Title: R Binder for the Yhat API
Diff between yhatr versions 0.13.2 dated 2014-12-17 and 0.13.4 dated 2015-03-06
Description: Deploy, maintain, and invoke models via the Yhat
REST API.
Author: Greg Lamp
Maintainer: Greg Lamp
DESCRIPTION | 8 +++---
MD5 | 44 ++++++++++++++++++-------------------
NAMESPACE | 2 -
NEWS | 10 ++++++++
R/yhatR.R | 31 +++++++++++++++++++-------
man/capture.src.Rd | 3 +-
man/check.dependencies.Rd | 3 +-
man/check.image.size.Rd | 3 +-
man/yhat.deploy.Rd | 3 +-
man/yhat.deploy.to.file.Rd | 3 +-
man/yhat.deploy.with.scp.Rd | 3 +-
man/yhat.get.Rd | 3 +-
man/yhat.ls.Rd | 3 +-
man/yhat.post.Rd | 3 +-
man/yhat.predict.Rd | 3 +-
man/yhat.predict_raw.Rd | 3 +-
man/yhat.scaffolding.Rd | 3 +-
man/yhat.show_models.Rd | 3 +-
man/yhat.spider.block.Rd | 3 +-
man/yhat.spider.func.Rd | 3 +-
man/yhat.test_predict.Rd | 7 ++++-
man/yhat.transform_from_example.Rd | 3 +-
man/yhat.verify.Rd | 3 +-
23 files changed, 99 insertions(+), 54 deletions(-)
Title: Kernel Smoothing
Diff between ks versions 1.9.3 dated 2014-08-26 and 1.9.4 dated 2015-03-06
Description: Kernel smoothers for univariate and multivariate data.
Author: Tarn Duong
Maintainer: Tarn Duong
CHANGELOG | 6 ++
DESCRIPTION | 14 +++---
MD5 | 22 +++++-----
R/kda.R | 19 ++++++++
R/kdde.R | 13 +++---
R/kde.R | 2
R/normal.R | 98 +++++++++++++++++++++++----------------------
R/prelim.R | 10 ++--
R/selector.R | 113 ++++++++++++++++++++++++++++++++++++++++++++++++++++-
build/vignette.rds |binary
inst/doc/kde.pdf |binary
man/plot.kda.Rd | 2
12 files changed, 220 insertions(+), 79 deletions(-)
Title: Ordination Methods for the Analysis of Beta-Diversity Indices
Diff between recluster versions 2.7 dated 2014-12-17 and 2.8 dated 2015-03-06
Description: Beta-diversity indices provide dissimilarity matrices with particular distribution of data requiring specific treatment. For example the high frequency of ties and zero values in turnover indices produces hierarchical cluster dendrograms whose topology and bootstrap supports are affected by the order of rows in the original matrix. Moreover, biogeographical regionalization can be facilitated by a combination of hierarchical clustering and multi-dimensional scaling. The recluster package provides robust techniques to analyze pattern of similarity in species composition.
Author: Leonardo Dapporto, Matteo Ramazzotti, Simone Fattorini, Roger
Vila, Gerard Talavera, Roger H.L. Dennis
Maintainer: Leonardo Dapporto
DESCRIPTION | 8 +--
MD5 | 16 +++----
NAMESPACE | 2
R/recluster.col.R | 67 +++++++++++++++----------------
R/recluster.cons.R | 15 ++++--
R/recluster.region.R | 103 +++++++++++++++++++++++-------------------------
man/recluster.Rd | 7 +--
man/recluster.cons.Rd | 6 +-
man/recluster.region.Rd | 13 +++---
9 files changed, 120 insertions(+), 117 deletions(-)
Title: Symbolic Differentiation
Diff between Deriv versions 2.0 dated 2015-02-05 and 3.0 dated 2015-03-06
Description: R-based solution for symbolic differentiation. It admits
user-defined function as well as function substitution
in arguments of functions to be differentiated. Some symbolic
simplification is part of the work.
Author: Andrew Clausen [aut],
Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol
DESCRIPTION | 13
MD5 | 24 -
NEWS | 16 +
R/Deriv.R | 273 ++++++++++++++----
R/Simplify.R | 550 +++++++++++++++++++++++--------------
README.md | 21 +
man/Deriv-package.Rd | 18 -
man/Deriv.Rd | 93 ++++--
man/Simplify.Rd | 6
tests/testthat/test_Deriv.R | 107 ++++++-
tests/testthat/test_Deriv.R.bck | 106 ++++++-
tests/testthat/test_Simplify.R | 6
tests/testthat/test_Simplify.R.bck | 10
13 files changed, 899 insertions(+), 344 deletions(-)
Title: Variance Estimation for Sample Surveys by the Ultimate Cluster
Method
Diff between vardpoor versions 0.2.6 dated 2015-02-09 and 0.2.8 dated 2015-03-06
Description: Generation of domain variables, linearisation of several nonlinear population statistics (the ratio of two totals, weighted income percentile, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow, 1953), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y.G.). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks
DESCRIPTION | 8 ++++----
MD5 | 36 ++++++++++++++++++------------------
R/linqsr.R | 27 +++++++++++++--------------
R/vardom.R | 2 +-
R/vardomh.R | 43 +++++++++++++++++++++++--------------------
R/varpoord.R | 37 +++++++++++++++++++------------------
inst/CITATION | 4 ++--
inst/NEWS | 6 +++++-
man/linarpr.Rd | 18 +++++++++---------
man/linarpt.Rd | 12 ++++++------
man/lingini.Rd | 4 ++--
man/lingini2.Rd | 14 +++++++++-----
man/lingpg.Rd | 4 ++--
man/linpoormed.Rd | 8 ++++----
man/linqsr.Rd | 10 +++++-----
man/linrmpg.Rd | 6 +++---
man/var_srs.Rd | 2 +-
man/vardpoor-package.Rd | 14 +++++++-------
man/varpoord.Rd | 19 +++++++++++--------
19 files changed, 144 insertions(+), 130 deletions(-)
Title: Sensitivity Analysis
Diff between sensitivity versions 1.10.1 dated 2014-12-03 and 1.11 dated 2015-03-06
Description: A collection of functions for factor screening, global sensitivity analysis and reliability sensitivity analysis of model output.
Author: Gilles Pujol, Bertrand Iooss, Alexandre Janon with contributions from Sebastien Da Veiga, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Loic Le Gratiet, Paul Lemaitre, Bernardo Ramos, Taieb Touati
Maintainer: Bertrand Iooss
sensitivity-1.10.1/sensitivity/R/DMBRSI.R |only
sensitivity-1.10.1/sensitivity/man/DMBRSI.Rd |only
sensitivity-1.11/sensitivity/DESCRIPTION | 13 ++--
sensitivity-1.11/sensitivity/MD5 | 46 +++++++++-------
sensitivity-1.11/sensitivity/NAMESPACE | 17 +++++
sensitivity-1.11/sensitivity/R/PLI.R |only
sensitivity-1.11/sensitivity/R/delsa.R |only
sensitivity-1.11/sensitivity/R/parameterSets.R |only
sensitivity-1.11/sensitivity/R/sobolCert.R | 4 -
sensitivity-1.11/sensitivity/R/sobolMultOut.R |only
sensitivity-1.11/sensitivity/R/sobolTIIlo.R | 4 -
sensitivity-1.11/sensitivity/R/sobolTIIpf.R | 4 -
sensitivity-1.11/sensitivity/R/sobolmartinez.R |only
sensitivity-1.11/sensitivity/man/PLI.Rd |only
sensitivity-1.11/sensitivity/man/delsa.Rd |only
sensitivity-1.11/sensitivity/man/parameterSets.Rd |only
sensitivity-1.11/sensitivity/man/sensitivity-package.Rd | 23 +++++---
sensitivity-1.11/sensitivity/man/sobol.Rd | 2
sensitivity-1.11/sensitivity/man/sobol2002.Rd | 11 +++
sensitivity-1.11/sensitivity/man/sobol2007.Rd | 11 +++
sensitivity-1.11/sensitivity/man/sobolEff.Rd | 6 +-
sensitivity-1.11/sensitivity/man/sobolMultOut.Rd |only
sensitivity-1.11/sensitivity/man/sobolTIIlo.Rd | 2
sensitivity-1.11/sensitivity/man/soboljansen.Rd | 2
sensitivity-1.11/sensitivity/man/sobolmara.Rd | 2
sensitivity-1.11/sensitivity/man/sobolmartinez.Rd |only
sensitivity-1.11/sensitivity/man/sobolowen.Rd | 2
sensitivity-1.11/sensitivity/man/sobolroalhs.Rd | 3 +
sensitivity-1.11/sensitivity/src/Makevars | 5 +
sensitivity-1.11/sensitivity/src/as.cpp | 6 +-
30 files changed, 109 insertions(+), 54 deletions(-)
Title: General Frailty Models: Shared, Joint and Nested Frailty Models
with Prediction
Diff between frailtypack versions 2.7.4 dated 2015-02-25 and 2.7.5 dated 2015-03-06
Description: Frailtypack fits several classes of frailty models using a penalized likelihood
estimation on the hazard function but also a parametric estimation.
1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox
proportional hazard model. Clustered and recurrent survival times can be studied.
2) Additive frailty models for proportional hazard models with two correlated
random effects (intercept random effect with random slope).
3) Nested frailty models for hierarchically clustered data (with 2 levels of
clustering) by including two iid gamma random effects.
4) Joint frailty models in the context of joint modelling for recurrent events
with terminal event for clustered data or not.
Prediction values are available. Left-truncated (not for Joint model),
right-censored data, interval-censored data (only for Cox proportional hazard
and shared frailty model) and strata are allowed. In each model,
the random effects have a gamma distribution, but you can switch to a log-normal
in shared and joint models. Now, you can also consider time-varying covariates
effects in Cox, shared and joint models. The package includes concordance measures
for Cox proportional hazards models and for shared frailty models.
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey
Mauguen, Agnieszka Krol-Listwon, Amadou Diakite and Alexandre Laurent
Maintainer: Virginie Rondeau
DESCRIPTION | 8 ++++----
MD5 | 6 +++---
NEWS | 4 ++++
src/aresidusMartingale.f90 | 24 +++++++++++++++---------
4 files changed, 26 insertions(+), 16 deletions(-)
Title: Spatial Ecology Miscellaneous Methods
Diff between ecospat versions 1.0 dated 2014-07-23 and 1.1 dated 2015-03-06
Description: R package for the support of spatial analyses and modelling of species niches and distributions, written by current and former members and collaborators of the ecospat group of Antoine Guisan, Department of Ecology and Evolution (DEE) & Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Switzerland.
Author: Olivier Broennimann
Maintainer: Valeria Di Cola
ecospat-1.0/ecospat/inst/doc/Code-ecospat.pdf |only
ecospat-1.1/ecospat/DESCRIPTION | 24 +--
ecospat-1.1/ecospat/MD5 | 69 +++++-----
ecospat-1.1/ecospat/NAMESPACE | 2
ecospat-1.1/ecospat/R/ecospat.binary_models.R | 2
ecospat-1.1/ecospat/R/ecospat.boyce.R | 2
ecospat-1.1/ecospat/R/ecospat.constrainedCoOcc.R | 28 ++--
ecospat-1.1/ecospat/R/ecospat.cv.R | 21 +--
ecospat-1.1/ecospat/R/ecospat.makeDataFrame.R | 32 ++++
ecospat-1.1/ecospat/R/ecospat.migclim.R | 2
ecospat-1.1/ecospat/R/ecospat.nichedynamic.R | 76 ++++++-----
ecospat-1.1/ecospat/data/ecospat.testData.txt.gz |binary
ecospat-1.1/ecospat/inst/doc/ecospat.pdf |binary
ecospat-1.1/ecospat/man/ecospat-package.Rd | 22 +--
ecospat-1.1/ecospat/man/ecospat.Epred.Rd | 2
ecospat-1.1/ecospat/man/ecospat.SSDMeval.Rd | 8 -
ecospat-1.1/ecospat/man/ecospat.boyce.Rd | 4
ecospat-1.1/ecospat/man/ecospat.calculate.pd.Rd | 9 +
ecospat-1.1/ecospat/man/ecospat.caleval.Rd | 2
ecospat-1.1/ecospat/man/ecospat.co_occurrences.Rd | 1
ecospat-1.1/ecospat/man/ecospat.cons_Cscore.Rd | 8 -
ecospat-1.1/ecospat/man/ecospat.cv.example.Rd | 2
ecospat-1.1/ecospat/man/ecospat.cv.gam.Rd | 2
ecospat-1.1/ecospat/man/ecospat.cv.gbm.Rd | 2
ecospat-1.1/ecospat/man/ecospat.cv.glm.Rd | 2
ecospat-1.1/ecospat/man/ecospat.cv.me.Rd | 4
ecospat-1.1/ecospat/man/ecospat.cv.rf.Rd | 4
ecospat-1.1/ecospat/man/ecospat.grid.clim.dyn.Rd | 4
ecospat-1.1/ecospat/man/ecospat.makeDataFrame.Rd | 23 +--
ecospat-1.1/ecospat/man/ecospat.maxentvarimport.Rd | 2
ecospat-1.1/ecospat/man/ecospat.permut.glm.Rd | 2
ecospat-1.1/ecospat/man/ecospat.plot.niche.Rd | 2
ecospat-1.1/ecospat/man/ecospat.plot.niche.dyn.Rd | 2
ecospat-1.1/ecospat/man/ecospat.testData.Rd | 136 +++++++++++----------
ecospat-1.1/ecospat/man/ecospat.testNiche.Rd | 4
ecospat-1.1/ecospat/man/ecospat.varpart.Rd | 6
36 files changed, 276 insertions(+), 235 deletions(-)
Title: Seamless R and C++ Integration
Diff between Rcpp versions 0.11.4 dated 2015-01-24 and 0.11.5 dated 2015-03-06
Description: The Rcpp package provides R functions as well as C++ classes which
offer a seamless integration of R and C++. Many R data types and objects can be
mapped back and forth to C++ equivalents which facilitates both writing of new
code as well as easier integration of third-party libraries. Documentation
about Rcpp is provided by several vignettes included in this package, via the
Rcpp Gallery site at http://gallery.rcpp.org, the paper by Eddelbuettel and
Francois (2011, JSS), and the book by Eddelbuettel (2013, Springer); see
'citation("Rcpp")' for details on these last two.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey,
Douglas Bates, and John Chambers
Maintainer: Dirk Eddelbuettel
ChangeLog | 138 +++++++++
DESCRIPTION | 8
MD5 | 126 ++++----
R/Attributes.R | 43 ++
R/exceptions.R | 15
README.md | 13
TODO | 46 ---
build/Rcpp.pdf |binary
inst/NEWS.Rd | 496 ++++++++++++++++++---------------
inst/doc/Rcpp-FAQ.R | 36 +-
inst/doc/Rcpp-FAQ.Rnw | 2
inst/doc/Rcpp-FAQ.pdf |binary
inst/doc/Rcpp-attributes.R | 20 -
inst/doc/Rcpp-attributes.Rnw | 267 +++++++++++++++--
inst/doc/Rcpp-attributes.pdf |binary
inst/doc/Rcpp-extending.R | 10
inst/doc/Rcpp-extending.Rnw | 2
inst/doc/Rcpp-extending.pdf |binary
inst/doc/Rcpp-introduction.Rnw | 1
inst/doc/Rcpp-introduction.pdf |binary
inst/doc/Rcpp-modules.R | 46 +--
inst/doc/Rcpp-modules.Rnw | 1
inst/doc/Rcpp-modules.pdf |binary
inst/doc/Rcpp-package.Rnw | 13
inst/doc/Rcpp-package.pdf |binary
inst/doc/Rcpp-quickref.R | 2
inst/doc/Rcpp-quickref.Rnw | 1
inst/doc/Rcpp-quickref.pdf |binary
inst/doc/Rcpp-sugar.R | 4
inst/doc/Rcpp-sugar.Rnw | 1
inst/doc/Rcpp-sugar.pdf |binary
inst/doc/Rcpp-unitTests.R | 2
inst/doc/Rcpp-unitTests.Rnw | 1
inst/doc/Rcpp-unitTests.pdf |binary
inst/include/Rcpp/Environment.h | 9
inst/include/Rcpp/Function.h | 31 +-
inst/include/Rcpp/XPtr.h | 62 +++-
inst/include/Rcpp/api/meat/Rcpp_eval.h | 75 ++++
inst/include/Rcpp/config.h | 6
inst/include/Rcpp/exceptions.h | 55 +++
inst/include/Rcpp/print.h |only
inst/include/Rcpp/routines.h | 284 ++++++++++--------
inst/include/Rcpp/utils/tinyformat.h | 17 -
inst/include/Rcpp/vector/Subsetter.h | 17 -
inst/include/RcppCommon.h | 2
inst/unitTests/cpp/Environment.cpp | 8
inst/unitTests/cpp/Function.cpp | 11
inst/unitTests/cpp/XPtr.cpp | 21 +
inst/unitTests/cpp/attributes.cpp | 3
inst/unitTests/cpp/attributes.hpp |only
inst/unitTests/runit.Function.R | 21 +
inst/unitTests/runit.XPTr.R | 8
inst/unitTests/runit.environments.R | 5
src/Rcpp_init.cpp | 5
src/api.cpp | 14
src/attributes.cpp | 483 +++++++++++++++++++++++++++-----
vignettes/Rcpp-FAQ.Rnw | 2
vignettes/Rcpp-attributes.Rnw | 267 +++++++++++++++--
vignettes/Rcpp-extending.Rnw | 2
vignettes/Rcpp-introduction.Rnw | 1
vignettes/Rcpp-modules.Rnw | 1
vignettes/Rcpp-package.Rnw | 13
vignettes/Rcpp-quickref.Rnw | 1
vignettes/Rcpp-sugar.Rnw | 1
vignettes/Rcpp-unitTests.Rnw | 1
65 files changed, 1983 insertions(+), 737 deletions(-)
Title: Vector Generalized Linear and Additive Models
Diff between VGAM versions 0.9-6 dated 2014-12-08 and 0.9-7 dated 2015-03-06
Description: An implementation of about 6 major classes of
statistical regression models. At the heart of it are the
vector generalized linear and additive model (VGLM/VGAM)
classes. Many (150+) models and distributions are estimated
by maximum likelihood estimation (MLE) or penalized MLE, using
Fisher scoring. VGLMs can be loosely thought of as multivariate
GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The
other classes are RR-VGLMs (reduced-rank VGLMs), quadratic
RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction
models)---these classes perform constrained and unconstrained
quadratic ordination (CQO/UQO) models in ecology, as well
as constrained additive ordination (CAO). Note that these
functions are subject to change, especially before version
1.0.0 is released; see the NEWS file for latest changes.
Author: Thomas W. Yee
Maintainer: Thomas Yee
VGAM-0.9-6/VGAM/build |only
VGAM-0.9-6/VGAM/inst/doc |only
VGAM-0.9-6/VGAM/man/fsqrt.Rd |only
VGAM-0.9-6/VGAM/vignettes |only
VGAM-0.9-7/VGAM/DESCRIPTION | 8
VGAM-0.9-7/VGAM/MD5 | 415 ++++++-------
VGAM-0.9-7/VGAM/NAMESPACE | 43 +
VGAM-0.9-7/VGAM/NEWS | 52 +
VGAM-0.9-7/VGAM/R/Links.R | 2
VGAM-0.9-7/VGAM/R/aamethods.q | 2
VGAM-0.9-7/VGAM/R/add1.vglm.q | 2
VGAM-0.9-7/VGAM/R/attrassign.R | 2
VGAM-0.9-7/VGAM/R/bAIC.q | 233 +++++--
VGAM-0.9-7/VGAM/R/build.terms.vlm.q | 2
VGAM-0.9-7/VGAM/R/calibrate.q | 2
VGAM-0.9-7/VGAM/R/cao.R | 2
VGAM-0.9-7/VGAM/R/cao.fit.q | 4
VGAM-0.9-7/VGAM/R/coef.vlm.q | 2
VGAM-0.9-7/VGAM/R/cqo.R | 2
VGAM-0.9-7/VGAM/R/cqo.fit.q | 6
VGAM-0.9-7/VGAM/R/deviance.vlm.q | 2
VGAM-0.9-7/VGAM/R/effects.vglm.q | 2
VGAM-0.9-7/VGAM/R/family.actuary.R | 776 +++++++++++++++++++------
VGAM-0.9-7/VGAM/R/family.aunivariate.R | 336 +++++++++-
VGAM-0.9-7/VGAM/R/family.basics.R | 20
VGAM-0.9-7/VGAM/R/family.binomial.R | 119 ++-
VGAM-0.9-7/VGAM/R/family.bivariate.R | 26
VGAM-0.9-7/VGAM/R/family.categorical.R | 54 -
VGAM-0.9-7/VGAM/R/family.censored.R | 2
VGAM-0.9-7/VGAM/R/family.circular.R | 136 +++-
VGAM-0.9-7/VGAM/R/family.exp.R | 324 ++++++++--
VGAM-0.9-7/VGAM/R/family.extremes.R | 344 ++++++++---
VGAM-0.9-7/VGAM/R/family.functions.R | 2
VGAM-0.9-7/VGAM/R/family.genetic.R | 269 ++++----
VGAM-0.9-7/VGAM/R/family.glmgam.R | 118 ++-
VGAM-0.9-7/VGAM/R/family.loglin.R | 2
VGAM-0.9-7/VGAM/R/family.math.R | 2
VGAM-0.9-7/VGAM/R/family.mixture.R | 2
VGAM-0.9-7/VGAM/R/family.nonlinear.R | 14
VGAM-0.9-7/VGAM/R/family.normal.R | 315 ++++++----
VGAM-0.9-7/VGAM/R/family.others.R | 178 ++++-
VGAM-0.9-7/VGAM/R/family.positive.R | 66 +-
VGAM-0.9-7/VGAM/R/family.qreg.R | 505 ++++++++++++----
VGAM-0.9-7/VGAM/R/family.quantal.R | 4
VGAM-0.9-7/VGAM/R/family.rcim.R | 2
VGAM-0.9-7/VGAM/R/family.rcqo.R | 2
VGAM-0.9-7/VGAM/R/family.robust.R | 77 ++
VGAM-0.9-7/VGAM/R/family.rrr.R | 6
VGAM-0.9-7/VGAM/R/family.sur.R | 2
VGAM-0.9-7/VGAM/R/family.survival.R | 82 +-
VGAM-0.9-7/VGAM/R/family.ts.R | 10
VGAM-0.9-7/VGAM/R/family.univariate.R | 834 +++++++++++++++++----------
VGAM-0.9-7/VGAM/R/family.vglm.R | 2
VGAM-0.9-7/VGAM/R/family.zeroinf.R | 34 -
VGAM-0.9-7/VGAM/R/fittedvlm.R | 2
VGAM-0.9-7/VGAM/R/formula.vlm.q | 2
VGAM-0.9-7/VGAM/R/generic.q | 2
VGAM-0.9-7/VGAM/R/links.q | 73 ++
VGAM-0.9-7/VGAM/R/logLik.vlm.q | 2
VGAM-0.9-7/VGAM/R/lrwaldtest.R | 2
VGAM-0.9-7/VGAM/R/model.matrix.vglm.q | 6
VGAM-0.9-7/VGAM/R/mux.q | 2
VGAM-0.9-7/VGAM/R/nobs.R | 2
VGAM-0.9-7/VGAM/R/plot.vglm.q | 2
VGAM-0.9-7/VGAM/R/predict.vgam.q | 2
VGAM-0.9-7/VGAM/R/predict.vglm.q | 2
VGAM-0.9-7/VGAM/R/predict.vlm.q | 2
VGAM-0.9-7/VGAM/R/print.vglm.q | 2
VGAM-0.9-7/VGAM/R/print.vlm.q | 2
VGAM-0.9-7/VGAM/R/qrrvglm.control.q | 2
VGAM-0.9-7/VGAM/R/qtplot.q | 2
VGAM-0.9-7/VGAM/R/residuals.vlm.q | 2
VGAM-0.9-7/VGAM/R/rrvglm.R | 2
VGAM-0.9-7/VGAM/R/rrvglm.control.q | 2
VGAM-0.9-7/VGAM/R/rrvglm.fit.q | 6
VGAM-0.9-7/VGAM/R/s.q | 2
VGAM-0.9-7/VGAM/R/s.vam.q | 2
VGAM-0.9-7/VGAM/R/smart.R | 2
VGAM-0.9-7/VGAM/R/step.vglm.q | 2
VGAM-0.9-7/VGAM/R/summary.vgam.q | 2
VGAM-0.9-7/VGAM/R/summary.vglm.q | 2
VGAM-0.9-7/VGAM/R/summary.vlm.q | 2
VGAM-0.9-7/VGAM/R/vgam.R | 2
VGAM-0.9-7/VGAM/R/vgam.control.q | 2
VGAM-0.9-7/VGAM/R/vgam.fit.q | 6
VGAM-0.9-7/VGAM/R/vgam.match.q | 2
VGAM-0.9-7/VGAM/R/vglm.R | 2
VGAM-0.9-7/VGAM/R/vglm.control.q | 2
VGAM-0.9-7/VGAM/R/vglm.fit.q | 6
VGAM-0.9-7/VGAM/R/vlm.R | 4
VGAM-0.9-7/VGAM/R/vlm.wfit.q | 2
VGAM-0.9-7/VGAM/R/vsmooth.spline.q | 17
VGAM-0.9-7/VGAM/data/ducklings.rda |only
VGAM-0.9-7/VGAM/man/A1A2A3.Rd | 10
VGAM-0.9-7/VGAM/man/AA.Aa.aa.Rd | 11
VGAM-0.9-7/VGAM/man/ABO.Rd | 19
VGAM-0.9-7/VGAM/man/CommonVGAMffArguments.Rd | 25
VGAM-0.9-7/VGAM/man/Links.Rd | 5
VGAM-0.9-7/VGAM/man/ParetoUC.Rd | 12
VGAM-0.9-7/VGAM/man/QvarUC.Rd | 2
VGAM-0.9-7/VGAM/man/VGAM-package.Rd | 12
VGAM-0.9-7/VGAM/man/alaplaceUC.Rd | 14
VGAM-0.9-7/VGAM/man/benfUC.Rd | 11
VGAM-0.9-7/VGAM/man/beniniUC.Rd | 12
VGAM-0.9-7/VGAM/man/betabinomialff.Rd | 17
VGAM-0.9-7/VGAM/man/betaff.Rd | 10
VGAM-0.9-7/VGAM/man/betanormUC.Rd | 13
VGAM-0.9-7/VGAM/man/bilogistic.Rd | 5
VGAM-0.9-7/VGAM/man/binomialff.Rd | 23
VGAM-0.9-7/VGAM/man/bisa.Rd | 6
VGAM-0.9-7/VGAM/man/bisaUC.Rd | 12
VGAM-0.9-7/VGAM/man/cardUC.Rd | 13
VGAM-0.9-7/VGAM/man/cardioid.Rd | 6
VGAM-0.9-7/VGAM/man/cloglog.Rd | 6
VGAM-0.9-7/VGAM/man/cqo.Rd | 8
VGAM-0.9-7/VGAM/man/cumulative.Rd | 6
VGAM-0.9-7/VGAM/man/dagum.Rd | 16
VGAM-0.9-7/VGAM/man/dagumUC.Rd | 16
VGAM-0.9-7/VGAM/man/dirichlet.Rd | 5
VGAM-0.9-7/VGAM/man/dirmultinomial.Rd | 10
VGAM-0.9-7/VGAM/man/double.expbinomial.Rd | 8
VGAM-0.9-7/VGAM/man/ducklings.Rd |only
VGAM-0.9-7/VGAM/man/eexpUC.Rd | 13
VGAM-0.9-7/VGAM/man/enormUC.Rd | 15
VGAM-0.9-7/VGAM/man/eunifUC.Rd | 13
VGAM-0.9-7/VGAM/man/exppoissonUC.Rd | 42 -
VGAM-0.9-7/VGAM/man/felix.Rd | 2
VGAM-0.9-7/VGAM/man/fisk.Rd | 15
VGAM-0.9-7/VGAM/man/fiskUC.Rd | 20
VGAM-0.9-7/VGAM/man/foldnormUC.Rd | 18
VGAM-0.9-7/VGAM/man/foldsqrt.Rd |only
VGAM-0.9-7/VGAM/man/frechetUC.Rd | 14
VGAM-0.9-7/VGAM/man/genbetaII.Rd | 26
VGAM-0.9-7/VGAM/man/gengammaUC.Rd | 14
VGAM-0.9-7/VGAM/man/genpoisson.Rd | 2
VGAM-0.9-7/VGAM/man/genrayleighUC.Rd | 15
VGAM-0.9-7/VGAM/man/gev.Rd | 6
VGAM-0.9-7/VGAM/man/gevUC.Rd | 10
VGAM-0.9-7/VGAM/man/golf.Rd | 6
VGAM-0.9-7/VGAM/man/gompertz.Rd | 6
VGAM-0.9-7/VGAM/man/gompertzUC.Rd | 12
VGAM-0.9-7/VGAM/man/gpd.Rd | 4
VGAM-0.9-7/VGAM/man/gpdUC.Rd | 16
VGAM-0.9-7/VGAM/man/grc.Rd | 2
VGAM-0.9-7/VGAM/man/gumbelIIUC.Rd | 14
VGAM-0.9-7/VGAM/man/gumbelUC.Rd | 24
VGAM-0.9-7/VGAM/man/hormone.Rd | 3
VGAM-0.9-7/VGAM/man/hspider.Rd | 3
VGAM-0.9-7/VGAM/man/huberUC.Rd | 22
VGAM-0.9-7/VGAM/man/hypersecant.Rd | 6
VGAM-0.9-7/VGAM/man/hzetaUC.Rd | 10
VGAM-0.9-7/VGAM/man/inv.binomial.Rd | 2
VGAM-0.9-7/VGAM/man/inv.lomaxUC.Rd | 10
VGAM-0.9-7/VGAM/man/inv.paralogistic.Rd | 15
VGAM-0.9-7/VGAM/man/inv.paralogisticUC.Rd | 18
VGAM-0.9-7/VGAM/man/kumarUC.Rd | 11
VGAM-0.9-7/VGAM/man/laplaceUC.Rd | 12
VGAM-0.9-7/VGAM/man/lgammaUC.Rd | 16
VGAM-0.9-7/VGAM/man/lindUC.Rd | 10
VGAM-0.9-7/VGAM/man/linkfun.Rd |only
VGAM-0.9-7/VGAM/man/linkfun.vglm.Rd |only
VGAM-0.9-7/VGAM/man/linoUC.Rd | 12
VGAM-0.9-7/VGAM/man/logit.Rd | 20
VGAM-0.9-7/VGAM/man/loglapUC.Rd | 12
VGAM-0.9-7/VGAM/man/lomaxUC.Rd | 12
VGAM-0.9-7/VGAM/man/makeham.Rd | 6
VGAM-0.9-7/VGAM/man/makehamUC.Rd | 13
VGAM-0.9-7/VGAM/man/maxwellUC.Rd | 12
VGAM-0.9-7/VGAM/man/nakagamiUC.Rd | 10
VGAM-0.9-7/VGAM/man/nbcanlink.Rd | 3
VGAM-0.9-7/VGAM/man/nbolf.Rd | 2
VGAM-0.9-7/VGAM/man/negbinomial.Rd | 214 ++++--
VGAM-0.9-7/VGAM/man/notdocumentedyet.Rd | 11
VGAM-0.9-7/VGAM/man/nparamvglm.Rd |only
VGAM-0.9-7/VGAM/man/olym.Rd | 14
VGAM-0.9-7/VGAM/man/paralogistic.Rd | 15
VGAM-0.9-7/VGAM/man/paralogisticUC.Rd | 21
VGAM-0.9-7/VGAM/man/paretoIVUC.Rd | 32 -
VGAM-0.9-7/VGAM/man/perks.Rd | 6
VGAM-0.9-7/VGAM/man/perksUC.Rd | 13
VGAM-0.9-7/VGAM/man/polf.Rd | 2
VGAM-0.9-7/VGAM/man/posbernoulli.t.Rd | 7
VGAM-0.9-7/VGAM/man/posbinomUC.Rd | 2
VGAM-0.9-7/VGAM/man/posbinomial.Rd | 8
VGAM-0.9-7/VGAM/man/posnormUC.Rd | 17
VGAM-0.9-7/VGAM/man/quasibinomialff.Rd | 43 -
VGAM-0.9-7/VGAM/man/rayleighUC.Rd | 12
VGAM-0.9-7/VGAM/man/riceUC.Rd | 12
VGAM-0.9-7/VGAM/man/riceff.Rd | 6
VGAM-0.9-7/VGAM/man/rrvglm.Rd | 9
VGAM-0.9-7/VGAM/man/rrvglm.control.Rd | 2
VGAM-0.9-7/VGAM/man/sc.t2UC.Rd | 12
VGAM-0.9-7/VGAM/man/sinmad.Rd | 25
VGAM-0.9-7/VGAM/man/sinmadUC.Rd | 20
VGAM-0.9-7/VGAM/man/slashUC.Rd | 9
VGAM-0.9-7/VGAM/man/tikuvUC.Rd | 12
VGAM-0.9-7/VGAM/man/tobitUC.Rd | 54 +
VGAM-0.9-7/VGAM/man/triangle.Rd | 8
VGAM-0.9-7/VGAM/man/triangleUC.Rd | 12
VGAM-0.9-7/VGAM/man/truncparetoUC.Rd | 18
VGAM-0.9-7/VGAM/man/undocumented-methods.Rd | 18
VGAM-0.9-7/VGAM/man/vgam.Rd | 8
VGAM-0.9-7/VGAM/man/vglm.Rd | 1
VGAM-0.9-7/VGAM/man/vonmises.Rd | 2
VGAM-0.9-7/VGAM/man/vsmooth.spline.Rd | 20
VGAM-0.9-7/VGAM/man/weibullR.Rd | 4
VGAM-0.9-7/VGAM/man/yulesimonUC.Rd | 8
VGAM-0.9-7/VGAM/man/zanegbinomial.Rd | 3
VGAM-0.9-7/VGAM/man/zapoisson.Rd | 3
VGAM-0.9-7/VGAM/man/zibinomial.Rd | 17
VGAM-0.9-7/VGAM/man/zipfUC.Rd | 7
VGAM-0.9-7/VGAM/man/zipoisson.Rd | 3
212 files changed, 5000 insertions(+), 2200 deletions(-)
Title: Microsoft Word, Microsoft Powerpoint and HTML Documents
Generation
Diff between ReporteRs versions 0.7.7 dated 2015-03-05 and 0.7.8 dated 2015-03-06
Description: Create Microsoft Word document (>=2007),
Microsoft Powerpoint document (>=2007) and HTML documents from R. There are
several features to let you format and present R outputs ; e.g. Editable
Vector Graphics, functions for complex tables reporting, reuse of corporate
template document (*.docx and *.pptx). You can use the package as a tool
for fast reporting and as a tool for reporting automation. The package does
not require any installation of Microsoft product to be able to write
Microsoft files (docx and pptx).
Author: David Gohel [aut, cre],
Bootstrap [ctb, cph] (Bootstrap development team),
jQuery [ctb, cph] (The jQuery Foundation),
Dmitry Baranovskiy [ctb, cph] (raphael javascript
libraries)
Maintainer: David Gohel
DESCRIPTION | 8 ++++----
MD5 | 14 +++++++-------
R/ReporteRs.R | 4 ++--
R/drawingML.R | 11 ++++++++---
R/textProperties.R | 8 +++-----
man/ReporteRs-package.Rd | 4 ++--
man/chprop.textProperties.Rd | 2 ++
man/textProperties.Rd | 3 +--
8 files changed, 29 insertions(+), 25 deletions(-)
Title: Statistical Inference for Parametric and Semiparametric Models
Based on Dependently Truncated Data
Diff between depend.truncation versions 2.1 dated 2014-03-08 and 2.2 dated 2015-03-06
More information about depend.truncation at CRAN
Description: Suppose that one can observe bivariate random variables (X, Y) only when X<=Y holds. Data (X_j, Y_j), subject to X_j<=Y_j, for all j=1,...,n, are called truncated data. Parametric approach (Emura & Konno 2012 Stat Papers), semiparametric approach (Chaieb et al. 2006 Biometrika; Emura et al. 2011 Sinica), and the nonparametric maximum likelihood approach (Emura & Wang 2012 JMVA) are implemented for statistical inference on (X, Y), when X and Y are dependent. Also included is truncated data on the number of deaths at each year (1963-1980) for Japanese male centenarians (Emura and Murotani 2015).
Author: Takeshi EMURA
Maintainer: Takeshi EMURA
DESCRIPTION | 14 +++++++-------
MD5 | 24 +++++++++++++-----------
data |only
man/CHAIEB.Clayton.Rd | 19 +++++++++++++------
man/CHAIEB.Frank.Rd | 13 +++++++------
man/EMURA.Clayton.Rd | 13 +++++++------
man/EMURA.Frank.Rd | 13 +++++++------
man/NPMLE.Frank.Rd | 7 +++----
man/NPMLE.Indep.Rd | 7 +++----
man/NPMLE.Normal.Rd | 9 ++++-----
man/NPMLE.Plackett.Rd | 7 +++----
man/PMLE.Normal.Rd | 6 ++++--
man/centenarian.Rd |only
man/depend.truncation-package.Rd | 22 ++++++++++++++++++----
14 files changed, 89 insertions(+), 65 deletions(-)
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-02-27 0.1