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Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: The R Sequential package is designed for performing exact sequential analysis. There are functions to calculate exact critical values, statistical power, expected time to signal and required sample sizes. These calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. For group sequential analyses, the group sizes do not have to be specified in advance and, for binomial data, the alpha spending can be arbitrarely settled.
Author: Ivair Ramos Silva and Martin Kulldorff
Maintainer: Ivair Ramos Silva <jamesivair@yahoo.com.br>
Diff between Sequential versions 1.1 dated 2014-01-17 and 2.0 dated 2015-06-06
Sequential-1.1/Sequential/R/Sequential-internal.R |only Sequential-2.0/Sequential/DESCRIPTION | 12 Sequential-2.0/Sequential/MD5 | 37 + Sequential-2.0/Sequential/R/Analyze.Binomial.R |only Sequential-2.0/Sequential/R/AnalyzeSetUp.Binomial.R |only Sequential-2.0/Sequential/R/CV.Binomial.R |only Sequential-2.0/Sequential/R/CV.G.Binomial.R |only Sequential-2.0/Sequential/R/CV.G.Poisson.R | 4 Sequential-2.0/Sequential/R/CV.Poisson.R | 9 Sequential-2.0/Sequential/R/Performance.Binomial.R |only Sequential-2.0/Sequential/R/Performance.G.Binomial.R |only Sequential-2.0/Sequential/R/Performance.G.Poisson.R | 4 Sequential-2.0/Sequential/R/Performance.Poisson.R | 2 Sequential-2.0/Sequential/R/SampleSize.Binomial.R |only Sequential-2.0/Sequential/man/Analyze.Binomial.Rd |only Sequential-2.0/Sequential/man/AnalyzeSetUp.Binomial.Rd |only Sequential-2.0/Sequential/man/CV.Binomial.Rd |only Sequential-2.0/Sequential/man/CV.G.Binomial.Rd |only Sequential-2.0/Sequential/man/CV.G.Poisson.Rd | 38 - Sequential-2.0/Sequential/man/CV.Poisson.Rd | 30 - Sequential-2.0/Sequential/man/Performance.Binomial.Rd |only Sequential-2.0/Sequential/man/Performance.G.Binomial.Rd |only Sequential-2.0/Sequential/man/Performance.G.Poisson.Rd | 39 - Sequential-2.0/Sequential/man/Performance.Poisson.Rd | 43 -- Sequential-2.0/Sequential/man/SampleSize.Binomial.Rd |only Sequential-2.0/Sequential/man/SampleSize.Poisson.Rd | 45 +- Sequential-2.0/Sequential/man/Sequential-package.Rd | 324 +++++++++++----- 27 files changed, 364 insertions(+), 223 deletions(-)
Title: Markov Chain Monte Carlo for Potts Models
Description: Does Markov chain Monte Carlo (MCMC) simulation of Potts models
and composite likelihood inference for Potts models.
Author: Charles J. Geyer <charlie@stat.umn.edu> and Leif Johnson
<leif@stat.umn.edu>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>
Diff between potts versions 0.5-2 dated 2014-04-02 and 0.5-3 dated 2015-06-06
ChangeLog | 6 ++++++ DESCRIPTION | 13 +++++++------ MD5 | 20 ++++++++++---------- build/vignette.rds |binary inst/doc/cll.pdf |binary man/cachet.Rd | 4 ++-- man/calct.Rd | 2 +- man/cll.Rd | 2 +- tests/debug-cond.Rout.save | 15 +++++++++------ tests/debug-free.Rout.save | 16 +++++++++------- tests/debug.Rout.save | 15 +++++++++------ 11 files changed, 54 insertions(+), 39 deletions(-)
Title: Testing, Monitoring, and Dating Structural Changes
Description: Testing, monitoring and dating structural changes in (linear)
regression models. strucchange features tests/methods from
the generalized fluctuation test framework as well as from
the F test (Chow test) framework. This includes methods to
fit, plot and test fluctuation processes (e.g., CUSUM, MOSUM,
recursive/moving estimates) and F statistics, respectively.
It is possible to monitor incoming data online using
fluctuation processes.
Finally, the breakpoints in regression models with structural
changes can be estimated together with confidence intervals.
Emphasis is always given to methods for visualizing the data.
Author: Achim Zeileis [aut, cre],
Friedrich Leisch [aut],
Kurt Hornik [aut],
Christian Kleiber [aut],
Bruce Hansen [ctb],
Edgar C. Merkle [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>
Diff between strucchange versions 1.5-0 dated 2013-10-28 and 1.5-1 dated 2015-06-06
DESCRIPTION | 18 ++- MD5 | 55 +++++------ NAMESPACE | 1 NEWS | 12 ++ R/breakpoints.R | 8 - R/gefp.R | 6 - R/simul-monitoring.R | 3 R/zzz.R | 97 ++++++++++++++------ build |only data/BostonHomicide.rda |binary data/DJIA.rda |binary data/GermanM1.rda |binary data/Grossarl.rda |binary data/PhillipsCurve.rda |binary data/RealInt.rda |binary data/SP2001.rda |binary data/USIncExp.rda |binary data/durab.rda |binary data/scPublications.rda |binary inst/doc/strucchange-intro.pdf |binary man/breakpoints.Rd | 2 man/catL2BB.Rd | 31 +++--- man/efpFunctional.Rd | 7 - man/gefp.Rd | 2 man/mefp.Rd | 2 man/sctest.default.Rd | 9 + tests/Examples/strucchange-Ex.Rout.save | 155 +++++++++++++------------------- tests/strucchange-tests.Rout.save | 40 ++++---- vignettes/strucchange-intro.Rout.save | 8 - 29 files changed, 246 insertions(+), 210 deletions(-)
Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning.
The core of the package is ctree(), an implementation of
conditional inference trees which embed tree-structured
regression models into a well defined theory of conditional
inference procedures. This non-parametric class of regression
trees is applicable to all kinds of regression problems, including
nominal, ordinal, numeric, censored as well as multivariate response
variables and arbitrary measurement scales of the covariates.
Based on conditional inference trees, cforest() provides an
implementation of Breiman's random forests. The function mob()
implements an algorithm for recursive partitioning based on
parametric models (e.g. linear models, GLMs or survival
regression) employing parameter instability tests for split
selection. Extensible functionality for visualizing tree-structured
regression models is available.
Author: Torsten Hothorn [aut, cre],
Kurt Hornik [aut],
Carolin Strobl [aut],
Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between party versions 1.0-20 dated 2015-02-18 and 1.0-21 dated 2015-06-06
DESCRIPTION | 10 +++++----- MD5 | 16 ++++++++-------- build/vignette.rds |binary data/readingSkills.rda |binary inst/NEWS | 6 ++++++ inst/doc/MOB.pdf |binary inst/doc/party.pdf |binary tests/Examples/party-Ex.Rout.save | 20 +++++++++----------- tests/IndependenceTest-regtest.Rout.save | 21 +++++++++++---------- 9 files changed, 39 insertions(+), 34 deletions(-)
Title: Mann-Whitney-Wilcoxon Test for Nested Ranks
Description: Calculate a Mann-Whitney-Wilcoxon test for a difference between treatment levels using nested ranks. This test can be used when observations are structured into several groups and each group has received both treatment levels. The p-value is determined via bootstrapping. The nested ranks test is intended to be one possible mixed-model extension of the Mann-Whitney-Wilcoxon test, for which treatment is a fixed effect and group membership is a random effect.
Author: Douglas G. Scofield [aut, cre]
Maintainer: Douglas G. Scofield <douglasgscofield@gmail.com>
Diff between nestedRanksTest versions 0.1 dated 2015-02-08 and 0.2 dated 2015-06-06
DESCRIPTION | 9 - MD5 | 45 +++--- NAMESPACE | 2 NEWS | 14 + R/htest_boot-class.R |only R/nestedRanksTest-data.R |only R/nestedRanksTest-package.R |only R/nestedRanksTest.R | 197 ---------------------------- README.md | 23 ++- build/vignette.rds |binary inst/doc/nestedRanksTest.R | 21 +- inst/doc/nestedRanksTest.Rmd | 35 ++-- inst/doc/nestedRanksTest.html | 43 +++--- man/nestedRanksTest-package.Rd | 8 - man/nestedRanksTest.Rd | 2 man/nestedRanksTest_Z.Rd | 2 man/nestedRanksTest_weights.Rd | 2 man/plot.htest_boot.Rd | 61 ++++---- man/print.htest_boot.Rd | 32 ++-- man/woodpecker_multiyear.Rd | 5 tests/Examples/nestedRanksTest-Ex.Rout.save | 24 +-- tests/test_interface.Rout.save | 26 +-- tests/testthat/test_iface_err.R | 2 tests/testthat/test_iface_ident.R | 2 vignettes/nestedRanksTest.Rmd | 35 ++-- 25 files changed, 218 insertions(+), 372 deletions(-)
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Title: Testing Linear Regression Models
Description: A collection of tests, data sets, and examples
for diagnostic checking in linear regression models. Furthermore,
some generic tools for inference in parametric models are provided.
Author: Torsten Hothorn [aut],
Achim Zeileis [aut, cre],
Richard W. Farebrother [aut] (pan.f),
Clint Cummins [aut] (pan.f),
Giovanni Millo [ctb],
David Mitchell [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>
Diff between lmtest versions 0.9-33 dated 2014-01-23 and 0.9-34 dated 2015-06-06
DESCRIPTION | 10 +-- MD5 | 56 ++++++++++---------- NAMESPACE | 8 ++ NEWS | 8 ++ R/coeftest.R | 3 - build/vignette.rds |binary data/ChickEgg.rda |binary data/Mandible.rda |binary data/USDistLag.rda |binary data/bondyield.rda |binary data/currencysubstitution.rda |binary data/ftemp.rda |binary data/fyff.rda |binary data/gmdc.rda |binary data/growthofmoney.rda |binary data/ip.rda |binary data/jocci.rda |binary data/lhur.rda |binary data/moneydemand.rda |binary data/pw561.rda |binary data/unemployment.rda |binary data/valueofstocks.rda |binary data/wages.rda |binary inst/doc/lmtest-intro.Rnw | 9 ++- inst/doc/lmtest-intro.pdf |binary man/jocci.Rd | 2 tests/Examples/lmtest-Ex.Rout.save | 100 ++++++++++++++++++------------------- vignettes/lmtest-intro.Rnw | 9 ++- vignettes/lmtest-intro.Rout.save | 27 +++++---- 29 files changed, 130 insertions(+), 102 deletions(-)
Title: Applied Econometrics with R
Description: Functions, data sets, examples, demos, and vignettes for the book
Christian Kleiber and Achim Zeileis (2008),
Applied Econometrics with R, Springer-Verlag, New York.
ISBN 978-0-387-77316-2. (See the vignette for a package overview.)
Author: Christian Kleiber [aut],
Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>
Diff between AER versions 1.2-3 dated 2015-02-24 and 1.2-4 dated 2015-06-06
DESCRIPTION | 10 - MD5 | 230 +++++++++++++++++------------------ NEWS | 5 build/vignette.rds |binary data/Affairs.rda |binary data/ArgentinaCPI.rda |binary data/BankWages.rda |binary data/BenderlyZwick.rda |binary data/BondYield.rda |binary data/CASchools.rda |binary data/CPS1985.rda |binary data/CPS1988.rda |binary data/CPSSW04.rda |binary data/CPSSW3.rda |binary data/CPSSW8.rda |binary data/CPSSW9204.rda |binary data/CPSSW9298.rda |binary data/CPSSWEducation.rda |binary data/CartelStability.rda |binary data/ChinaIncome.rda |binary data/CigarettesB.rda |binary data/CigarettesSW.rda |binary data/CollegeDistance.rda |binary data/ConsumerGood.rda |binary data/CreditCard.rda |binary data/DJFranses.rda |binary data/DoctorVisits.rda |binary data/DutchAdvert.rda |binary data/DutchSales.rda |binary data/Electricity1955.rda |binary data/Electricity1970.rda |binary data/EquationCitations.rda |binary data/Equipment.rda |binary data/EuroEnergy.rda |binary data/Fatalities.rda |binary data/Fertility.rda |binary data/Fertility2.rda |binary data/FrozenJuice.rda |binary data/GSOEP9402.rda |binary data/GSS7402.rda |binary data/GermanUnemployment.rda |binary data/GrowthDJ.rda |binary data/GrowthSW.rda |binary data/Grunfeld.rda |binary data/Guns.rda |binary data/HMDA.rda |binary data/HealthInsurance.rda |binary data/HousePrices.rda |binary data/Journals.rda |binary data/KleinI.rda |binary data/Longley.rda |binary data/MASchools.rda |binary data/ManufactCosts.rda |binary data/MarkDollar.rda |binary data/MarkPound.rda |binary data/Medicaid1986.rda |binary data/Mortgage.rda |binary data/MotorCycles.rda |binary data/Municipalities.rda |binary data/MurderRates.rda |binary data/NMES1988.rda |binary data/NYSESW.rda |binary data/NaturalGas.rda |binary data/OECDGas.rda |binary data/OECDGrowth.rda |binary data/OlympicTV.rda |binary data/OrangeCounty.rda |binary data/PSID1976.rda |binary data/PSID1982.rda |binary data/PSID7682.rda |binary data/Parade2005.rda |binary data/PepperPrice.rda |binary data/PhDPublications.rda |binary data/ProgramEffectiveness.rda |binary data/RecreationDemand.rda |binary data/ResumeNames.rda |binary data/SIC33.rda |binary data/STAR.rda |binary data/ShipAccidents.rda |binary data/SmokeBan.rda |binary data/SportsCards.rda |binary data/StrikeDuration.rda |binary data/SwissLabor.rda |binary data/TeachingRatings.rda |binary data/TechChange.rda |binary data/TradeCredit.rda |binary data/TravelMode.rda |binary data/UKInflation.rda |binary data/UKNonDurables.rda |binary data/USAirlines.rda |binary data/USConsump1950.rda |binary data/USConsump1979.rda |binary data/USConsump1993.rda |binary data/USCrudes.rda |binary data/USGasB.rda |binary data/USGasG.rda |binary data/USInvest.rda |binary data/USMacroB.rda |binary data/USMacroG.rda |binary data/USMacroSW.rda |binary data/USMacroSWM.rda |binary data/USMacroSWQ.rda |binary data/USMoney.rda |binary data/USProdIndex.rda |binary data/USSeatBelts.rda |binary data/USStocksSW.rda |binary data/WeakInstrument.rda |binary inst/doc/AER.pdf |binary inst/doc/Sweave-journals.pdf |binary tests/Ch-Basics.Rout.save | 9 - tests/Ch-Intro.Rout.save | 6 tests/Ch-LinearRegression.Rout.save | 13 - tests/Ch-Microeconometrics.Rout.save | 22 --- tests/Ch-Programming.Rout.save | 7 - tests/Ch-TimeSeries.Rout.save | 23 +-- tests/Ch-Validation.Rout.save | 25 +-- 116 files changed, 170 insertions(+), 180 deletions(-)
Title: Data Analysis in Ecology
Description: Miscellaneous functions for data analysis in ecology, with special emphasis on spatial data.
Author: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>
Maintainer: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>
Diff between pgirmess versions 1.6.0 dated 2015-04-30 and 1.6.1 dated 2015-06-06
pgirmess-1.6.0/pgirmess/R/clipQGIS2df.R |only pgirmess-1.6.0/pgirmess/man/clipQGIS2df.Rd |only pgirmess-1.6.1/pgirmess/DESCRIPTION | 13 +- pgirmess-1.6.1/pgirmess/MD5 | 12 +- pgirmess-1.6.1/pgirmess/NAMESPACE | 10 +- pgirmess-1.6.1/pgirmess/R/QGIS2sp.R |only pgirmess-1.6.1/pgirmess/R/readVista.r | 132 ++++------------------------- pgirmess-1.6.1/pgirmess/man/QGIS2sp.Rd |only pgirmess-1.6.1/pgirmess/man/readVista.rd | 15 +-- 9 files changed, 52 insertions(+), 130 deletions(-)
Title: Regularized Principal Component Analysis for Spatial Data
Description: Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigenfunctions by using the alternating direction method of multipliers algorithm. The method can be applied to either regularly or irregularly spaced data.
Author: Wen-Ting Wang and Hsin-Cheng Huang
Maintainer: Wen-Ting Wang <egpivo@gmail.com>
Diff between SpatPCA versions 1.0.0.1 dated 2015-02-06 and 1.0.0.2 dated 2015-06-06
DESCRIPTION | 13 MD5 | 16 R/SpatPCA.R | 1032 ++++++++++++++++++++++++------------------------- man/SpatPCA-package.Rd | 35 - man/cv.covfn.Rd | 93 ++-- man/cv.spatpca.Rd | 164 +++---- man/spatpca.Rd | 6 src/RcppExports.cpp | 118 ++--- src/rcpp_SpatPCA.cpp | 157 +++---- 9 files changed, 806 insertions(+), 828 deletions(-)
Title: Genetic Analysis Package
Description: It is designed as an integrated package for genetic data
analysis of both population and family data. Currently, it
contains functions for sample size calculations of both
population-based and family-based designs, probability of
familial disease aggregation, kinship calculation, statistics
in linkage analysis, and association analysis involving genetic
markers including haplotype analysis with or without environmental
covariates.
Author: Jing Hua Zhao and colleagues with inputs from Kurt Hornik and
Brian Ripley
Maintainer: Jing Hua Zhao <jinghua.zhao@mrc-epid.cam.ac.uk>
Diff between gap versions 1.1-14 dated 2015-06-04 and 1.1-16 dated 2015-06-06
gap-1.1-14/gap/inst/doc/h2.R |only gap-1.1-14/gap/vignettes/figures/MCMCglmm1.pdf |only gap-1.1-14/gap/vignettes/figures/MCMCglmm2.pdf |only gap-1.1-14/gap/vignettes/figures/bugs.pdf |only gap-1.1-14/gap/vignettes/figures/h2.pdf |only gap-1.1-14/gap/vignettes/figures/h2l.pdf |only gap-1.1-14/gap/vignettes/figures/jags.pdf |only gap-1.1-14/gap/vignettes/figures/l51.pdf |only gap-1.1-14/gap/vignettes/h2.bib |only gap-1.1-14/gap/vignettes/model.txt |only gap-1.1-16/gap/ChangeLog | 7 gap-1.1-16/gap/DESCRIPTION | 12 gap-1.1-16/gap/MD5 | 41 - gap-1.1-16/gap/build/vignette.rds |binary gap-1.1-16/gap/inst/doc/gap.pdf |binary gap-1.1-16/gap/inst/doc/h2.Rnw | 562 ------------------------- gap-1.1-16/gap/inst/doc/h2.pdf |binary gap-1.1-16/gap/inst/doc/jss.pdf |binary gap-1.1-16/gap/inst/doc/pedtodot.pdf |binary gap-1.1-16/gap/inst/doc/rnews.pdf |binary gap-1.1-16/gap/vignettes/1-1-13.pdf |only gap-1.1-16/gap/vignettes/figures/4w.pdf |binary gap-1.1-16/gap/vignettes/figures/ESplot.pdf |binary gap-1.1-16/gap/vignettes/figures/asplot.pdf |binary gap-1.1-16/gap/vignettes/figures/lukas.pdf |binary gap-1.1-16/gap/vignettes/figures/qqunif.pdf |binary gap-1.1-16/gap/vignettes/h2.Rnw | 562 ------------------------- 27 files changed, 41 insertions(+), 1143 deletions(-)
Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable
drop-in replacements for base url() and download.file() with better performance,
support for encryption (https://, ftps://), 'gzip' compression, authentication,
and other 'libcurl' goodies. The core of the package implements a framework for
performing fully customized requests where data can be processed either in memory,
on disk, or streaming via the callback or connection interfaces. Some knowledge of
'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package
which builds on this package with HTTP specific tools and logic.
Author: Jeroen Ooms [cre, aut],
Hadley Wickham [ctb],
RStudio [cph]
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>
Diff between curl versions 0.7 dated 2015-05-22 and 0.8 dated 2015-06-06
curl-0.7/curl/src/Makevars |only curl-0.8/curl/DESCRIPTION | 18 +++++++++--------- curl-0.8/curl/MD5 | 15 +++++++-------- curl-0.8/curl/NEWS | 3 +++ curl-0.8/curl/R/onload.R | 8 ++++++-- curl-0.8/curl/configure | 16 +++++++++------- curl-0.8/curl/inst/doc/intro.html | 14 +++++++------- curl-0.8/curl/src/curl.c | 9 +++++++++ curl-0.8/curl/src/fetch.c | 8 ++++++-- 9 files changed, 56 insertions(+), 35 deletions(-)
Title: Bayesian Analysis of Generalized Elliptical Semi-Parametric
Models and Flexible Measurement Error Models
Description: Set of tools to perform the statistical inference based on the Bayesian approach for regression models under the assumption that independent additive errors follow normal, Student-t, slash, contaminated normal, Laplace or symmetric hyperbolic distributions, i.e., additive errors follow a scale mixtures of normal distributions. The regression models considered in this package are: (i) Generalized elliptical semi-parametric models, where both location and dispersion parameters of the response variable distribution include non-parametric additive components described by using B-splines; and (ii) Flexible measurement error models under the presence of homoscedastic and heteroscedastic random errors, which admit explanatory variables with and without measurement additive errors as well as the presence of a non-parametric components approximated by using B-splines.
Author: Luz Marina Rondon <lumarp@gmail.com> and Heleno Bolfarine
Maintainer: Luz Marina Rondon <lumarp@gmail.com>
Diff between BayesGESM versions 1.3 dated 2015-03-24 and 1.4 dated 2015-06-06
BayesGESM-1.3/BayesGESM/R/bsp.graph.R |only BayesGESM-1.3/BayesGESM/man/bsp.graph.Rd |only BayesGESM-1.4/BayesGESM/DESCRIPTION | 12 BayesGESM-1.4/BayesGESM/MD5 | 41 - BayesGESM-1.4/BayesGESM/NAMESPACE | 4 BayesGESM-1.4/BayesGESM/R/BayesGESM-internal.R |only BayesGESM-1.4/BayesGESM/R/bsp.graph.fmem.R | 4 BayesGESM-1.4/BayesGESM/R/bsp.graph.gesm.R |only BayesGESM-1.4/BayesGESM/R/fmem.R | 65 +- BayesGESM-1.4/BayesGESM/R/gesm.R | 679 ++++++++++++----------- BayesGESM-1.4/BayesGESM/R/mcmc.fmem.R | 168 ++++- BayesGESM-1.4/BayesGESM/R/mcmc.gesm.R | 406 ++++++++----- BayesGESM-1.4/BayesGESM/R/summary.fmem.R | 28 BayesGESM-1.4/BayesGESM/R/summary.gesm.R | 104 ++- BayesGESM-1.4/BayesGESM/data |only BayesGESM-1.4/BayesGESM/man/BayesGESM-package.Rd | 31 - BayesGESM-1.4/BayesGESM/man/TexasData.Rd |only BayesGESM-1.4/BayesGESM/man/bsp.Rd | 2 BayesGESM-1.4/BayesGESM/man/bsp.graph.gesm.Rd |only BayesGESM-1.4/BayesGESM/man/fmem.Rd | 23 BayesGESM-1.4/BayesGESM/man/gesm.Rd | 16 BayesGESM-1.4/BayesGESM/man/mcmc.fmem.Rd | 3 BayesGESM-1.4/BayesGESM/man/mcmc.gesm.Rd | 4 BayesGESM-1.4/BayesGESM/man/summary.fmem.Rd | 2 BayesGESM-1.4/BayesGESM/man/summary.gesm.Rd | 2 25 files changed, 949 insertions(+), 645 deletions(-)