Title: Testing Generalized Linear Hypotheses for Generalized Linear
Model Parameters by Profile Deviance
Description: Calculation of signed root deviance profiles for linear combinations of parameters in a generalized linear model. Multiple tests and simultaneous confidence intervals are provided.
Author: Daniel Gerhard
Maintainer: Daniel Gerhard <00gerhard@gmail.com>
Diff between mcprofile versions 0.2-1 dated 2014-11-16 and 0.2-3 dated 2016-10-09
DESCRIPTION | 11 ++++---- MD5 | 12 ++++---- NAMESPACE | 6 +++- R/methods.R | 2 - build/vignette.rds |binary inst/doc/mcprofile.R | 2 - inst/doc/mcprofile.html | 66 ++++++++++++++++++++++++------------------------ 7 files changed, 52 insertions(+), 47 deletions(-)
Title: Depth-Based Classification and Calculation of Data Depth
Description: Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.
Author: Oleksii Pokotylo [aut, cre],
Pavlo Mozharovskyi [aut],
Rainer Dyckerhoff [aut]
Maintainer: Oleksii Pokotylo <alexey.pokotylo@gmail.com>
Diff between ddalpha versions 1.2.0.1 dated 2016-07-27 and 1.2.1 dated 2016-10-09
ddalpha-1.2.0.1/ddalpha/man/plotf.Rd |only ddalpha-1.2.1/ddalpha/DESCRIPTION | 10 ddalpha-1.2.1/ddalpha/MD5 | 123 ++++----- ddalpha-1.2.1/ddalpha/NAMESPACE | 18 + ddalpha-1.2.1/ddalpha/R/compclassf.r | 20 - ddalpha-1.2.1/ddalpha/R/dataf.geneexp.r | 2 ddalpha-1.2.1/ddalpha/R/dataf.growth.r | 2 ddalpha-1.2.1/ddalpha/R/dataf.medflies.r | 2 ddalpha-1.2.1/ddalpha/R/dataf.sim.r | 32 +- ddalpha-1.2.1/ddalpha/R/dataf.tecator.r | 3 ddalpha-1.2.1/ddalpha/R/ddalpha-internal.r | 190 +++++++++++++- ddalpha-1.2.1/ddalpha/R/ddalpha.classify.r | 18 + ddalpha-1.2.1/ddalpha/R/ddalpha.test.r | 2 ddalpha-1.2.1/ddalpha/R/ddalpha.train.r | 33 +- ddalpha-1.2.1/ddalpha/R/ddalphaf.r | 41 +-- ddalpha-1.2.1/ddalpha/R/depth.contours.r | 56 ++-- ddalpha-1.2.1/ddalpha/R/depth.r |only ddalpha-1.2.1/ddalpha/R/draw.ddplot.r | 25 + ddalpha-1.2.1/ddalpha/R/routines.r | 31 ++ ddalpha-1.2.1/ddalpha/inst/CITATION | 35 -- ddalpha-1.2.1/ddalpha/man/CustomMethods.Rd | 2 ddalpha-1.2.1/ddalpha/man/compclassf.classify.Rd | 15 - ddalpha-1.2.1/ddalpha/man/compclassf.train.Rd | 4 ddalpha-1.2.1/ddalpha/man/dataf..Rd | 4 ddalpha-1.2.1/ddalpha/man/dataf.geneexp.Rd | 4 ddalpha-1.2.1/ddalpha/man/dataf.growth.Rd | 4 ddalpha-1.2.1/ddalpha/man/dataf.medflies.Rd | 4 ddalpha-1.2.1/ddalpha/man/dataf.sim.1.CFF07.Rd | 6 ddalpha-1.2.1/ddalpha/man/dataf.sim.2.CFF07.Rd | 6 ddalpha-1.2.1/ddalpha/man/dataf.tecator.Rd | 6 ddalpha-1.2.1/ddalpha/man/ddalpha-package.Rd | 29 +- ddalpha-1.2.1/ddalpha/man/ddalpha.classify.Rd | 26 + ddalpha-1.2.1/ddalpha/man/ddalpha.train.Rd | 48 ++- ddalpha-1.2.1/ddalpha/man/ddalphaf.classify.Rd | 17 - ddalpha-1.2.1/ddalpha/man/ddalphaf.train.Rd | 4 ddalpha-1.2.1/ddalpha/man/depth..Rd | 14 - ddalpha-1.2.1/ddalpha/man/depth.Mahalanobis.Rd | 12 ddalpha-1.2.1/ddalpha/man/depth.contours.Rd | 6 ddalpha-1.2.1/ddalpha/man/depth.contours.ddalpha.Rd | 10 ddalpha-1.2.1/ddalpha/man/depth.graph.Rd | 4 ddalpha-1.2.1/ddalpha/man/depth.halfspace.Rd | 8 ddalpha-1.2.1/ddalpha/man/depth.potential.Rd | 4 ddalpha-1.2.1/ddalpha/man/depth.projection.Rd | 15 - ddalpha-1.2.1/ddalpha/man/depth.simplicial.Rd | 5 ddalpha-1.2.1/ddalpha/man/depth.simplicialVolume.Rd | 4 ddalpha-1.2.1/ddalpha/man/depth.space..Rd | 14 - ddalpha-1.2.1/ddalpha/man/depth.space.Mahalanobis.Rd | 11 ddalpha-1.2.1/ddalpha/man/depth.space.halfspace.Rd | 8 ddalpha-1.2.1/ddalpha/man/depth.space.potential.Rd | 4 ddalpha-1.2.1/ddalpha/man/depth.space.projection.Rd | 15 - ddalpha-1.2.1/ddalpha/man/depth.space.simplicial.Rd | 5 ddalpha-1.2.1/ddalpha/man/depth.space.simplicialVolume.Rd | 4 ddalpha-1.2.1/ddalpha/man/depth.space.spatial.Rd | 9 ddalpha-1.2.1/ddalpha/man/depth.space.zonoid.Rd | 8 ddalpha-1.2.1/ddalpha/man/depth.spatial.Rd | 9 ddalpha-1.2.1/ddalpha/man/depth.zonoid.Rd | 6 ddalpha-1.2.1/ddalpha/man/dknn.classify.Rd | 2 ddalpha-1.2.1/ddalpha/man/dknn.classify.trained.Rd | 2 ddalpha-1.2.1/ddalpha/man/dknn.train.Rd | 2 ddalpha-1.2.1/ddalpha/man/draw.ddplot.Rd | 8 ddalpha-1.2.1/ddalpha/man/getdata.Rd | 16 - ddalpha-1.2.1/ddalpha/man/is.in.convex.Rd | 2 ddalpha-1.2.1/ddalpha/man/plot.ddalpha.Rd |only ddalpha-1.2.1/ddalpha/man/plot.ddalphaf.Rd |only ddalpha-1.2.1/ddalpha/man/plot.functional.Rd |only 65 files changed, 671 insertions(+), 358 deletions(-)
Title: Velocity and Accuracy of the LOg-RAnk TEst
Description: The algorithm implemented in this package was
designed to quickly estimates the distribution of the
log-rank especially for heavy unbalanced groups. VALORATE
estimates the null distribution and the p-value of the
log-rank test based on a recent formulation. For a given
number of alterations that define the size of survival
groups, the estimation involves a weighted sum of
distributions that are conditional on a co-occurrence term
where mutations and events are both present. The estimation
of conditional distributions is quite fast allowing the
analysis of large datasets in few minutes
<http://bioinformatica.mty.itesm.mx/valorate>.
Author: Victor Trevino [aut, cre]
Maintainer: Victor Trevino <vtrevino@itesm.mx>
Diff between valorate versions 1.0-0 dated 2016-10-02 and 1.0-1 dated 2016-10-09
DESCRIPTION | 8 ++-- MD5 | 24 ++++++------- R/valorate.R | 55 +++++++++++++++++++++----------- man/New_Valorate.Rd | 11 ++++-- man/prepare.n1.Rd | 2 - man/valorate.p.value.Rd | 2 - man/valorate.plot.empirical.Rd | 2 - man/valorate.plot.kaplan.Rd | 2 - man/valorate.plot.sampling.densities.Rd | 7 ++-- man/valorate.plot.subpop.Rd | 2 - man/valorate.risk.Rd | 2 - man/valorate.survdiff.Rd | 2 - src/valorate_samplings.c | 27 ++++++++++++--- 13 files changed, 93 insertions(+), 53 deletions(-)
Title: Fast Bayesian Methods for AB Testing
Description: A suite of functions that allow the user to analyze A/B test
data in a Bayesian framework. Intended to be a drop-in replacement for
common frequentist hypothesis test such as the t-test and chi-sq test.
Author: Frank Portman [aut, cre]
Maintainer: Frank Portman <frank1214@gmail.com>
Diff between bayesAB versions 0.6.0 dated 2016-09-13 and 0.7.0 dated 2016-10-09
bayesAB-0.6.0/bayesAB/src/bayesCountTest.cpp |only bayesAB-0.6.0/bayesAB/src/bayesPropTestClosed.cpp |only bayesAB-0.7.0/bayesAB/DESCRIPTION | 11 - bayesAB-0.7.0/bayesAB/MD5 | 61 ++++---- bayesAB-0.7.0/bayesAB/NAMESPACE | 8 - bayesAB-0.7.0/bayesAB/NEWS.md |only bayesAB-0.7.0/bayesAB/R/bandit.R |only bayesAB-0.7.0/bayesAB/R/bayesAB.R | 10 + bayesAB-0.7.0/bayesAB/R/bayesTest.R | 2 bayesAB-0.7.0/bayesAB/R/combine.R | 9 - bayesAB-0.7.0/bayesAB/R/generics.R | 88 +++++++++-- bayesAB-0.7.0/bayesAB/R/makePlots.R | 36 +++- bayesAB-0.7.0/bayesAB/R/plotDists.R | 18 ++ bayesAB-0.7.0/bayesAB/R/util.R | 25 ++- bayesAB-0.7.0/bayesAB/README.md | 30 ++- bayesAB-0.7.0/bayesAB/inst/doc/introduction.html | 143 ++++++++++++++----- bayesAB-0.7.0/bayesAB/man/banditize.Rd |only bayesAB-0.7.0/bayesAB/man/bayesAB.Rd | 9 + bayesAB-0.7.0/bayesAB/man/bayesTest.Rd | 2 bayesAB-0.7.0/bayesAB/man/combine.Rd | 2 bayesAB-0.7.0/bayesAB/man/deployBandit.Rd |only bayesAB-0.7.0/bayesAB/man/installPlumber.Rd |only bayesAB-0.7.0/bayesAB/man/plot.bayesTest.Rd | 11 + bayesAB-0.7.0/bayesAB/man/plotBeta.Rd | 4 bayesAB-0.7.0/bayesAB/man/plotGamma.Rd | 4 bayesAB-0.7.0/bayesAB/man/plotInvGamma.Rd | 4 bayesAB-0.7.0/bayesAB/man/plotLogNormal.Rd | 4 bayesAB-0.7.0/bayesAB/man/plotNormal.Rd | 4 bayesAB-0.7.0/bayesAB/man/plotPareto.Rd | 4 bayesAB-0.7.0/bayesAB/man/plotPoisson.Rd | 4 bayesAB-0.7.0/bayesAB/man/summary.bayesTest.Rd | 8 + bayesAB-0.7.0/bayesAB/src/closedTests.cpp |only bayesAB-0.7.0/bayesAB/tests/testthat/Rplots.pdf |binary bayesAB-0.7.0/bayesAB/tests/testthat/test-bandit.R |only bayesAB-0.7.0/bayesAB/tests/testthat/test-dists.R | 14 - bayesAB-0.7.0/bayesAB/tests/testthat/test-generics.R | 3 36 files changed, 391 insertions(+), 127 deletions(-)
Title: Relative Distribution Methods
Description: Tools for the comparison of distributions. This includes nonparametric estimation of the relative distribution PDF and CDF and numerical summaries as described in "Relative Distribution Methods in the Social Sciences" by Mark S. Handcock and Martina Morris, Springer-Verlag, 1999, Springer-Verlag, ISBN 0387987789.
Author: Mark S. Handcock <handcock@stat.ucla.edu>
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>
Diff between reldist versions 1.6-4 dated 2015-01-27 and 1.6-6 dated 2016-10-09
DESCRIPTION | 17 ++++++----------- MD5 | 12 ++++++------ NAMESPACE | 6 ++++++ R/bgk_kde.R | 4 +++- R/wtd.quantile.R | 39 +++------------------------------------ inst/CITATION | 4 ++-- tests/FigSM.R | 16 ++++++++-------- 7 files changed, 34 insertions(+), 64 deletions(-)
Title: Fast Multivariate Normal and Student's t Methods
Description: Provides computationally efficient tools related to
the multivariate normal and Student's t distributions. The main functionalities are:
simulating multivariate random vectors, evaluating multivariate
normal or Student's t densities and Mahalanobis distances. These tools are very efficient
thanks to the use of C++ code and of the OpenMP API.
Author: Matteo Fasiolo, using the C++ parallel RNG of Thijs van den Berg and
Ziggurat algorithm of Jens Maurer and Steven Watanabe (boost)
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>
Diff between mvnfast versions 0.1.5 dated 2016-08-30 and 0.1.6 dated 2016-10-09
mvnfast-0.1.5/mvnfast/src/dmvnCpp.cpp |only mvnfast-0.1.6/mvnfast/DESCRIPTION | 16 +-- mvnfast-0.1.6/mvnfast/MD5 | 41 ++++--- mvnfast-0.1.6/mvnfast/R/dmvn.R | 14 +- mvnfast-0.1.6/mvnfast/R/dmvt.R |only mvnfast-0.1.6/mvnfast/R/rmvn.R | 42 +++++++ mvnfast-0.1.6/mvnfast/R/rmvt.R |only mvnfast-0.1.6/mvnfast/build/vignette.rds |binary mvnfast-0.1.6/mvnfast/inst/CITATION | 13 +- mvnfast-0.1.6/mvnfast/inst/doc/mvnfast.R | 35 +++++- mvnfast-0.1.6/mvnfast/inst/doc/mvnfast.Rmd | 62 +++++++++-- mvnfast-0.1.6/mvnfast/inst/doc/mvnfast.html | 142 ++++++++++++++++++++------- mvnfast-0.1.6/mvnfast/inst/tests/test-dmvn.R | 2 mvnfast-0.1.6/mvnfast/inst/tests/test-dmvt.R |only mvnfast-0.1.6/mvnfast/inst/tests/test-rmvn.R | 72 +++++++++++-- mvnfast-0.1.6/mvnfast/inst/tests/test-rmvt.R |only mvnfast-0.1.6/mvnfast/man/dmvn.Rd | 11 +- mvnfast-0.1.6/mvnfast/man/dmvt.Rd |only mvnfast-0.1.6/mvnfast/man/rmvn.Rd | 24 +++- mvnfast-0.1.6/mvnfast/man/rmvt.Rd |only mvnfast-0.1.6/mvnfast/src/dmvtCpp.cpp |only mvnfast-0.1.6/mvnfast/src/msCpp.cpp | 2 mvnfast-0.1.6/mvnfast/src/mvnfast.h | 5 mvnfast-0.1.6/mvnfast/src/rmvnCpp.cpp | 17 +-- mvnfast-0.1.6/mvnfast/src/rmvtCpp.cpp |only mvnfast-0.1.6/mvnfast/vignettes/mvnfast.Rmd | 62 +++++++++-- 26 files changed, 428 insertions(+), 132 deletions(-)
Title: A Tool for Calculation and Optimization of the Expected Gain
from Multi-Stage Selection
Description: Multi-stage selection is practiced in numerous fields of life and social sciences and particularly in breeding. A special characteristic of multi-stage selection is that candidates are evaluated in successive stages with increasing intensity and effort, and only a fraction of the superior candidates is selected and promoted to the next stage. For the optimum design of such selection programs, the selection gain plays a crucial role. It can be calculated by integration of a truncated multivariate normal (MVN) distribution. While mathematical formulas for calculating the selection gain and the variance among selected candidates were developed long time ago, solutions for numerical calculation were not available. This package can also be used for optimizing multi-stage selection programs for a given total budget and different costs of evaluating the candidates in each stage.
Author: Xuefei Mi, Jose Marulanda, H. Friedrich Utz, Albrecht E. Melchinger (Project contact person: Melchinger@uni-hohenheim.de )
Maintainer: Xuefei Mi <mi_xue_fei@hotmail.com>
Diff between selectiongain versions 2.0.50.1 dated 2016-03-14 and 2.0.591 dated 2016-10-09
DESCRIPTION | 8 ++++---- MD5 | 12 +++++++----- R/multistagegain.R | 5 +++-- R/multistageoptimum.search.R | 19 ++++++++++++++----- R/multistageoptimum.searchThreeS.R |only R/multistagevariance.R | 5 ++++- man/multistagegain.Rd | 27 +++++++++++++++------------ man/multistageoptimum.searchThreeS.Rd |only 8 files changed, 47 insertions(+), 29 deletions(-)
Title: Automatic Generation of Qualitative Color Palettes
Description: Automatic generation of distinct qualitative color palettes,
optionally adapted to color blindness. It takes a subspace of the HSL color
space as input and projects it to the DIN99d color space where it selects
and return colors that are maximally distinct.
Author: Johan Larsson [aut, cre]
Maintainer: Johan Larsson <johanlarsson@outlook.com>
Diff between qualpalr versions 0.1.0 dated 2016-08-31 and 0.2.1 dated 2016-10-09
qualpalr-0.1.0/qualpalr/R/wrappers.R |only qualpalr-0.1.0/qualpalr/tests/testthat/ciede2000testdata.RData |only qualpalr-0.1.0/qualpalr/tests/testthat/hsl_rgb_hex.RData |only qualpalr-0.2.1/qualpalr/DESCRIPTION | 18 qualpalr-0.2.1/qualpalr/MD5 | 33 - qualpalr-0.2.1/qualpalr/NEWS.md | 32 + qualpalr-0.2.1/qualpalr/R/color_formulas.R | 300 +++++++--- qualpalr-0.2.1/qualpalr/R/main.R | 214 ++++--- qualpalr-0.2.1/qualpalr/README.md | 35 - qualpalr-0.2.1/qualpalr/inst/doc/introduction.R | 65 ++ qualpalr-0.2.1/qualpalr/inst/doc/introduction.Rmd | 106 +++ qualpalr-0.2.1/qualpalr/inst/doc/introduction.html | 139 ++-- qualpalr-0.2.1/qualpalr/man/pairs.qualpal.Rd | 13 qualpalr-0.2.1/qualpalr/man/plot.qualpal.Rd | 2 qualpalr-0.2.1/qualpalr/man/qualpal.Rd | 82 +- qualpalr-0.2.1/qualpalr/tests/testthat/rgb_hsl.RData |only qualpalr-0.2.1/qualpalr/tests/testthat/test_color.R | 89 ++ qualpalr-0.2.1/qualpalr/tests/testthat/test_qualpal.R | 9 qualpalr-0.2.1/qualpalr/vignettes/introduction.Rmd | 106 +++ qualpalr-0.2.1/qualpalr/vignettes/qualpal.bib |only 20 files changed, 902 insertions(+), 341 deletions(-)
Title: Case Influence in Structural Equation Models
Description: A set of tools for evaluating several measures of case influence for structural equation models. Functions are based on the approach of J Pek and RC MacCallum (Sensitivity analysis in structural equation models: cases and their influence, Multivariate Behavioral Research, 2011).
Author: Massimiliano Pastore & Gianmarco Altoe'
Maintainer: Massimiliano Pastore <massimiliano.pastore@unipd.it>
Diff between influence.SEM versions 1.5 dated 2015-05-30 and 2.0 dated 2016-10-09
DESCRIPTION | 10 +++++----- MD5 | 30 ++++++++++++++++-------------- NAMESPACE | 2 ++ NEWS | 8 +++++++- R/Deltachi.R | 6 +++--- R/Likedist.R | 24 ++++++++++++++++++++---- R/bollen.loglik.R |only R/explore.influence.R | 5 +++-- R/fitinfluence.R | 32 ++++++++++++++++++++------------ R/genCookDist.R | 4 ++-- R/parinfluence.R | 4 ++-- man/Likedist.Rd | 19 ++++++++++++------- man/PDII.Rd | 2 +- man/Q.Rd | 10 ---------- man/bollen.loglik.Rd |only man/explore.influence.Rd | 6 +++++- man/fitinfluence.Rd | 25 ++++++++++++++----------- 17 files changed, 112 insertions(+), 75 deletions(-)
Title: Robust and Sparse Regression via Gamma-Divergence
Description: Robust regression via gamma-divergence with L1, elastic net and ridge.
Author: Takayuki Kawashima
Maintainer: Takayuki Kawashima <t-kawa@ism.ac.jp>
Diff between gamreg versions 0.1 dated 2016-10-07 and 0.2 dated 2016-10-09
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- src/sparse_gamreg.cpp | 3 +++ 3 files changed, 9 insertions(+), 6 deletions(-)
Title: Data Correction and Imputation Using Deductive Methods
Description: Attempt to repair inconsistencies and missing values in data
records by using information from valid values and validation rules
restricting the data.
Author: Mark van der Loo [cre, aut],
Edwin de Jonge [aut]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>
Diff between deductive versions 0.1.0 dated 2016-03-11 and 0.1.1 dated 2016-10-09
DESCRIPTION | 8 ++++---- MD5 | 13 +++++++------ NEWS |only R/linimpute.R | 3 ++- R/typocorr.R | 4 ++-- man/correct_typos.Rd | 4 ++-- src/imputezero.c | 7 ++++--- tests/testthat/test_correct_typos.R | 9 +++++++++ 8 files changed, 30 insertions(+), 18 deletions(-)
Title: Generalized Survival Models
Description: R implementation of generalized survival models, where g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth. For fully parametric models, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects.
Author: Mark Clements [aut, cre], Xing-Rong Liu [aut], Paul Lambert [ctb]
Maintainer: Mark Clements <mark.clements@ki.se>
Diff between rstpm2 versions 1.3.2 dated 2016-04-13 and 1.3.4 dated 2016-10-09
DESCRIPTION | 10 MD5 | 46 + NAMESPACE | 6 R/pm2-3.R | 622 ++++++++++++++------ R/tvc.coxph.R |only inst/Rcpp-tests.R |only inst/doc/Introduction.R | 41 - inst/doc/Introduction.Rnw | 35 - inst/doc/Introduction.pdf |binary inst/ihe-expect-utilities-males.png |only inst/ihe-expected-utilites.png |only inst/test.do |only inst/tvc-cox.R |only inst/working_code.R | 407 +++++++++++++ man/cox.tvc.Rd |only man/predict-methods.Rd | 5 man/pstpm2-class.Rd | 1 man/pstpm2.Rd | 32 - man/stpm2.Rd | 24 man/tvcCoxph-class.Rd |only src/RuniqueCombs.c |only src/RuniqueCombs.h |only src/bspline.c |only src/c_optim.cpp | 109 +++ src/c_optim.h | 10 src/cox_ph.cpp |only src/gsl_bspline.c |only src/gsl_bspline.h |only src/test-nmmin.cpp | 1068 ++++++++++++++++++++++-------------- vignettes/Introduction.Rnw | 35 - vignettes/auto/Introduction.el | 27 31 files changed, 1751 insertions(+), 727 deletions(-)
Title: Permutation Based QQ Plot and Inflation Factor Estimation
Description: Provides users the necessary utility functions to generate permutation-based QQ plots and also estimate inflation factor based on the empirical NULL distribution. While it has general utility, it is particularly helpful when the skewness of the Fisher's Exact test in sparse data situations with imbalanced case-control sample sizes renders the reliance on the uniform chi-square expected distribution inappropriate.
Author: Slave Petrovski and Quanli Wang
Maintainer: Quanli Wang <quanli@stat.duke.edu>
Diff between QQperm versions 1.0 dated 2016-09-26 and 1.0.1 dated 2016-10-09
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/IGM.R | 4 ++++ R/QQ.R | 4 ++-- demo/example.R | 2 +- 5 files changed, 15 insertions(+), 11 deletions(-)
Title: Functions that Apply to Rows and Columns of Matrices (and to
Vectors)
Description: High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
Author: Henrik Bengtsson [aut, cre, cph], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between matrixStats versions 0.50.2 dated 2016-04-24 and 0.51.0 dated 2016-10-09
matrixStats-0.50.2/matrixStats/R/rowMedians.S4.R |only matrixStats-0.51.0/matrixStats/DESCRIPTION | 12 matrixStats-0.51.0/matrixStats/MD5 | 84 - matrixStats-0.51.0/matrixStats/NAMESPACE | 7 matrixStats-0.51.0/matrixStats/NEWS | 8 matrixStats-0.51.0/matrixStats/R/allocMatrix.R | 6 matrixStats-0.51.0/matrixStats/R/anyMissing.R | 6 matrixStats-0.51.0/matrixStats/R/binCounts.R | 2 matrixStats-0.51.0/matrixStats/R/binMeans.R | 2 matrixStats-0.51.0/matrixStats/R/diff2.R | 2 matrixStats-0.51.0/matrixStats/R/indexByRow.R | 2 matrixStats-0.51.0/matrixStats/R/logSumExp.R | 3 matrixStats-0.51.0/matrixStats/R/meanOver.R | 2 matrixStats-0.51.0/matrixStats/R/product.R | 2 matrixStats-0.51.0/matrixStats/R/psortKM.R | 2 matrixStats-0.51.0/matrixStats/R/rowCounts.R | 18 matrixStats-0.51.0/matrixStats/R/rowCumsums.R | 16 matrixStats-0.51.0/matrixStats/R/rowDiffs.R | 4 matrixStats-0.51.0/matrixStats/R/rowLogSumExps.R | 10 matrixStats-0.51.0/matrixStats/R/rowMads.R | 4 matrixStats-0.51.0/matrixStats/R/rowMedians.R |only matrixStats-0.51.0/matrixStats/R/rowOrderStats.R | 4 matrixStats-0.51.0/matrixStats/R/rowRanges.R | 12 matrixStats-0.51.0/matrixStats/R/rowRanks.R | 4 matrixStats-0.51.0/matrixStats/R/rowVars.R | 4 matrixStats-0.51.0/matrixStats/R/signTabulate.R | 2 matrixStats-0.51.0/matrixStats/R/sumOver.R | 2 matrixStats-0.51.0/matrixStats/R/validateIndices.R | 4 matrixStats-0.51.0/matrixStats/R/weightedMean.R | 2 matrixStats-0.51.0/matrixStats/R/weightedMedian.R | 2 matrixStats-0.51.0/matrixStats/R/x_OP_y.R | 4 matrixStats-0.51.0/matrixStats/build/vignette.rds |binary matrixStats-0.51.0/matrixStats/inst/benchmarking/binMeans.md.rsp | 2 matrixStats-0.51.0/matrixStats/inst/doc/matrixStats-methods.html | 774 +++++----- matrixStats-0.51.0/matrixStats/inst/doc/matrixStats-methods.md.rsp | 2 matrixStats-0.51.0/matrixStats/man/anyMissing.Rd | 2 matrixStats-0.51.0/matrixStats/man/binMeans.Rd | 2 matrixStats-0.51.0/matrixStats/man/indexByRow.Rd | 2 matrixStats-0.51.0/matrixStats/man/matrixStats-package.Rd | 4 matrixStats-0.51.0/matrixStats/man/rowMedians.Rd | 4 matrixStats-0.51.0/matrixStats/src/allocMatrix2.c | 6 matrixStats-0.51.0/matrixStats/src/api.h |only matrixStats-0.51.0/matrixStats/src/init.c |only matrixStats-0.51.0/matrixStats/src/rowOrderStats.c | 2 matrixStats-0.51.0/matrixStats/vignettes/matrixStats-methods.md.rsp | 2 45 files changed, 516 insertions(+), 518 deletions(-)