 0 images, 93 functions, 1 datasets
● Reverse Depends: 0

mgraph : Graphing map attributes and non-map variables in R

Package: mgraph
Type: Package
Title: Graphing map attributes and non-map variables in R
Version: 1.03
Date: 2013-04-20
Author: George Owusu <owusugeorge@ug.edu.gh>
Maintainer: George Owusu <owusugeorge@ug.edu.gh>
Depends: rgdal (>= 0.5.2)
Suggests: gstat, MASS
Description: Each function in the package performs three main functions
i) it reads spatial data and produces basic graphs including
pie chart, bar chart, box plots, histogram, scatter plots, and
lines ii)it reads non-spatial data such as "csv", "txt", "dat"
data and produces basic graphs and iii) it plots map(s) of the
input attribute(s) of spatial data by setting "type" parameter
to "map"
URL: http://www.ug.edu.gh/index1.php?linkid=616&sectionid=919&page=2
License: GPL (>= 2.0)
Packaged: 2013-04-20 21:18:17 UTC; george
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-04-21 07:39:54

● Data Source: CranContrib
● 0 images, 16 functions, 0 datasets
● Reverse Depends: 1

mhde : Minimum Hellinger Distance Test for Normality

Package: mhde
Type: Package
Title: Minimum Hellinger Distance Test for Normality
Version: 1.0-1
Date: 2015-10-21
Authors@R: c(person(c("Paul", "W."), "Eslinger", role = c("aut", "cre"), email="paul.w.eslinger@pnnl.gov"),
person("Heather", "Orr", role=c("aut", "ctb"), email="heather.orr@pnnl.gov"))
Author: Paul W. Eslinger [aut, cre],
Heather Orr [aut, ctb]
Maintainer: Paul W. Eslinger <paul.w.eslinger@pnnl.gov>
Description: Implementation of a goodness-of-fit test for normality using the Minimum Hellinger Distance.
License: GPL-2 | GPL-3
LazyData: TRUE
URL: "https://cran.r-project.org/package=mhde"
Imports: graphics, stats
NeedsCompilation: no
Packaged: 2015-10-22 21:19:30 UTC; D3M960
Repository: CRAN
Date/Publication: 2015-10-23 08:50:31

● Data Source: CranContrib
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0

mhsmm : Inference for Hidden Markov and Semi-Markov Models

Package: mhsmm
Type: Package
Title: Inference for Hidden Markov and Semi-Markov Models
Version: 0.4.14
Date: 2014-01-08
Author: Jared O'Connell <jaredoconnell@gmail.com>, Søren Højsgaard
<sorenh@math.aau.dk>
Maintainer: Jared O'Connell <jaredoconnell@gmail.com>
Description: Parameter estimation and prediction for hidden Markov and semi-Markov models for data with multiple observation sequences. Suitable for equidistant time series data, with multivariate and/or missing data. Allows user defined emission distributions.
License: GPL (>= 2)
LazyLoad: yes
Depends: mvtnorm
Repository: CRAN
Encoding: latin1
NeedsCompilation: yes
Packaged: 2014-12-22 00:22:48 UTC; jared
Date/Publication: 2014-12-22 10:37:39

● Data Source: CranContrib
● 0 images, 30 functions, 3 datasets
● Reverse Depends: 1

mht : Multiple Hypothesis Testing for Variable Selection in High-Dimensional Linear Models

Package: mht
Type: Package
Title: Multiple Hypothesis Testing for Variable Selection in
High-Dimensional Linear Models
Version: 3.1.2
Author: Florian Rohart
Maintainer: Florian Rohart <florian.rohart@gmail.com>
Description: Multiple Hypothesis Testing For Variable Selection in high dimensional linear models. This package performs variable selection with multiple hypothesis testing, either for ordered variable selection or non-ordered variable selection. In both cases, a sequential procedure is performed. It starts to test the null hypothesis "no variable is relevant"; if this hypothesis is rejected, it then tests "only the first variable is relevant", and so on until the null hypothesis is accepted.
License: GPL-3
Depends: glmnet, Matrix
Packaged: 2015-03-21 23:15:11 UTC; florian
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-23 07:33:03

● Data Source: CranContrib
● 0 images, 14 functions, 0 datasets
● Reverse Depends: 1