Title: Extended Structural Equation Modelling
Description: Facilitates treatment of statistical model specifications
as things that can be generated and manipulated programmatically.
Structural equation models may be specified with reticular action model matrices or paths,
linear structural relations matrices or paths, or
directly in matrix algebra.
Fit functions include full information maximum likelihood,
maximum likelihood, and weighted least squares.
Example models include confirmatory factor, multiple group, mixture
distribution, categorical threshold, modern test theory, differential
equations, state space, and many others.
Author: Steven M. Boker [aut],
Michael C. Neale [aut],
Hermine H. Maes [aut],
Michael J. Wilde [ctb],
Michael Spiegel [aut],
Timothy R. Brick [aut],
Ryne Estabrook [aut],
Timothy C. Bates [aut],
Paras Mehta [ctb],
Timo von Oertzen [ctb],
Ross J. Gore [aut],
Michael D. Hunter [aut],
Daniel C. Hackett [ctb],
Julian Karch [ctb],
Andreas M. Brandmaier [ctb],
Joshua N. Pritikin [aut, cre],
Mahsa Zahery [aut],
Robert M. Kirkpatrick [aut],
Yang Wang [ctb],
Charles Driver [ctb],
Massachusetts Institute of Technology [cph],
S. G. Johnson [cph],
Association for Computing Machinery [cph],
Dieter Kraft [cph],
Stefan Wilhelm [cph],
Manjunath B G [cph]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>
Diff between OpenMx versions 2.7.11 dated 2017-05-05 and 2.7.12 dated 2017-06-16
DESCRIPTION | 18 - MD5 | 134 +++++---- NAMESPACE | 2 NEWS | 2 R/MxCompute.R | 63 ++++ R/MxDataWLS.R | 15 - R/MxEval.R | 70 ++--- R/MxExpectationLISREL.R | 18 - R/MxExpectationMixture.R |only R/MxExpectationNormal.R | 53 +++ R/MxFitFunctionML.R | 2 R/MxModel.R | 5 R/MxRun.R | 79 +++++ R/MxSaturatedModel.R | 3 R/MxSummary.R | 93 ++++++ R/MxTryHard.R | 4 R/MxVersion.R | 7 R/MxVersion.R.in | 5 R/cache.R | 1 configure | 4 inst/CITATION | 2 inst/models/failing/OrdinalLargeSample.R | 2 inst/models/nightly/NelderMeadUnitTesting.R | 8 inst/models/nightly/RAM-3Factor-24Indicators-covdata-a.R | 20 - inst/models/nightly/fm-example2-1.R | 2 inst/models/nightly/fm-example2-4.R | 2 inst/models/nightly/fm-example2-8.R | 6 inst/models/passing/BukinN2_regressiontest.R |only inst/models/passing/IntroSEM-BivariateRaw.R | 4 inst/models/passing/IntroSEM-OneFactorCov.R | 2 inst/models/passing/JointFIMLRegressionTest.R | 3 inst/models/passing/NelderMeadTest--ineqConstraints.R | 4 inst/models/passing/Rampart0.R |only inst/models/passing/Rampart1.R | 8 inst/models/passing/RawCov.R | 2 inst/models/passing/SimpleAlgebraCIs.R | 4 inst/models/passing/SimpleMix.R |only inst/models/passing/data/heck-thomas-2015ch4.rda |only inst/models/passing/heck-thomas-2015ch4.R |only inst/models/passing/joinErrors.R | 6 inst/models/passing/jointFactorWls.R | 4 inst/models/passing/lmer-1.R | 9 inst/models/passing/test_mxBootstrapStdizeRAMpaths.R |only man/as.statusCode.Rd |only man/imxReportProgress.Rd | 27 + man/mxBootstrap.Rd | 4 man/mxBootstrapEval.Rd | 18 + man/mxBootstrapStdizeRAMpaths.Rd |only man/mxComputeBootstrap.Rd | 3 man/mxComputeGenerateData.Rd |only man/mxComputeNelderMead.Rd | 10 man/mxExpectationHiddenMarkov.Rd | 4 man/mxExpectationMixture.Rd |only man/mxGenerateData.Rd | 6 man/mxStandardizeRAMpaths.Rd | 4 man/omxGetBootstrapReplications.Rd |only man/summary.MxModel.Rd | 16 - src/Compute.cpp | 56 +++- src/ComputeNM.cpp | 52 ++- src/ComputeNM.h | 4 src/ComputeNR.cpp | 18 - src/MarkovExpectation.cpp | 21 + src/MarkovFF.cpp | 8 src/RAMInternal.h | 13 src/omxData.cpp | 26 + src/omxData.h | 2 src/omxExpectation.cpp | 6 src/omxExpectation.h | 2 src/omxFIMLFitFunction.cpp | 8 src/omxHessianCalculation.cpp | 13 src/omxMLFitFunction.cpp | 3 src/omxRAMExpectation.cpp | 207 ++++++++++++++- src/omxState.h | 4 src/ssMLFit.cpp | 22 + 74 files changed, 927 insertions(+), 296 deletions(-)
Title: Interpolation Methods
Description: Bivariate data interpolation on regular and irregular
grids, either linear or using splines are the main part of this
package. It is intended to provide FOSS replacement functions for
the ACM licensed akima::interp and tripack::tri.mesh functions.
Currently the piecewise linear interpolation part of akima::interp
(and also akima::interpp) is implemented in interp::interp, this
corresponds to the call akima::interp(..., linear=TRUE) which is the
default setting and covers most of akima::interp use cases in
depending packages. A re-implementation of Akimas spline
interpolation (akima::interp(..., linear=FALSE)) is currently under
development and will complete this package in a later
version. Estimators for partial derivatives are already available,
these are a prerequisite for the spline interpolation. The basic
part is currently a GPLed triangulation algorithm (sweep hull
algorithm by David Sinclair) providing the starting point for the
piecewise linear interpolator. As side effect this algorithm is also
used to provide replacements for the basic functions of the tripack
package which also suffer from the ACM restrictions. All functions
are designed to be backward compatible with their akima / tripack
counterparts.
Author: Albrecht Gebhardt [aut, cre, cph] (...),
Roger Bivand [aut],
David Sinclair [aut, cph]
Maintainer: Albrecht Gebhardt <albrecht.gebhardt@aau.at>
Diff between interp versions 1.0-27 dated 2017-06-16 and 1.0-28 dated 2017-06-16
DESCRIPTION | 30 ++++++++++++++++++++++++------ MD5 | 4 ++-- src/shullDeltri.cpp | 36 ++++++++++++++++++------------------ 3 files changed, 44 insertions(+), 26 deletions(-)
Title: Dynamic Modeling in R
Description: Intensive longitudinal data have become increasingly prevalent in
various scientific disciplines. Many such data sets are noisy, multivariate,
and multi-subject in nature. The change functions may also be continuous, or
continuous but interspersed with periods of discontinuities (i.e., showing
regime switches). The package 'dynr' (Dynamic Modeling in R) is an R package
that implements a set of computationally efficient algorithms for handling a
broad class of linear and nonlinear discrete- and continuous-time models with
regime-switching properties under the constraint of linear Gaussian measurement
functions. The discrete-time models can generally take on the form of a state-
space or difference equation model. The continuous-time models are generally
expressed as a set of ordinary or stochastic differential equations. All
estimation and computations are performed in C, but users are provided with the
option to specify the model of interest via a set of simple and easy-to-learn
model specification functions in R. Model fitting can be performed using single-
subject time series data or multiple-subject longitudinal data.
Author: Lu Ou [aut],
Michael D. Hunter [aut, cre],
Sy-Miin Chow [aut]
Maintainer: Michael D. Hunter <mhunter.ou@gmail.com>
Diff between dynr versions 0.1.10-10 dated 2017-05-21 and 0.1.11-2 dated 2017-06-16
DESCRIPTION | 10 ++-- MD5 | 36 ++++++++------- NEWS | 13 +++++ R/dataDoc.R | 50 +++++++++++++++++++++ R/dynrCook.R | 4 + R/dynrData.R | 2 R/dynrModel.R | 4 + R/dynrRecipe.R | 87 +++++++++++++++++++++++++++++++------- R/dynrVersion.R | 2 README.md |only build/partial.rdb |binary build/vignette.rds |binary data/LogisticSetPointSDE.txt.gz |only data/datalist | 1 demo/00Index | 4 + demo/SDETVP.R |only inst/doc/InstallationForUsers.pdf |binary man/LogisticSetPointSDE.Rd |only man/dynr.model.Rd | 2 man/prep.formulaDynamics.Rd | 6 +- man/prep.initial.Rd | 2 21 files changed, 180 insertions(+), 43 deletions(-)
Title: Detection of Differential Item Functioning (DIF) and
Differential Distractor Functioning (DDF) by Non-Linear
Regression Models
Description: Detection of DIF among dichotomously scored items and DDF among unscored items with non-linear regression procedures based on generalized logistic regression models.
Author: Adela Drabinova [aut, cre], Patricia Martinkova [aut], Karel Zvara [aut]
Maintainer: Adela Drabinova <adela.drabinova@gmail.com>
Diff between difNLR versions 1.0.2 dated 2017-06-06 and 1.0.3 dated 2017-06-16
DESCRIPTION | 8 +++--- MD5 | 64 +++++++++++++++++++++++++------------------------- NEWS | 8 ++++++ R/GMAT.R | 7 +++-- R/GMAT2.R | 6 +++- R/GMAT2key.R | 4 +-- R/GMAT2test.R | 4 +-- R/GMATkey.R | 7 +++-- R/GMATtest.R | 7 +++-- R/NLR.R | 6 +++- R/ddfMLR.R | 3 ++ R/difMedical.R | 2 - R/difMedicalkey.R | 2 - R/difMedicaltest.R | 3 +- R/difNLR-package.R | 17 ++++++++----- R/difNLR.R | 6 +++- R/genNLR.R | 3 +- R/startNLR.R | 3 +- README.md | 2 - man/GMAT.Rd | 7 +++-- man/GMAT2.Rd | 6 +++- man/GMAT2key.Rd | 4 +-- man/GMAT2test.Rd | 4 +-- man/GMATkey.Rd | 7 +++-- man/GMATtest.Rd | 7 +++-- man/NLR.Rd | 6 +++- man/difMedical.Rd | 2 - man/difMedicalkey.Rd | 2 - man/difMedicaltest.Rd | 3 +- man/difNLR-package.Rd | 17 ++++++++----- man/difNLR.Rd | 6 +++- man/genNLR.Rd | 3 +- man/startNLR.Rd | 3 +- 33 files changed, 148 insertions(+), 91 deletions(-)
Title: Templates for Data Frames
Description: Generate data frames from templates.
Author: William Michael Landau [aut, cre]
Maintainer: William Michael Landau <will.landau@gmail.com>
Diff between wildcard versions 1.0.0 dated 2017-05-21 and 1.0.1 dated 2017-06-16
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- R/ui.R | 4 ++-- inst/doc/wildcard.R | 3 ++- inst/doc/wildcard.Rmd | 3 ++- inst/doc/wildcard.html | 23 +++++++++++++++++++++-- man/wildcard.Rd | 2 +- tests/testthat/test-wildcard.R | 9 +++++++++ vignettes/wildcard.Rmd | 3 ++- 9 files changed, 51 insertions(+), 20 deletions(-)
Title: Tools for Quantitative Risk Management
Description: Functions and data sets for reproducing selected results from
the book "Quantitative Risk Management: Concepts, Techniques and Tools".
Furthermore, new developments and auxiliary functions for Quantitative
Risk Management practice.
Author: Marius Hofert [aut, cre],
Kurt Hornik [aut],
Alexander J. McNeil [aut]
Maintainer: Marius Hofert <marius.hofert@uwaterloo.ca>
Diff between qrmtools versions 0.0-6 dated 2016-05-29 and 0.0-7 dated 2017-06-16
qrmtools-0.0-6/qrmtools/R/VaR_bounds.R |only qrmtools-0.0-6/qrmtools/man/VaR_bounds.Rd |only qrmtools-0.0-6/qrmtools/man/density_plot_matrix.Rd |only qrmtools-0.0-6/qrmtools/man/plot_NA.Rd |only qrmtools-0.0-6/qrmtools/man/plot_matrix.Rd |only qrmtools-0.0-7/qrmtools/DESCRIPTION | 21 qrmtools-0.0-7/qrmtools/MD5 | 77 - qrmtools-0.0-7/qrmtools/NAMESPACE | 23 qrmtools-0.0-7/qrmtools/R/ARMA_GARCH.R | 19 qrmtools-0.0-7/qrmtools/R/Black_Scholes.R | 6 qrmtools-0.0-7/qrmtools/R/GEV.R | 14 qrmtools-0.0-7/qrmtools/R/GPD.R | 77 - qrmtools-0.0-7/qrmtools/R/VaR_ES_bounds.R |only qrmtools-0.0-7/qrmtools/R/catch.R | 4 qrmtools-0.0-7/qrmtools/R/composite.R | 26 qrmtools-0.0-7/qrmtools/R/get_data.R | 53 qrmtools-0.0-7/qrmtools/R/graphics.R | 189 ++ qrmtools-0.0-7/qrmtools/R/returns.R | 113 + qrmtools-0.0-7/qrmtools/R/risk_measures.R | 155 ++ qrmtools-0.0-7/qrmtools/TODO | 17 qrmtools-0.0-7/qrmtools/build/vignette.rds |binary qrmtools-0.0-7/qrmtools/inst/doc/ARMA_GARCH_VaR.R | 28 qrmtools-0.0-7/qrmtools/inst/doc/ARMA_GARCH_VaR.Rmd | 34 qrmtools-0.0-7/qrmtools/inst/doc/ARMA_GARCH_VaR.html | 70 - qrmtools-0.0-7/qrmtools/inst/doc/VaR_bounds.R | 513 +++---- qrmtools-0.0-7/qrmtools/inst/doc/VaR_bounds.Rmd | 558 ++++---- qrmtools-0.0-7/qrmtools/inst/doc/VaR_bounds.html | 679 ++++------ qrmtools-0.0-7/qrmtools/inst/doc/geometric_risk_measures.R |only qrmtools-0.0-7/qrmtools/inst/doc/geometric_risk_measures.Rmd |only qrmtools-0.0-7/qrmtools/inst/doc/geometric_risk_measures.html |only qrmtools-0.0-7/qrmtools/man/ARMA_GARCH.Rd | 25 qrmtools-0.0-7/qrmtools/man/Black_Scholes.Rd | 2 qrmtools-0.0-7/qrmtools/man/GEV.Rd | 20 qrmtools-0.0-7/qrmtools/man/GPD.Rd | 44 qrmtools-0.0-7/qrmtools/man/NA_plot.Rd |only qrmtools-0.0-7/qrmtools/man/VaR_ES_bounds.Rd |only qrmtools-0.0-7/qrmtools/man/catch.Rd | 10 qrmtools-0.0-7/qrmtools/man/get_data.Rd | 42 qrmtools-0.0-7/qrmtools/man/matrix_density_plot.Rd |only qrmtools-0.0-7/qrmtools/man/matrix_plot.Rd |only qrmtools-0.0-7/qrmtools/man/pp_qq_plot.Rd |only qrmtools-0.0-7/qrmtools/man/returns.Rd | 145 +- qrmtools-0.0-7/qrmtools/man/risk_measures.Rd | 195 ++ qrmtools-0.0-7/qrmtools/src/VaR_bounds.c | 20 qrmtools-0.0-7/qrmtools/vignettes/ARMA_GARCH_VaR.Rmd | 34 qrmtools-0.0-7/qrmtools/vignettes/VaR_bounds.Rmd | 558 ++++---- qrmtools-0.0-7/qrmtools/vignettes/geometric_risk_measures.Rmd |only 47 files changed, 2168 insertions(+), 1603 deletions(-)
Title: Tidy RSS for R
Description: With the objective of including data from RSS feeds into your analysis, 'tidyRSS' parses RSS and Atom XML feeds and returns a tidy data frame.
Author: Robert Myles McDonnell
Maintainer: Robert Myles McDonnell <robertmylesmcdonnell@gmail.com>
Diff between tidyRSS versions 1.2.0 dated 2017-06-07 and 1.2.1 dated 2017-06-16
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS.md | 7 +++++++ R/tidyfeed.R | 25 +++++++++++++++---------- R/zzz.R | 2 +- inst/doc/tidyrss.html | 4 ++-- man/tidyfeed.Rd | 5 ----- tests/testthat/test.feeds.R | 9 +++------ 8 files changed, 39 insertions(+), 35 deletions(-)
More information about CityWaterBalance at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-02-07 1.2.0
2016-09-17 1.0.1
Title: Download Qualtrics Survey Data Directly into R
Description: Qualtrics <https://www.qualtrics.com/about/>
allows users to collect online data through surveys.
This package contains convenience functions to pull
survey results straight into R using the Qualtrics
API. See <https://api.qualtrics.com/> for more
information about the Qualtrics API.
Author: Jasper Ginn
Maintainer: Jasper Ginn <jasperginn@gmail.com>
Diff between qualtRics versions 1.0 dated 2017-04-26 and 2.0 dated 2017-06-16
qualtRics-1.0/qualtRics/R/registerApiKey.R |only qualtRics-1.0/qualtRics/man/registerApiKey.Rd |only qualtRics-1.0/qualtRics/tests/testthat/test-missing_root_url.R |only qualtRics-2.0/qualtRics/DESCRIPTION | 9 qualtRics-2.0/qualtRics/MD5 | 54 +- qualtRics-2.0/qualtRics/NAMESPACE | 7 qualtRics-2.0/qualtRics/R/assertions.R | 87 ++++ qualtRics-2.0/qualtRics/R/getSurvey.R | 107 ++++- qualtRics-2.0/qualtRics/R/getSurveyQuestions.R |only qualtRics-2.0/qualtRics/R/getSurveys.R | 48 +- qualtRics-2.0/qualtRics/R/qualtRicsConfigFile.R |only qualtRics-2.0/qualtRics/R/readSurvey.R | 40 +- qualtRics-2.0/qualtRics/R/registerOptions.R |only qualtRics-2.0/qualtRics/R/utils.R | 188 ++++++---- qualtRics-2.0/qualtRics/R/zzz.R |only qualtRics-2.0/qualtRics/inst/doc/qualtRics.Rmd | 133 ++++++- qualtRics-2.0/qualtRics/inst/doc/qualtRics.html | 117 +++++- qualtRics-2.0/qualtRics/man/getSurvey.Rd | 61 ++- qualtRics-2.0/qualtRics/man/getSurveyQuestions.Rd |only qualtRics-2.0/qualtRics/man/getSurveys.Rd | 28 - qualtRics-2.0/qualtRics/man/qualtRicsConfigFile.Rd |only qualtRics-2.0/qualtRics/man/readSurvey.Rd | 10 qualtRics-2.0/qualtRics/man/registerOptions.Rd |only qualtRics-2.0/qualtRics/tests/testthat/test-assert_register_api_key.R | 7 qualtRics-2.0/qualtRics/tests/testthat/test-checkParams_checks_work.R |only qualtRics-2.0/qualtRics/tests/testthat/test-exist_save_directory.R |only qualtRics-2.0/qualtRics/tests/testthat/test-expect_filename_error.R |only qualtRics-2.0/qualtRics/tests/testthat/test-expect_limit_abovezero.R |only qualtRics-2.0/qualtRics/tests/testthat/test-getSurveyQuestions_throws_error.R |only qualtRics-2.0/qualtRics/tests/testthat/test-getSurvey_reads_stored_survey.R |only qualtRics-2.0/qualtRics/tests/testthat/test-getSurvey_throws_error.R | 9 qualtRics-2.0/qualtRics/tests/testthat/test-getSurveys_throws_error.R | 6 qualtRics-2.0/qualtRics/tests/testthat/test-qualtRicsConfFile_message_works.R |only qualtRics-2.0/qualtRics/tests/testthat/test-readSurvey_reads_qualtrics_csv.R |only qualtRics-2.0/qualtRics/tests/testthat/test-registerOptions_reads_from_file.R |only qualtRics-2.0/qualtRics/tests/testthat/test-seenUnansweredRecode.R |only qualtRics-2.0/qualtRics/vignettes/config_step1.png |only qualtRics-2.0/qualtRics/vignettes/config_step2.png |only qualtRics-2.0/qualtRics/vignettes/qualtRics.Rmd | 133 ++++++- 39 files changed, 780 insertions(+), 264 deletions(-)
Title: Ordinal Regression Analysis for Continuous Scales
Description: A regression framework for response variables which are continuous
self-rating scales such as the Visual Analog Scale (VAS) used in pain
assessment, or the Linear Analog Self-Assessment (LASA) scales in quality
of life studies. These scales measure subjects' perception of an intangible
quantity, and cannot be handled as ratio variables because of their inherent
non-linearity. We treat them as ordinal variables, measured on a continuous
scale. A function (the g function) connects the scale with an underlying
continuous latent variable. The link function is the inverse of the CDF of the
assumed underlying distribution of the latent variable. Currently the logit
link, which corresponds to a standard logistic distribution, is implemented.
Author: Maurizio Manuguerra [aut, cre],
Gillian Heller [aut]
Maintainer: Maurizio Manuguerra <maurizio.manuguerra@mq.edu.au>
Diff between ordinalCont versions 1.0.2 dated 2016-12-15 and 1.2 dated 2017-06-16
DESCRIPTION | 8 - MD5 | 43 ++++---- NEWS |only R/ocm.R | 84 +++++++++++----- R/ocm.methods.R | 227 +++++++++++++++++++++++++-------------------- R/splines.R | 1 R/utils.R | 34 +++++- man/ANZ0001.Rd | 1 man/ANZ0001.sub.Rd | 1 man/anova.ocm.Rd | 1 man/extractAIC.ocm.Rd | 7 - man/logLik.ocm.Rd | 7 - man/negloglik4.Rd | 1 man/ocm.Rd | 10 + man/ordinalCont-package.Rd | 7 - man/plot.ocm.Rd | 16 +-- man/plot.predict.ocm.Rd | 7 - man/predict.ocm.Rd | 13 +- man/print.anova.ocm.Rd | 7 - man/print.ocm.Rd | 7 - man/print.predict.ocm.Rd | 7 - man/summary.ocm.Rd | 7 - man/vcov.ocm.Rd | 7 - 23 files changed, 292 insertions(+), 211 deletions(-)
Title: Generalized Correlations and Initial Causal Path
Description: Since causal paths from data are important for all sciences, the
package provides sophisticated functions. The idea is simply
that if X causes Y (path: X to Y) then non-deterministic variation in X
is more "original or independent" than similar variation in Y. We compare
two flipped kernel regressions: X=f(Y, Z) and Y=g(X,Z), where Z are control
variables. Our first two criteria compare absolute gradients (Cr1) and
absolute residuals (Cr2), both quantified by stochastic dominance of four
orders (SD1 to SD4). Our third criterion (Cr3) expects X to be better able
to predict Y than the other way around using generalized partial correlation
If |r*(x|y)|> |r*(y|x)| it suggests that y is more likely
the "kernel cause" of x. The usual partial correlations are generalized for
the asymmetric matrix of r*'s developed here.
Partial correlations help asses effect of x on y after removing the effect of a
set of variables.
The package provides additional tools for causal assessment,
for printing the causal directions in a clear, comprehensive compact summary form,
for matrix algebra, for "outlier detection", and for numerical integration by the
trapezoidal rule, stochastic dominance, etc.
The package has functions for bootstrap-based statistical inference and one
for a heuristic t-test.
Author: Prof. H. D. Vinod, Fordham University, NY.
Maintainer: H. D. Vinod <vinod@fordham.edu>
Diff between generalCorr versions 1.0.4 dated 2017-06-08 and 1.0.5 dated 2017-06-16
generalCorr-1.0.4/generalCorr/vignettes/generalCorr-vignette2.pdf |only generalCorr-1.0.5/generalCorr/DESCRIPTION | 8 - generalCorr-1.0.5/generalCorr/MD5 | 48 +++++----- generalCorr-1.0.5/generalCorr/NAMESPACE | 1 generalCorr-1.0.5/generalCorr/NEWS | 7 + generalCorr-1.0.5/generalCorr/R/bootPairs.R | 2 generalCorr-1.0.5/generalCorr/R/causeSummary.R | 48 ++++++---- generalCorr-1.0.5/generalCorr/R/generalCorrInfo.R | 5 - generalCorr-1.0.5/generalCorr/R/kern_ctrl.R | 3 generalCorr-1.0.5/generalCorr/R/naTriplet.R | 6 - generalCorr-1.0.5/generalCorr/R/prelec2.R | 2 generalCorr-1.0.5/generalCorr/R/silentMtx.R |only generalCorr-1.0.5/generalCorr/R/silentPairs.R | 12 +- generalCorr-1.0.5/generalCorr/build/vignette.rds |binary generalCorr-1.0.5/generalCorr/inst/doc/generalCorr-vignette.pdf |binary generalCorr-1.0.5/generalCorr/inst/doc/generalCorr-vignette.pdf.asis | 1 generalCorr-1.0.5/generalCorr/inst/doc/generalCorr-vignette2.pdf |only generalCorr-1.0.5/generalCorr/inst/doc/generalCorr-vignette2.pdf.asis |only generalCorr-1.0.5/generalCorr/man/bootPairs.Rd | 2 generalCorr-1.0.5/generalCorr/man/causeSummary.Rd | 46 ++++++--- generalCorr-1.0.5/generalCorr/man/generalCorrInfo.Rd | 5 - generalCorr-1.0.5/generalCorr/man/kern_ctrl.Rd | 3 generalCorr-1.0.5/generalCorr/man/naTriplet.Rd | 6 - generalCorr-1.0.5/generalCorr/man/prelec2.Rd | 2 generalCorr-1.0.5/generalCorr/man/silentMtx.Rd |only generalCorr-1.0.5/generalCorr/man/silentPairs.Rd | 12 +- generalCorr-1.0.5/generalCorr/vignettes/generalCorr-vignette.pdf.asis | 1 generalCorr-1.0.5/generalCorr/vignettes/generalCorr-vignette2.pdf.asis |only 28 files changed, 131 insertions(+), 89 deletions(-)
Title: Compares EI, Goodman, RxC Estimates
Description: Compares estimates from three ecological inference routines, based on King (1997) <ISBN: 0691012407>, <http://gking.harvard.edu/eicamera/kinroot.html>; King et. al. (2004) <ISBN: 0521542804>, <http://gking.harvard.edu/files/abs/ecinf04-abs.shtml>.
Author: Loren Collingwood
Maintainer: Loren Collingwood <loren.collingwood@ucr.edu>
Diff between eiCompare versions 1.9 dated 2017-03-07 and 2.1 dated 2017-06-16
DESCRIPTION | 10 +++++----- MD5 | 9 +++++++-- R/ei.reg.bayes.conf.int.R |only R/ei_rc_congruence.R |only inst/doc/eiCompare-manual.pdf |binary inst/extdata |only man/ei.reg.bayes.conf.int.Rd |only man/ei_rc_congruence.Rd |only 8 files changed, 12 insertions(+), 7 deletions(-)
Title: Find Data-Only Packages on CRAN
Description: Provides a data frame listing of known data-only and data-heavy
packages available on CRAN.
Author: Thomas J. Leeper [aut, cre]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>
Diff between crandatapkgs versions 0.1.7 dated 2017-03-26 and 0.1.8 dated 2017-06-16
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- inst/packages/packages | 4 ++++ 3 files changed, 10 insertions(+), 6 deletions(-)
Title: Computerized Adaptive Testing for Survey Research
Description: Provides methods of computerized adaptive testing for survey researchers. Includes functionality for data fit with the classic item response methods including the latent trait model, Birnbaum`s three parameter model, the graded response, and the generalized partial credit model. Additionally, includes several ability parameter estimation and item selection routines. During item selection, all calculations are done in compiled C++ code.
Author: Jacob Montgomery [aut],
Erin Rossiter [aut, cre]
Maintainer: Erin Rossiter <erinrossiter@wustl.edu>
Diff between catSurv versions 1.0.0 dated 2017-06-15 and 1.0.1 dated 2017-06-16
DESCRIPTION | 6 ++--- MD5 | 15 +++++++------- NEWS.md |only src/Cat.cpp | 4 +-- src/EAPEstimator.cpp | 2 - src/Estimator.cpp | 54 ++++++++++++++++++++++++++------------------------- src/MAPEstimator.cpp | 4 +-- src/MLEEstimator.cpp | 2 - src/WLEEstimator.cpp | 6 ++--- 9 files changed, 48 insertions(+), 45 deletions(-)
Title: Dual-Agent Dose Escalation for Phase I Trials using the PIPE
Design
Description: Implements the Product of Independent beta Probabilities dose Escalation (PIPE) design for dual-agent Phase I trials as described in Mander AP, Sweeting MJ (2015) <DOI:10.1002/sim.6434>.
Author: Michael Sweeting
Maintainer: Michael Sweeting <mjs212@medschl.cam.ac.uk>
Diff between pipe.design versions 0.5 dated 2017-05-01 and 0.5.1 dated 2017-06-16
pipe.design-0.5.1/pipe.design/DESCRIPTION | 8 pipe.design-0.5.1/pipe.design/MD5 | 16 - pipe.design-0.5.1/pipe.design/NAMESPACE | 2 pipe.design-0.5.1/pipe.design/NEWS | 9 + pipe.design-0.5.1/pipe.design/R/pipe.design_0.5.1.R |only pipe.design-0.5.1/pipe.design/inst/shiny/shinyPIPE/server.R | 23 ++ pipe.design-0.5.1/pipe.design/inst/shiny/shinyPIPE/ui.R | 107 +++++++++++- pipe.design-0.5.1/pipe.design/man/pipe.design.Rd | 39 +--- pipe.design-0.5.1/pipe.design/man/print.pipe.Rd | 8 pipe.design-0.5/pipe.design/R/pipe.design_0.5.R |only 10 files changed, 170 insertions(+), 42 deletions(-)
Title: Process Digital Images of a Vegetation Cover
Description: A collection of functions to process digital images, depict greenness index trajectories and extract relevant phenological stages.
Author: Gianluca Filippa, Edoardo Cremonese, Mirco Migliavacca, Marta Galvagno, Matthias Folker, Andrew D. Richardson, Enrico Tomelleri
Maintainer: Gianluca Filippa <gian.filippa@gmail.com>
Diff between phenopix versions 2.3 dated 2017-06-15 and 2.3.1 dated 2017-06-16
DESCRIPTION | 8 ++++---- MD5 | 30 +++++++++++++++--------------- man/PhenoDeriv.Rd | 2 ++ man/PhenoExtract.Rd | 2 +- man/PhenoGu.Rd | 2 ++ man/PhenoKl.Rd | 2 ++ man/PhenoPlot.Rd | 2 ++ man/PhenoTrs.Rd | 3 ++- man/SplineFit.Rd | 2 ++ man/autoFilter.Rd | 3 ++- man/bartlett2009.processed.Rd | 2 ++ man/combineUncertainty.Rd | 2 +- man/fitted.phenopix.Rd | 3 ++- man/get.options.Rd | 2 ++ man/print.phenopix.Rd | 3 ++- man/update.phenopix.Rd | 3 ++- 16 files changed, 45 insertions(+), 26 deletions(-)
Title: General Frailty Models: Shared, Joint and Nested Frailty Models
with Prediction
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package:
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 the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed.
5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms.
6) Joint Nested frailty models in the context of the joint modelling for recurrent events with terminal event, for hierarchically clustered data (with two levels of clustering) by including two iid gamma random effects.
7) Multivariate joint frailty models for two types of recurrent events and a terminal event.
8) Joint models for longitudinal data and a terminal event.
9) Trivariate joint models for longitudinal data, recurrent events and a terminal event.
Prediction values are available (for a terminal event or for a new recurrent event). 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 the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). 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, Amadou Diakite, Alexandre Laurent and Myriam Lopez
Maintainer: Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>
Diff between frailtypack versions 2.11.1 dated 2017-03-21 and 2.12.1 dated 2017-06-16
DESCRIPTION | 13 MD5 | 83 +- NAMESPACE | 8 NEWS | 15 R/epoce.R | 736 +++++++++++++++++++++++++ R/frailtyPenal.R | 5 R/longiPenal.R | 111 +-- R/plot.trivPenalNL.R |only R/prediction.R | 928 ++++++++++++++++++++++++++++++-- R/print.trivPenalNL.R |only R/summary.trivPenalNL.R |only R/trivPenal.R | 144 +---- R/trivPenalNL.R |only build/vignette.rds |binary inst/doc/Package_summary.html | 945 ++++++++++++++++++--------------- man/epoce.Rd | 41 + man/frailtyPenal.Rd | 5 man/longiPenal.Rd | 9 man/plotTrivPenal.Rd | 10 man/plotTrivPenalNL.Rd |only man/prediction.Rd | 110 ++- man/printTrivPenalNL.Rd |only man/summaryTrivPenalNL.Rd |only man/trivPenal.Rd | 20 man/trivPenalNL.Rd |only src/Aparameters.f90 | 35 - src/Makevars | 9 src/afuncpasres.f90 | 800 +++++++++++++++++++++++++--- src/ahrmsym.f90 | 4 src/aresidusMartingale.f90 | 347 ++++++++++-- src/epoce_long.f90 | 405 +++----------- src/epoce_long_nl.f90 |only src/frailtypack.f90 | 2 src/frailtypack.h | 52 + src/funcpajlongisplines.f90 | 155 +---- src/funcpajlongisplines_nl.f90 |only src/funcpajlongiweib.f90 | 127 +--- src/funcpajlongiweib_nl.f90 |only src/funcpalongi_uni.f90 |only src/init.c | 8 src/joint_longi.f90 | 1169 +++++++++++++++++++++++++++++------------ src/joint_longi_nl.f90 |only src/longi_uni_nl.f90 |only src/nested.f90 | 2 src/prediction.f90 | 49 + src/prediction_Recurr_Sha.f90 | 4 src/prediction_biv.f90 | 532 +++++++++++++----- src/prediction_tri.f90 | 513 +++++++++++++---- src/prediction_tri_nl.f90 |only src/predictionfam.f90 | 126 ++-- 50 files changed, 5436 insertions(+), 2086 deletions(-)
Title: Fine-Scale Population Analysis
Description: Statistical tool set for population genetics. The package provides following functions: 1) empirical Bayes estimator of Fst and other measures of genetic differentiation, 2) regression analysis of environmental effects on genetic differentiation using bootstrap method, 3) interfaces to read and manipulate 'GENEPOP' format data files and allele/haplotype frequency format files.
Author: Reiichiro Nakamichi, Hirohisa Kishino, Shuichi Kitada
Maintainer: Reiichiro Nakamichi <nakamichi@affrc.go.jp>
Diff between FinePop versions 1.3.0 dated 2017-02-10 and 1.4.0 dated 2017-06-16
FinePop-1.3.0/FinePop/data/data.JSM.rda |only FinePop-1.3.0/FinePop/man/data.JSM.Rd |only FinePop-1.4.0/FinePop/DESCRIPTION | 10 ++--- FinePop-1.4.0/FinePop/MD5 | 44 ++++++++++++++----------- FinePop-1.4.0/FinePop/NAMESPACE | 5 +- FinePop-1.4.0/FinePop/R/FstBoot.R |only FinePop-1.4.0/FinePop/R/FstEnv.R |only FinePop-1.4.0/FinePop/R/clip.genepop.R | 4 +- FinePop-1.4.0/FinePop/R/print.summary.FstEnv.R |only FinePop-1.4.0/FinePop/R/summary.FstEnv.R |only FinePop-1.4.0/FinePop/build/partial.rdb |binary FinePop-1.4.0/FinePop/data/herring.rda |only FinePop-1.4.0/FinePop/data/jsmackerel.rda |only FinePop-1.4.0/FinePop/man/DJ.Rd | 6 +-- FinePop-1.4.0/FinePop/man/EBDJ.Rd | 8 ++-- FinePop-1.4.0/FinePop/man/EBFST.Rd | 11 +++--- FinePop-1.4.0/FinePop/man/EBGstH.Rd | 8 ++-- FinePop-1.4.0/FinePop/man/FinePop-package.Rd | 6 --- FinePop-1.4.0/FinePop/man/FstBoot.Rd |only FinePop-1.4.0/FinePop/man/FstEnv.Rd |only FinePop-1.4.0/FinePop/man/GstH.Rd | 6 +-- FinePop-1.4.0/FinePop/man/GstN.Rd | 6 +-- FinePop-1.4.0/FinePop/man/GstNC.Rd | 6 +-- FinePop-1.4.0/FinePop/man/clip.genepop.Rd | 4 +- FinePop-1.4.0/FinePop/man/herring.Rd |only FinePop-1.4.0/FinePop/man/jsmackerel.Rd |only FinePop-1.4.0/FinePop/man/read.frequency.Rd | 10 ++--- FinePop-1.4.0/FinePop/man/read.genepop.Rd | 6 +-- FinePop-1.4.0/FinePop/man/thetaWC.pair.Rd | 6 +-- 29 files changed, 76 insertions(+), 70 deletions(-)
Title: Test and Item Analysis via Shiny
Description: Interactive shiny application for analysis of educational tests and
their items.
Author: Patricia Martinkova [aut, cre], Adela Drabinova [aut], Ondrej Leder [aut], Jakub Houdek [aut], Lubomir Stepanek [ctb]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>
Diff between ShinyItemAnalysis versions 1.1.0 dated 2017-02-03 and 1.2.0 dated 2017-06-16
ShinyItemAnalysis-1.1.0/ShinyItemAnalysis/R/imports.R |only ShinyItemAnalysis-1.1.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/adela.jpg |only ShinyItemAnalysis-1.1.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/jakub.jpg |only ShinyItemAnalysis-1.1.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/patricia.jpg |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/DESCRIPTION | 25 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/MD5 | 103 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/NAMESPACE | 1 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/NEWS | 75 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/R/DDplot.R | 24 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/R/DistractorAnalysis.R | 62 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/R/dataMedical.R | 24 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/R/dataMedicalkey.R | 11 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/R/dataMedicaltest.R | 23 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/R/plotDIFLogistic.R | 24 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/R/plotDIFirt.R | 17 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/R/plotDistractorAnalysis.R | 31 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/R/startShinyItemAnalysis.R | 2 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/README.md | 38 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/data/dataMedical.rda |binary ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/data/dataMedicalkey.rda |binary ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/data/dataMedicaltest.rda |binary ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/CITATION |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/DDplot.R | 22 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/DistractorAnalysis.R | 61 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/counter.Rdata |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/google-analytics.js |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/plotDIFLogistic.R | 23 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/plotDIFirt.R | 137 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/plotDistractorAnalysis.R | 31 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/reporthtml.Rmd | 295 - ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/reportpdf.Rmd | 279 - ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/reportpdf.pdf |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/server.R | 2736 ++++++---- ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/startShinyItemAnalysis.R |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/ui.R | 1501 +++-- ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/Flag_of_the_Czech_Republic.png |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/Flag_of_the_United_States.png |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/Lubos.jpg |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/Rlogo.png |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/adela_new.png |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/bootstrap.css | 3 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/busy.js |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/busy_indicator.gif |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/cran_icon.png |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/flag-icon.css |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/flags |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/free_busy_indicator.gif |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/github_icon.png |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/jakub_new.png |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/leder.png |binary ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/margins_and_paddings.css |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/patricia_new.png |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/report_downloading_message.js |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/report_generating_message.js |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/style.css |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/inst/shiny-examples/ShinyItemAnalysis/www/web_icon.png |only ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/man/DDplot.Rd | 8 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/man/DistractorAnalysis.Rd | 6 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/man/dataMedical.Rd | 33 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/man/dataMedicalkey.Rd | 21 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/man/dataMedicaltest.Rd | 32 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/man/plotDIFLogistic.Rd | 8 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/man/plotDIFirt.Rd | 19 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/man/plotDistractorAnalysis.Rd | 9 ShinyItemAnalysis-1.2.0/ShinyItemAnalysis/man/startShinyItemAnalysis.Rd | 3 65 files changed, 3561 insertions(+), 2126 deletions(-)
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