Thu, 23 Nov 2017

Package packcircles updated to version 0.3.0 with previous version 0.2.0 dated 2017-04-06

Title: Circle Packing
Description: Simple algorithms for circle packing.
Author: Michael Bedward [aut, cre], David Eppstein [aut] (Author of Python code for graph-based circle packing ported to C++ for this package), Peter Menzel [aut] (Author of C code for progressive circle packing ported to C++ for this package)
Maintainer: Michael Bedward <michael.bedward@gmail.com>

Diff between packcircles versions 0.2.0 dated 2017-04-06 and 0.3.0 dated 2017-11-23

 packcircles-0.2.0/packcircles/src/packcircles_init.c            |only
 packcircles-0.3.0/packcircles/DESCRIPTION                       |   10 
 packcircles-0.3.0/packcircles/LICENSE                           |    2 
 packcircles-0.3.0/packcircles/MD5                               |   77 -
 packcircles-0.3.0/packcircles/NAMESPACE                         |   25 
 packcircles-0.3.0/packcircles/NEWS.md                           |   69 -
 packcircles-0.3.0/packcircles/R/RcppExports.R                   |   34 
 packcircles-0.3.0/packcircles/R/circleGraphLayout.R             |  116 +-
 packcircles-0.3.0/packcircles/R/circleProgressiveLayout.R       |  166 +--
 packcircles-0.3.0/packcircles/R/circleRemoveOverlaps.R          |only
 packcircles-0.3.0/packcircles/R/circleRepelLayout.R             |  524 +++++-----
 packcircles-0.3.0/packcircles/R/circleVertices.R                |  322 +++---
 packcircles-0.3.0/packcircles/R/data.R                          |   26 
 packcircles-0.3.0/packcircles/R/packcircles.R                   |   42 
 packcircles-0.3.0/packcircles/README.md                         |   99 +
 packcircles-0.3.0/packcircles/build/vignette.rds                |binary
 packcircles-0.3.0/packcircles/inst/doc/graph_packing.R          |   80 -
 packcircles-0.3.0/packcircles/inst/doc/graph_packing.Rmd        |  124 +-
 packcircles-0.3.0/packcircles/inst/doc/graph_packing.html       |  268 ++---
 packcircles-0.3.0/packcircles/inst/doc/intro.R                  |  254 ++--
 packcircles-0.3.0/packcircles/inst/doc/intro.Rmd                |  420 ++++----
 packcircles-0.3.0/packcircles/inst/doc/intro.html               |  474 ++++-----
 packcircles-0.3.0/packcircles/inst/doc/progressive_packing.R    |  290 ++---
 packcircles-0.3.0/packcircles/inst/doc/progressive_packing.Rmd  |  436 ++++----
 packcircles-0.3.0/packcircles/inst/doc/progressive_packing.html |  489 ++++-----
 packcircles-0.3.0/packcircles/man/bacteria.Rd                   |   38 
 packcircles-0.3.0/packcircles/man/circleGraphLayout.Rd          |  132 +-
 packcircles-0.3.0/packcircles/man/circleLayout.Rd               |  104 -
 packcircles-0.3.0/packcircles/man/circleLayoutVertices.Rd       |  154 +-
 packcircles-0.3.0/packcircles/man/circlePlotData.Rd             |   64 -
 packcircles-0.3.0/packcircles/man/circleProgressiveLayout.Rd    |  110 +-
 packcircles-0.3.0/packcircles/man/circleRemoveOverlaps.Rd       |only
 packcircles-0.3.0/packcircles/man/circleRepelLayout.Rd          |  148 +-
 packcircles-0.3.0/packcircles/man/circleVertices.Rd             |   58 -
 packcircles-0.3.0/packcircles/man/packcircles.Rd                |   40 
 packcircles-0.3.0/packcircles/src/RcppExports.cpp               |   19 
 packcircles-0.3.0/packcircles/src/init.c                        |only
 packcircles-0.3.0/packcircles/src/pads_circle_pack.cpp          |    6 
 packcircles-0.3.0/packcircles/src/select_non_overlapping.cpp    |only
 packcircles-0.3.0/packcircles/vignettes/graph_packing.Rmd       |  124 +-
 packcircles-0.3.0/packcircles/vignettes/intro.Rmd               |  420 ++++----
 packcircles-0.3.0/packcircles/vignettes/progressive_packing.Rmd |  436 ++++----
 42 files changed, 3120 insertions(+), 3080 deletions(-)

More information about packcircles at CRAN
Permanent link

Package GFGM.copula updated to version 1.0.1 with previous version 1.0.0 dated 2017-10-27

Title: Generalized Farlie-Gumbel-Morgenstern Copula
Description: Compute bivariate dependence measures and perform bivariate competing risks analysis under the generalized Farlie-Gumbel-Morgenstern (FGM) copula. See Shih and Emura (2016) <doi:10.1007/s00362-016-0865-5> and Shih and Emura (2017, in re-submission) for details.
Author: Jia-Han Shih
Maintainer: Jia-Han Shih <tommy355097@gmail.com>

Diff between GFGM.copula versions 1.0.0 dated 2017-10-27 and 1.0.1 dated 2017-11-23

 DESCRIPTION               |   10 -
 MD5                       |   28 +-
 NAMESPACE                 |    8 
 R/CvM.GFGM.BurrIII.R      |only
 R/Depmeasure.GFGM.R       |   12 -
 R/GFGM.BurrIII.R          |only
 R/MLE.GFGM.BurrIII.R      |  443 +++++++++++++++++++++-------------------------
 R/MLE.GFGM.spline.R       |only
 R/Sdist.GFGM.BurrIII.R    |   64 +++---
 R/Sdist.GFGM.spline.R     |  193 ++++----------------
 build/partial.rdb         |binary
 man/CvM.GFGM.BurrIII.Rd   |only
 man/Dependence.GFGM.Rd    |   10 -
 man/GFGM.BurrIII.Rd       |only
 man/MLE.GFGM.BurrIII.Rd   |   40 +---
 man/MLE.GFGM.spline.Rd    |only
 man/Sdist.GFGM.BurrIII.Rd |   25 +-
 man/Sdist.GFGM.spline.Rd  |   57 +----
 18 files changed, 368 insertions(+), 522 deletions(-)

More information about GFGM.copula at CRAN
Permanent link

Package PracTools updated to version 0.7 with previous version 0.6 dated 2017-07-26

Title: Tools for Designing and Weighting Survey Samples
Description: Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
Author: Richard Valliant, Jill A. Dever, Frauke Kreuter
Maintainer: Richard Valliant <rvallian@umd.edu>

Diff between PracTools versions 0.6 dated 2017-07-26 and 0.7 dated 2017-11-23

 DESCRIPTION           |    8 ++++----
 MD5                   |   28 +++++++++++++++-------------
 R/wtdvar.R            |    8 ++++++--
 data/Domainy1y2.RData |binary
 data/MDarea.pop.RData |binary
 data/datalist         |    1 +
 data/hospital.RData   |binary
 data/labor.RData      |binary
 data/mibrfss.RData    |only
 data/nhis.RData       |binary
 data/nhis.large.RData |binary
 data/nhispart.RData   |binary
 data/smho.N874.RData  |binary
 data/smho98.RData     |binary
 man/mibrfss.Rd        |only
 man/wtdvar.Rd         |    7 ++++---
 16 files changed, 30 insertions(+), 22 deletions(-)

More information about PracTools at CRAN
Permanent link

Package sirt updated to version 2.3-57 with previous version 2.2-14 dated 2017-09-20

Title: Supplementary Item Response Theory Models
Description: Supplementary item response theory models to complement existing functions in R, including multidimensional compensatory and noncompensatory IRT models, MCMC for hierarchical IRT models and testlet models, NOHARM, Rasch copula model, faceted and hierarchical rater models, ordinal IRT model (ISOP), DETECT statistic, local structural equation modeling (LSEM).
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between sirt versions 2.2-14 dated 2017-09-20 and 2.3-57 dated 2017-11-23

 sirt-2.2-14/sirt/R/rm.facets_IC.R                                        |only
 sirt-2.2-14/sirt/R/rm.hrm.calcprobs.R                                    |only
 sirt-2.2-14/sirt/R/rm.hrm.est.tau.item.R                                 |only
 sirt-2.2-14/sirt/R/rm.sdt_alg.R                                          |only
 sirt-2.2-14/sirt/R/rm.smooth.distribution.R                              |only
 sirt-2.2-14/sirt/R/rm_proc.R                                             |only
 sirt-2.3-57/sirt/DESCRIPTION                                             |   14 
 sirt-2.3-57/sirt/MD5                                                     | 1143 +++++-----
 sirt-2.3-57/sirt/NAMESPACE                                               |    6 
 sirt-2.3-57/sirt/R/IRT.expectedCounts_sirt.R                             |    1 
 sirt-2.3-57/sirt/R/IRT.factor.scores.sirt.R                              |    1 
 sirt-2.3-57/sirt/R/IRT.factor.scores.xxirt.R                             |    1 
 sirt-2.3-57/sirt/R/IRT.irfprob.sirt.R                                    |    1 
 sirt-2.3-57/sirt/R/IRT.likelihood_sirt.R                                 |    1 
 sirt-2.3-57/sirt/R/IRT.mle.R                                             |    1 
 sirt-2.3-57/sirt/R/IRT.modelfit.sirt.R                                   |    1 
 sirt-2.3-57/sirt/R/IRT.posterior_sirt.R                                  |    1 
 sirt-2.3-57/sirt/R/Probtrace_sirt.R                                      |    1 
 sirt-2.3-57/sirt/R/Q3.R                                                  |    6 
 sirt-2.3-57/sirt/R/Q3.testlet.R                                          |    1 
 sirt-2.3-57/sirt/R/R2conquest.R                                          |    1 
 sirt-2.3-57/sirt/R/R2noharm-utility.R                                    |    1 
 sirt-2.3-57/sirt/R/R2noharm.EAP.R                                        |    1 
 sirt-2.3-57/sirt/R/R2noharm.R                                            |    1 
 sirt-2.3-57/sirt/R/R2noharm.jackknife.R                                  |    1 
 sirt-2.3-57/sirt/R/RcppExports.R                                         |    1 
 sirt-2.3-57/sirt/R/Rhat_sirt.R                                           |    1 
 sirt-2.3-57/sirt/R/amh_plot.R                                            |    1 
 sirt-2.3-57/sirt/R/anova_sirt.R                                          |    1 
 sirt-2.3-57/sirt/R/attach.environment.sirt.R                             |    1 
 sirt-2.3-57/sirt/R/automatic.recode.R                                    |    1 
 sirt-2.3-57/sirt/R/bounds_parameters.R                                   |    1 
 sirt-2.3-57/sirt/R/brm.irf.R                                             |    1 
 sirt-2.3-57/sirt/R/brm.sim.R                                             |    1 
 sirt-2.3-57/sirt/R/btm.R                                                 |    1 
 sirt-2.3-57/sirt/R/btm_fit.R                                             |    1 
 sirt-2.3-57/sirt/R/btm_fit_combine_tables.R                              |    1 
 sirt-2.3-57/sirt/R/categorize.R                                          |    1 
 sirt-2.3-57/sirt/R/ccov.np.R                                             |    1 
 sirt-2.3-57/sirt/R/class.accuracy.rasch.R                                |    1 
 sirt-2.3-57/sirt/R/conf.detect.R                                         |    1 
 sirt-2.3-57/sirt/R/confint.xxirt.R                                       |    1 
 sirt-2.3-57/sirt/R/create.ccov.R                                         |    1 
 sirt-2.3-57/sirt/R/data.prep.R                                           |    1 
 sirt-2.3-57/sirt/R/data.wide2long.R                                      |    1 
 sirt-2.3-57/sirt/R/decategorize.R                                        |    1 
 sirt-2.3-57/sirt/R/detect.index.R                                        |    1 
 sirt-2.3-57/sirt/R/diag2.R                                               |    1 
 sirt-2.3-57/sirt/R/dif.logisticregression.R                              |    1 
 sirt-2.3-57/sirt/R/dif.variance.R                                        |    1 
 sirt-2.3-57/sirt/R/dimproper.R                                           |    1 
 sirt-2.3-57/sirt/R/dirichlet.R                                           |    1 
 sirt-2.3-57/sirt/R/eigenvalues.manymatrices.R                            |    1 
 sirt-2.3-57/sirt/R/eigenvalues.sirt.R                                    |    1 
 sirt-2.3-57/sirt/R/equating.rasch.R                                      |    1 
 sirt-2.3-57/sirt/R/expl.detect.R                                         |    1 
 sirt-2.3-57/sirt/R/f1d.irt.R                                             |    1 
 sirt-2.3-57/sirt/R/fit.adisop.R                                          |    1 
 sirt-2.3-57/sirt/R/fit.gradedresponse.R                                  |    1 
 sirt-2.3-57/sirt/R/fit.gradedresponse_alg.R                              |    1 
 sirt-2.3-57/sirt/R/fit.isop.R                                            |    1 
 sirt-2.3-57/sirt/R/fit.logistic.R                                        |    1 
 sirt-2.3-57/sirt/R/fit.logistic_alg.R                                    |    1 
 sirt-2.3-57/sirt/R/fuzcluster.R                                          |    1 
 sirt-2.3-57/sirt/R/fuzcluster_alg.R                                      |    1 
 sirt-2.3-57/sirt/R/fuzdiscr.R                                            |    1 
 sirt-2.3-57/sirt/R/ginverse_sym.R                                        |    1 
 sirt-2.3-57/sirt/R/gom.em.R                                              |    1 
 sirt-2.3-57/sirt/R/gom.em.alg.R                                          |    1 
 sirt-2.3-57/sirt/R/gom.jml.R                                             |    1 
 sirt-2.3-57/sirt/R/gom.jml_alg.R                                         |    1 
 sirt-2.3-57/sirt/R/greenyang.reliability.R                               |    1 
 sirt-2.3-57/sirt/R/hard_thresholding.R                                   |    1 
 sirt-2.3-57/sirt/R/invariance.alignment.R                                |    1 
 sirt-2.3-57/sirt/R/invariance.alignment.aux.R                            |    1 
 sirt-2.3-57/sirt/R/invariance.alignment2.R                               |    1 
 sirt-2.3-57/sirt/R/invariance.alignment2.aux.R                           |    1 
 sirt-2.3-57/sirt/R/invgamma2.R                                           |    1 
 sirt-2.3-57/sirt/R/isop.dich.R                                           |    1 
 sirt-2.3-57/sirt/R/isop.poly.R                                           |    1 
 sirt-2.3-57/sirt/R/isop.scoring.R                                        |    1 
 sirt-2.3-57/sirt/R/isop.test.R                                           |    1 
 sirt-2.3-57/sirt/R/isop_tests_cpp.R                                      |    1 
 sirt-2.3-57/sirt/R/latent.regression.em.normal.R                         |    1 
 sirt-2.3-57/sirt/R/latent.regression.em.raschtype.R                      |    1 
 sirt-2.3-57/sirt/R/lavaan2mirt.R                                         |    1 
 sirt-2.3-57/sirt/R/lavaanify.sirt.R                                      |    1 
 sirt-2.3-57/sirt/R/lc.2raters.R                                          |    1 
 sirt-2.3-57/sirt/R/lc.2raters.aux.R                                      |    1 
 sirt-2.3-57/sirt/R/likelihood_adjustment.R                               |    1 
 sirt-2.3-57/sirt/R/likelihood_adjustment_aux.R                           |    1 
 sirt-2.3-57/sirt/R/likelihood_moments.R                                  |    1 
 sirt-2.3-57/sirt/R/linking.haberman.R                                    |    1 
 sirt-2.3-57/sirt/R/linking.robust.R                                      |    1 
 sirt-2.3-57/sirt/R/linking_haberman_als.R                                |    1 
 sirt-2.3-57/sirt/R/linking_haberman_als_residual_weights.R               |    1 
 sirt-2.3-57/sirt/R/linking_haberman_als_vcov.R                           |    1 
 sirt-2.3-57/sirt/R/linking_haberman_vcov_transformation.R                |    1 
 sirt-2.3-57/sirt/R/logLik_sirt.R                                         |    1 
 sirt-2.3-57/sirt/R/lsdm.R                                                |    1 
 sirt-2.3-57/sirt/R/lsdm_aux.R                                            |    1 
 sirt-2.3-57/sirt/R/lsem.MGM.stepfunctions.R                              |    1 
 sirt-2.3-57/sirt/R/lsem.estimate.R                                       |    1 
 sirt-2.3-57/sirt/R/lsem.permutationTest.R                                |    1 
 sirt-2.3-57/sirt/R/lsem_fitsem.R                                         |    1 
 sirt-2.3-57/sirt/R/lsem_group_moderator.R                                |    1 
 sirt-2.3-57/sirt/R/lsem_parameter_summary.R                              |    1 
 sirt-2.3-57/sirt/R/lsem_residualize.R                                    |    1 
 sirt-2.3-57/sirt/R/lsem_weighted_cov.R                                   |    1 
 sirt-2.3-57/sirt/R/lsem_weighted_mean.R                                  |    1 
 sirt-2.3-57/sirt/R/lsem_wtdSD.R                                          |    1 
 sirt-2.3-57/sirt/R/marginal.truescore.reliability.R                      |    1 
 sirt-2.3-57/sirt/R/matrix_functions.R                                    |    1 
 sirt-2.3-57/sirt/R/matrixfunctions_sirt.R                                |    1 
 sirt-2.3-57/sirt/R/mcmc.2pno.R                                           |    1 
 sirt-2.3-57/sirt/R/mcmc.2pno.ml.R                                        |    1 
 sirt-2.3-57/sirt/R/mcmc.2pno.ml_alg.R                                    |    1 
 sirt-2.3-57/sirt/R/mcmc.2pno.ml_output.R                                 |    1 
 sirt-2.3-57/sirt/R/mcmc.2pno_alg.R                                       |    1 
 sirt-2.3-57/sirt/R/mcmc.2pnoh.R                                          |    1 
 sirt-2.3-57/sirt/R/mcmc.2pnoh_alg.R                                      |    1 
 sirt-2.3-57/sirt/R/mcmc.3pno.testlet.R                                   |    1 
 sirt-2.3-57/sirt/R/mcmc.3pno.testlet_alg.R                               |    1 
 sirt-2.3-57/sirt/R/mcmc.3pno.testlet_output.R                            |    1 
 sirt-2.3-57/sirt/R/mcmc.aux.R                                            |    1 
 sirt-2.3-57/sirt/R/mcmc.list.descriptives.R                              |    1 
 sirt-2.3-57/sirt/R/mcmc_3pno_testlet_draw_itempars.R                     |    1 
 sirt-2.3-57/sirt/R/mcmc_Rhat.R                                           |    1 
 sirt-2.3-57/sirt/R/mcmc_WaldTest.R                                       |    1 
 sirt-2.3-57/sirt/R/mcmc_coef.R                                           |    1 
 sirt-2.3-57/sirt/R/mcmc_confint.R                                        |    1 
 sirt-2.3-57/sirt/R/mcmc_derivedPars.R                                    |    1 
 sirt-2.3-57/sirt/R/mcmc_plot.R                                           |    1 
 sirt-2.3-57/sirt/R/mcmc_summary.R                                        |    1 
 sirt-2.3-57/sirt/R/mcmc_summary_print_information_criteria.R             |    1 
 sirt-2.3-57/sirt/R/mcmc_vcov.R                                           |    1 
 sirt-2.3-57/sirt/R/mcmclist2coda.R                                       |    1 
 sirt-2.3-57/sirt/R/md.pattern.sirt.R                                     |    1 
 sirt-2.3-57/sirt/R/mirt.IRT.functions.R                                  |    1 
 sirt-2.3-57/sirt/R/mirt.model.vars.R                                     |    1 
 sirt-2.3-57/sirt/R/mirt.specify.partable.R                               |    1 
 sirt-2.3-57/sirt/R/mirt.wrapper.calc.counts.R                            |    1 
 sirt-2.3-57/sirt/R/mirt.wrapper.coef.R                                   |    1 
 sirt-2.3-57/sirt/R/mirt.wrapper.fscores.R                                |    1 
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 sirt-2.3-57/sirt/R/mirt.wrapper.posterior.R                              |    1 
 sirt-2.3-57/sirt/R/mirt_prodterms.R                                      |    1 
 sirt-2.3-57/sirt/R/mle.pcm.group.R                                       |    1 
 sirt-2.3-57/sirt/R/mle.reliability.R                                     |    1 
 sirt-2.3-57/sirt/R/modelfit.cor.R                                        |  133 -
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 sirt-2.3-57/sirt/R/nedelsky.irf.R                                        |    1 
 sirt-2.3-57/sirt/R/nedelsky.latresp.R                                    |    1 
 sirt-2.3-57/sirt/R/nedelsky.sim.R                                        |    1 
 sirt-2.3-57/sirt/R/noharm.sirt.R                                         |    1 
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 sirt-2.3-57/sirt/R/noharm.sirt.preprocess.R                              |    1 
 sirt-2.3-57/sirt/R/normal2.cw.R                                          |    1 
 sirt-2.3-57/sirt/R/np.dich.R                                             |    1 
 sirt-2.3-57/sirt/R/nr.numdiff.R                                          |    1 
 sirt-2.3-57/sirt/R/package_version_date.R                                |    1 
 sirt-2.3-57/sirt/R/parmsummary_extend.R                                  |    1 
 sirt-2.3-57/sirt/R/pbivnorm2.R                                           |    1 
 sirt-2.3-57/sirt/R/pcm.conversion.R                                      |    1 
 sirt-2.3-57/sirt/R/pcm.fit.R                                             |    1 
 sirt-2.3-57/sirt/R/personfit.R                                           |    1 
 sirt-2.3-57/sirt/R/personfit.stat.R                                      |    1 
 sirt-2.3-57/sirt/R/pgenlogis.R                                           |    1 
 sirt-2.3-57/sirt/R/plausible.values.raschtype.R                          |    1 
 sirt-2.3-57/sirt/R/plot.invariance.alignment.R                           |    1 
 sirt-2.3-57/sirt/R/plot.isop.R                                           |    1 
 sirt-2.3-57/sirt/R/plot.lsem.R                                           |    1 
 sirt-2.3-57/sirt/R/plot.lsem.permutationTest.R                           |    1 
 sirt-2.3-57/sirt/R/plot.mcmc.sirt.R                                      |    1 
 sirt-2.3-57/sirt/R/plot.rasch.mml.R                                      |    1 
 sirt-2.3-57/sirt/R/plot.rm.sdt.R                                         |    1 
 sirt-2.3-57/sirt/R/polychoric2.R                                         |    1 
 sirt-2.3-57/sirt/R/pow.R                                                 |    1 
 sirt-2.3-57/sirt/R/print.xxirt.R                                         |    1 
 sirt-2.3-57/sirt/R/prior_extract_density.R                               |    1 
 sirt-2.3-57/sirt/R/prior_model_pars_CleanString.R                        |    1 
 sirt-2.3-57/sirt/R/prior_model_parse.R                                   |    1 
 sirt-2.3-57/sirt/R/prmse.subscores.R                                     |    7 
 sirt-2.3-57/sirt/R/prob.guttman.R                                        |    1 
 sirt-2.3-57/sirt/R/prob_genlogis_4pl.R                                   |    1 
 sirt-2.3-57/sirt/R/qmc.nodes.R                                           |    1 
 sirt-2.3-57/sirt/R/rasch.conquest.R                                      |    1 
 sirt-2.3-57/sirt/R/rasch.copula.R                                        |    1 
 sirt-2.3-57/sirt/R/rasch.copula2.R                                       |    1 
 sirt-2.3-57/sirt/R/rasch.copula2_aux.R                                   |    1 
 sirt-2.3-57/sirt/R/rasch.copula3.R                                       |    1 
 sirt-2.3-57/sirt/R/rasch.copula3.covariance.R                            |    1 
 sirt-2.3-57/sirt/R/rasch.copula3_aux.R                                   |    1 
 sirt-2.3-57/sirt/R/rasch.evm.pcm.R                                       |    1 
 sirt-2.3-57/sirt/R/rasch.evm.pcm.methods.R                               |    1 
 sirt-2.3-57/sirt/R/rasch.evm.pcm_aux.R                                   |    1 
 sirt-2.3-57/sirt/R/rasch.jml.R                                           |    1 
 sirt-2.3-57/sirt/R/rasch.jml.biascorr.R                                  |    1 
 sirt-2.3-57/sirt/R/rasch.mirtlc.R                                        |    1 
 sirt-2.3-57/sirt/R/rasch.mirtlc_aux.R                                    |    1 
 sirt-2.3-57/sirt/R/rasch.mml.R                                           |    1 
 sirt-2.3-57/sirt/R/rasch.mml.npirt.R                                     |    1 
 sirt-2.3-57/sirt/R/rasch.mml.ramsay.R                                    |    1 
 sirt-2.3-57/sirt/R/rasch.mml.raschtype.R                                 |    1 
 sirt-2.3-57/sirt/R/rasch.mml2.R                                          |    6 
 sirt-2.3-57/sirt/R/rasch.mml2.missing1.R                                 |    1 
 sirt-2.3-57/sirt/R/rasch.pairwise.R                                      |    1 
 sirt-2.3-57/sirt/R/rasch.pairwise.itemcluster.R                          |    1 
 sirt-2.3-57/sirt/R/rasch.pml.R                                           |    1 
 sirt-2.3-57/sirt/R/rasch.pml2.R                                          |    1 
 sirt-2.3-57/sirt/R/rasch.pml2_aux.R                                      |    1 
 sirt-2.3-57/sirt/R/rasch.pml3.R                                          |    1 
 sirt-2.3-57/sirt/R/rasch.pml3_aux.R                                      |    1 
 sirt-2.3-57/sirt/R/rasch.pml_aux.R                                       |    1 
 sirt-2.3-57/sirt/R/rasch.prox.R                                          |    1 
 sirt-2.3-57/sirt/R/rasch.va.R                                            |    1 
 sirt-2.3-57/sirt/R/rasch_mml2_calc_prob.R                                |    1 
 sirt-2.3-57/sirt/R/rasch_mml2_difference_quotient.R                      |    1 
 sirt-2.3-57/sirt/R/rasch_mml2_modify_list_element.R                      |    1 
 sirt-2.3-57/sirt/R/rasch_mml2_mstep_calc_likelihood.R                    |    1 
 sirt-2.3-57/sirt/R/read.fwf2.R                                           |    1 
 sirt-2.3-57/sirt/R/reliability.nonlinear.sem.R                           |    1 
 sirt-2.3-57/sirt/R/rm.facets.R                                           |  366 +--
 sirt-2.3-57/sirt/R/rm.facets_PP.R                                        |    1 
 sirt-2.3-57/sirt/R/rm.facets_alg.R                                       |  348 ---
 sirt-2.3-57/sirt/R/rm.sdt.R                                              |  430 +--
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 sirt-2.3-57/sirt/R/rm_center_vector.R                                    |only
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 sirt-2.3-57/sirt/R/rm_eap_reliability.R                                  |only
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 sirt-2.3-57/sirt/R/rm_grouped_expected_likelihood.R                      |only
 sirt-2.3-57/sirt/R/rm_hrm_calcprobs.R                                    |only
 sirt-2.3-57/sirt/R/rm_hrm_est_a_item.R                                   |only
 sirt-2.3-57/sirt/R/rm_hrm_est_c_rater.R                                  |only
 sirt-2.3-57/sirt/R/rm_hrm_est_c_rater_order_parameters.R                 |only
 sirt-2.3-57/sirt/R/rm_hrm_est_d_rater.R                                  |only
 sirt-2.3-57/sirt/R/rm_hrm_est_tau_item.R                                 |only
 sirt-2.3-57/sirt/R/rm_ic_criteria.R                                      |only
 sirt-2.3-57/sirt/R/rm_numdiff_discrete_differences.R                     |only
 sirt-2.3-57/sirt/R/rm_numdiff_index.R                                    |only
 sirt-2.3-57/sirt/R/rm_numdiff_trim_increment.R                           |only
 sirt-2.3-57/sirt/R/rm_posterior.R                                        |only
 sirt-2.3-57/sirt/R/rm_proc_create_pseudoraters.R                         |only
 sirt-2.3-57/sirt/R/rm_proc_data.R                                        |only
 sirt-2.3-57/sirt/R/rm_proc_fixed_values_reference_rater.R                |only
 sirt-2.3-57/sirt/R/rm_sdt_arraymult1.R                                   |only
 sirt-2.3-57/sirt/R/rm_sdt_calc_loglikelihood.R                           |only
 sirt-2.3-57/sirt/R/rm_sdt_pem_acceleration.R                             |only
 sirt-2.3-57/sirt/R/rm_sdt_pem_inits.R                                    |only
 sirt-2.3-57/sirt/R/rm_sdt_prepare_diffindex.R                            |only
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 sirt-2.3-57/sirt/R/sia.sirt.R                                            |    1 
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 sirt-2.3-57/sirt/R/sim.raschtype.R                                       |    1 
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 sirt-2.3-57/sirt/R/sirt_osink.R                                          |    1 
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 sirt-2.3-57/sirt/R/sirt_rmvnorm.R                                        |    1 
 sirt-2.3-57/sirt/R/sirt_round_vector.R                                   |    1 
 sirt-2.3-57/sirt/R/sirt_summary_print_call.R                             |    1 
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 sirt-2.3-57/sirt/R/sirt_vector_with_names.R                              |    1 
 sirt-2.3-57/sirt/R/sirtcat.R                                             |    1 
 sirt-2.3-57/sirt/R/smirt.R                                               |    1 
 sirt-2.3-57/sirt/R/smirt_alg_comp.R                                      |    1 
 sirt-2.3-57/sirt/R/smirt_alg_noncomp.R                                   |    1 
 sirt-2.3-57/sirt/R/smirt_alg_partcomp.R                                  |    1 
 sirt-2.3-57/sirt/R/smirt_postproc.R                                      |    1 
 sirt-2.3-57/sirt/R/smirt_preproc.R                                       |    1 
 sirt-2.3-57/sirt/R/smirt_squeeze.R                                       |    1 
 sirt-2.3-57/sirt/R/soft_thresholding.R                                   |    1 
 sirt-2.3-57/sirt/R/stratified.cronbach.alpha.R                           |    1 
 sirt-2.3-57/sirt/R/sum0.R                                                |    1 
 sirt-2.3-57/sirt/R/summary.R2noharm.R                                    |    1 
 sirt-2.3-57/sirt/R/summary.R2noharm.jackknife.R                          |    1 
 sirt-2.3-57/sirt/R/summary.btm.R                                         |    1 
 sirt-2.3-57/sirt/R/summary.conf.detect.R                                 |    1 
 sirt-2.3-57/sirt/R/summary.fuzcluster.R                                  |    1 
 sirt-2.3-57/sirt/R/summary.gom.em.R                                      |    1 
 sirt-2.3-57/sirt/R/summary.invariance.alignment.R                        |    1 
 sirt-2.3-57/sirt/R/summary.isop.R                                        |    1 
 sirt-2.3-57/sirt/R/summary.isop.test.R                                   |    1 
 sirt-2.3-57/sirt/R/summary.latent.regression.R                           |    1 
 sirt-2.3-57/sirt/R/summary.linking.haberman.R                            |    1 
 sirt-2.3-57/sirt/R/summary.lsem.R                                        |   42 
 sirt-2.3-57/sirt/R/summary.lsem.permutationTest.R                        |    1 
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 sirt-2.3-57/sirt/R/summary.noharm.sirt.R                                 |    1 
 sirt-2.3-57/sirt/R/summary.rasch.copula.R                                |    1 
 sirt-2.3-57/sirt/R/summary.rasch.evm.pcm.R                               |    1 
 sirt-2.3-57/sirt/R/summary.rasch.mirtlc.R                                |    1 
 sirt-2.3-57/sirt/R/summary.rasch.mml2.R                                  |    1 
 sirt-2.3-57/sirt/R/summary.rasch.pml.R                                   |    1 
 sirt-2.3-57/sirt/R/summary.rm.facets.R                                   |   76 
 sirt-2.3-57/sirt/R/summary.rm.sdt.R                                      |   79 
 sirt-2.3-57/sirt/R/summary.smirt.R                                       |    1 
 sirt-2.3-57/sirt/R/summary.xxirt.R                                       |   42 
 sirt-2.3-57/sirt/R/summary_round_helper.R                                |    1 
 sirt-2.3-57/sirt/R/tam2mirt.R                                            |    1 
 sirt-2.3-57/sirt/R/tam2mirt.aux.R                                        |    1 
 sirt-2.3-57/sirt/R/testlet.marginalized.R                                |    1 
 sirt-2.3-57/sirt/R/testlet.yen.q3.R                                      |    1 
 sirt-2.3-57/sirt/R/tetrachoric2.R                                        |    1 
 sirt-2.3-57/sirt/R/tracemat.R                                            |    1 
 sirt-2.3-57/sirt/R/truescore.irt.R                                       |    1 
 sirt-2.3-57/sirt/R/unidim.csn.R                                          |    1 
 sirt-2.3-57/sirt/R/weighted_colMeans.R                                   |    6 
 sirt-2.3-57/sirt/R/weighted_colSums.R                                    |    6 
 sirt-2.3-57/sirt/R/weighted_rowMeans.R                                   |    6 
 sirt-2.3-57/sirt/R/weighted_rowSums.R                                    |    6 
 sirt-2.3-57/sirt/R/weighted_stats_extend_wgt.R                           |    1 
 sirt-2.3-57/sirt/R/wle.rasch.R                                           |  197 -
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 sirt-2.3-57/sirt/R/write.format2.R                                       |    1 
 sirt-2.3-57/sirt/R/write.fwf2.R                                          |    1 
 sirt-2.3-57/sirt/R/xxirt.R                                               |   15 
 sirt-2.3-57/sirt/R/xxirt_EAP.R                                           |    1 
 sirt-2.3-57/sirt/R/xxirt_IRT.se.R                                        |    1 
 sirt-2.3-57/sirt/R/xxirt_ThetaDistribution_extract_freeParameters.R      |    1 
 sirt-2.3-57/sirt/R/xxirt_coef.R                                          |    1 
 sirt-2.3-57/sirt/R/xxirt_compute_itemprobs.R                             |    1 
 sirt-2.3-57/sirt/R/xxirt_compute_likelihood.R                            |    1 
 sirt-2.3-57/sirt/R/xxirt_compute_posterior.R                             |    1 
 sirt-2.3-57/sirt/R/xxirt_compute_priorDistribution.R                     |    1 
 sirt-2.3-57/sirt/R/xxirt_createDiscItem.R                                |    1 
 sirt-2.3-57/sirt/R/xxirt_createItemList.R                                |    1 
 sirt-2.3-57/sirt/R/xxirt_createParTable.R                                |    1 
 sirt-2.3-57/sirt/R/xxirt_createThetaDistribution.R                       |    1 
 sirt-2.3-57/sirt/R/xxirt_data_proc.R                                     |    1 
 sirt-2.3-57/sirt/R/xxirt_hessian.R                                       |    1 
 sirt-2.3-57/sirt/R/xxirt_ic.R                                            |    1 
 sirt-2.3-57/sirt/R/xxirt_modifyParTable.R                                |    1 
 sirt-2.3-57/sirt/R/xxirt_mstep_ThetaParameters.R                         |    1 
 sirt-2.3-57/sirt/R/xxirt_mstep_itemParameters.R                          |    1 
 sirt-2.3-57/sirt/R/xxirt_mstep_itemParameters_evalPrior.R                |    1 
 sirt-2.3-57/sirt/R/xxirt_parTheta_extract_freeParameters.R               |    1 
 sirt-2.3-57/sirt/R/xxirt_partable_extract_freeParameters.R               |    1 
 sirt-2.3-57/sirt/R/xxirt_partable_include_freeParameters.R               |    1 
 sirt-2.3-57/sirt/R/xxirt_postproc_parameters.R                           |    1 
 sirt-2.3-57/sirt/R/xxirt_prepare_response_data.R                         |    4 
 sirt-2.3-57/sirt/R/xxirt_proc_ParTable.R                                 |    1 
 sirt-2.3-57/sirt/R/xxirt_vcov.R                                          |    1 
 sirt-2.3-57/sirt/R/yen.q3.R                                              |    1 
 sirt-2.3-57/sirt/R/zzz.R                                                 |    1 
 sirt-2.3-57/sirt/README.md                                               |    6 
 sirt-2.3-57/sirt/data/data.activity.itempars.rda                         |binary
 sirt-2.3-57/sirt/data/data.befki.rda                                     |only
 sirt-2.3-57/sirt/data/data.befki_resp.rda                                |only
 sirt-2.3-57/sirt/data/data.big5.qgraph.rda                               |binary
 sirt-2.3-57/sirt/data/data.big5.rda                                      |binary
 sirt-2.3-57/sirt/data/data.bs07a.rda                                     |binary
 sirt-2.3-57/sirt/data/data.eid.kap4.rda                                  |binary
 sirt-2.3-57/sirt/data/data.eid.kap5.rda                                  |binary
 sirt-2.3-57/sirt/data/data.eid.kap6.rda                                  |binary
 sirt-2.3-57/sirt/data/data.eid.kap7.rda                                  |binary
 sirt-2.3-57/sirt/data/data.eid.rda                                       |binary
 sirt-2.3-57/sirt/data/data.ess2005.rda                                   |binary
 sirt-2.3-57/sirt/data/data.g308.rda                                      |binary
 sirt-2.3-57/sirt/data/data.inv4gr.rda                                    |binary
 sirt-2.3-57/sirt/data/data.liking.science.rda                            |binary
 sirt-2.3-57/sirt/data/data.long.rda                                      |binary
 sirt-2.3-57/sirt/data/data.lsem01.rda                                    |binary
 sirt-2.3-57/sirt/data/data.math.rda                                      |binary
 sirt-2.3-57/sirt/data/data.mcdonald.LSAT6.rda                            |binary
 sirt-2.3-57/sirt/data/data.mcdonald.act15.rda                            |binary
 sirt-2.3-57/sirt/data/data.mcdonald.rape.rda                             |binary
 sirt-2.3-57/sirt/data/data.mixed1.rda                                    |binary
 sirt-2.3-57/sirt/data/data.ml1.rda                                       |binary
 sirt-2.3-57/sirt/data/data.ml2.rda                                       |binary
 sirt-2.3-57/sirt/data/data.noharm18.rda                                  |binary
 sirt-2.3-57/sirt/data/data.noharmExC.rda                                 |binary
 sirt-2.3-57/sirt/data/data.pars1.2pl.rda                                 |binary
 sirt-2.3-57/sirt/data/data.pars1.rasch.rda                               |binary
 sirt-2.3-57/sirt/data/data.pirlsmissing.rda                              |binary
 sirt-2.3-57/sirt/data/data.pisaMath.rda                                  |binary
 sirt-2.3-57/sirt/data/data.pisaPars.rda                                  |binary
 sirt-2.3-57/sirt/data/data.pisaRead.rda                                  |binary
 sirt-2.3-57/sirt/data/data.pw01.rda                                      |binary
 sirt-2.3-57/sirt/data/data.ratings1.rda                                  |binary
 sirt-2.3-57/sirt/data/data.ratings2.rda                                  |binary
 sirt-2.3-57/sirt/data/data.ratings3.rda                                  |binary
 sirt-2.3-57/sirt/data/data.raw1.rda                                      |binary
 sirt-2.3-57/sirt/data/data.read.rda                                      |binary
 sirt-2.3-57/sirt/data/data.reck21.rda                                    |binary
 sirt-2.3-57/sirt/data/data.reck61DAT1.rda                                |binary
 sirt-2.3-57/sirt/data/data.reck61DAT2.rda                                |binary
 sirt-2.3-57/sirt/data/data.reck73C1a.rda                                 |binary
 sirt-2.3-57/sirt/data/data.reck73C1b.rda                                 |binary
 sirt-2.3-57/sirt/data/data.reck75C2.rda                                  |binary
 sirt-2.3-57/sirt/data/data.reck78ExA.rda                                 |binary
 sirt-2.3-57/sirt/data/data.reck79ExB.rda                                 |binary
 sirt-2.3-57/sirt/data/data.si01.rda                                      |binary
 sirt-2.3-57/sirt/data/data.si02.rda                                      |binary
 sirt-2.3-57/sirt/data/data.si03.rda                                      |binary
 sirt-2.3-57/sirt/data/data.si04.rda                                      |binary
 sirt-2.3-57/sirt/data/data.si05.rda                                      |binary
 sirt-2.3-57/sirt/data/data.si06.rda                                      |binary
 sirt-2.3-57/sirt/data/data.timss.rda                                     |binary
 sirt-2.3-57/sirt/data/data.timss07.G8.RUS.rda                            |binary
 sirt-2.3-57/sirt/data/datalist                                           |    2 
 sirt-2.3-57/sirt/inst/NEWS                                               |   23 
 sirt-2.3-57/sirt/man/IRT.mle.Rd                                          |    1 
 sirt-2.3-57/sirt/man/Q3.Rd                                               |    5 
 sirt-2.3-57/sirt/man/Q3.testlet.Rd                                       |    1 
 sirt-2.3-57/sirt/man/R2conquest.Rd                                       |    1 
 sirt-2.3-57/sirt/man/R2noharm.EAP.Rd                                     |    1 
 sirt-2.3-57/sirt/man/R2noharm.Rd                                         |    1 
 sirt-2.3-57/sirt/man/R2noharm.jackknife.Rd                               |    1 
 sirt-2.3-57/sirt/man/automatic.recode.Rd                                 |    1 
 sirt-2.3-57/sirt/man/brm.sim.Rd                                          |    1 
 sirt-2.3-57/sirt/man/btm.Rd                                              |    1 
 sirt-2.3-57/sirt/man/categorize.Rd                                       |    1 
 sirt-2.3-57/sirt/man/ccov.np.Rd                                          |    1 
 sirt-2.3-57/sirt/man/class.accuracy.rasch.Rd                             |    1 
 sirt-2.3-57/sirt/man/conf.detect.Rd                                      |    8 
 sirt-2.3-57/sirt/man/data.activity.itempars.Rd                           |    1 
 sirt-2.3-57/sirt/man/data.befki.Rd                                       |only
 sirt-2.3-57/sirt/man/data.big5.Rd                                        |    1 
 sirt-2.3-57/sirt/man/data.bs.Rd                                          |    1 
 sirt-2.3-57/sirt/man/data.eid.Rd                                         |    1 
 sirt-2.3-57/sirt/man/data.ess2005.Rd                                     |    1 
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 sirt-2.3-57/sirt/src/RcppExports.cpp                                     |    1 
 sirt-2.3-57/sirt/src/eigenvaluessirt.cpp                                 |   77 
 sirt-2.3-57/sirt/src/evm_comp_matrix_poly.cpp                            |  509 ++--
 sirt-2.3-57/sirt/src/first_eigenvalue_sirt.h                             |   98 
 sirt-2.3-57/sirt/src/gooijer_isop.cpp                                    |    1 
 sirt-2.3-57/sirt/src/gooijercsntableaux.h                                |    1 
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 sirt-2.3-57/sirt/src/matrixfunctions_sirt.cpp                            |    1 
 sirt-2.3-57/sirt/src/mle_pcm_group_c.cpp                                 |    1 
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 sirt-2.3-57/sirt/src/polychoric2_tetrachoric2_rcpp_aux.cpp               |   18 
 sirt-2.3-57/sirt/src/probs_multcat_items_counts_csirt.cpp                |    1 
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 sirt-2.3-57/sirt/src/xxirt_functions.cpp                                 |  103 
 611 files changed, 1910 insertions(+), 2832 deletions(-)

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Package Rcpp updated to version 0.12.14 with previous version 0.12.13 dated 2017-09-28

Title: Seamless R and C++ Integration
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, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2017, <doi:10.7287/peerj.preprints.3188v1>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 0.12.13 dated 2017-09-28 and 0.12.14 dated 2017-11-23

 ChangeLog                               |   58 +++++++++++++++++++
 DESCRIPTION                             |   13 ++--
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Package mrfDepth updated to version 1.0.6 with previous version 1.0.5 dated 2017-10-13

Title: Depth Measures in Multivariate, Regression and Functional Settings
Description: Tools to compute depth measures and implementations of related tasks such as outlier detection, data exploration and classification of multivariate, regression and functional data.
Author: Pieter Segaert [aut, cre], Mia Hubert [aut], Peter Rousseeuw [aut], Jakob Raymaekers [aut], Kaveh Vakili [ctb]
Maintainer: Pieter Segaert <Pieter.Segaert@kuleuven.be>

Diff between mrfDepth versions 1.0.5 dated 2017-10-13 and 1.0.6 dated 2017-11-23

 DESCRIPTION   |    8 ++++----
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 5 files changed, 22 insertions(+), 12 deletions(-)

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Package Compositional updated to version 2.7 with previous version 2.6 dated 2017-10-07

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. The standard textbook for such data is John Aitchison's (1986). "The statistical analysis of compositional data". Chapman & Hall.
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut]
Maintainer: Michail Tsagris <mtsagris@yahoo.gr>

Diff between Compositional versions 2.6 dated 2017-10-07 and 2.7 dated 2017-11-23

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Package bioinactivation updated to version 1.2.0 with previous version 1.1.5 dated 2017-01-29

Title: Simulation of Dynamic Microbial Inactivation
Description: Prediction and adjustment to experimental data of microbial inactivation. Several models available in the literature are implemented.
Author: Alberto Garre [aut, cre], Pablo S. Fernandez [aut], Jose A. Egea [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>

Diff between bioinactivation versions 1.1.5 dated 2017-01-29 and 1.2.0 dated 2017-11-23

 DESCRIPTION                           |   12 +-
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New package TrajDataMining with initial version 0.1.3
Package: TrajDataMining
Type: Package
Title: Trajectories Data Mining
Version: 0.1.3
Authors@R: c( person("Diego","Monteiro",role=c("aut","cre"),email="dvm1607@gmail.com"), person("Karine", "Reis", role = "ctb",email="karine.ferreira@inpe.br"), person("Carlos", "Alberto", role = "ctb",email="carlos.noronha@inpe.br"), person("Felipe", "Carvalho", role = "ctb",email="lipecaso@gmail.com") )
Description: Contains a set of methods for trajectory data preparation, such as filtering, compressing and clustering, and for trajectory pattern discovery.
License: MIT + file LICENSE
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 3.3.3)
Imports: sp, trajectories, rgdal, xts, spacetime, RPostgreSQL, geosphere, methods, ggplot2, magrittr
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/INPEtrajectories/TrajDataMining
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-23 18:31:45 UTC; asainpe
Author: Diego Monteiro [aut, cre], Karine Reis [ctb], Carlos Alberto [ctb], Felipe Carvalho [ctb]
Maintainer: Diego Monteiro <dvm1607@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-23 18:51:24 UTC

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New package Ternary with initial version 0.1.1
Package: Ternary
Version: 0.1.1
Date: 2017-11-23
Title: Plot Ternary Diagrams
Description: Plots ternary diagrams using the standard graphics functions. An alternative to 'ggtern', which uses the 'ggplot2' family of plotting functions.
URL: https://github.com/ms609/Ternary
BugReports: https://github.com/ms609/Ternary/issues
Authors@R: c(person("Martin R.", 'Smith', email="martins@gmail.com", role=c("aut", "cre", "cph"), comment=c(ORCID = "0000-0001-5660-1727")) )
License: GPL (>= 2)
Depends: R (>= 3.2.0)
Suggests: knitr, rmarkdown, testthat
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-23 18:16:11 UTC; ms609
Author: Martin R. Smith [aut, cre, cph] (0000-0001-5660-1727)
Maintainer: Martin R. Smith <martins@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-23 18:41:58 UTC

More information about Ternary at CRAN
Permanent link

Package stplanr updated to version 0.2.1 with previous version 0.1.9 dated 2017-07-12

Title: Sustainable Transport Planning
Description: Functionality and data access tools for transport planning, including origin-destination analysis, route allocation and modelling travel patterns.
Author: Robin Lovelace [aut, cre] (0000-0001-5679-6536), Richard Ellison [aut], Barry Rowlingson [ctb] (Author of overline), Nick Bearman [ctb] (Co-author of gclip), Malcolm Morgan [ctb] (Co-author of angle_diff), Nikolai Berkoff [ctb] (Co-author of line2route), Scott Chamberlin [rev] (Scott reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/10)
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package ecospat updated to version 2.2.0 with previous version 2.1.1 dated 2016-11-02

Title: Spatial Ecology Miscellaneous Methods
Description: Collection of R functions and data sets for the support of spatial ecology analyses with a focus on pre-, core and post- modelling analyses of species distribution, niche quantification and community assembly. 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 [aut], Valeria Di Cola [cre, aut], Blaise Petitpierre [ctb], Frank Breiner [ctb], Manuela D`Amen [ctb], Christophe Randin [ctb], Robin Engler [ctb], Wim Hordijk [ctb], Julien Pottier [ctb], Mirko Di Febbraro [ctb], Loic Pellissier [ctb], Dorothea Pio [ctb], Ruben Garcia Mateo [ctb], Anne Dubuis [ctb], Daniel Scherrer [ctb], Luigi Maiorano [ctb], Achilleas Psomas [ctb], Charlotte Ndiribe [ctb], Nicolas Salamin [ctb], Niklaus Zimmermann [ctb], Antoine Guisan [aut]
Maintainer: Valeria Di Cola <valeriadicola@gmail.com>

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Package MVar.pt updated to version 1.9.9 with previous version 1.9.8 dated 2017-04-18

Title: Analise multivariada (brazilian portuguese)
Description: Pacote para analise multivariada, que possui funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise de cluster hierarquico e nao hierarquico, regressao linear, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@des.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package embryogrowth updated to version 7.1 with previous version 7.0 dated 2017-09-26

Title: Tools to Analyze the Thermal Reaction Norm of Embryo Growth
Description: Tools to analyze the embryo growth and the sexualisation thermal reaction norms.
Author: Marc Girondot <marc.girondot@u-psud.fr>
Maintainer: Marc Girondot <marc.girondot@u-psud.fr>

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Package CopulaDTA updated to version 1.0.0 with previous version 0.0.6 dated 2017-10-11

Title: Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies
Description: Modelling of sensitivity and specificity on their natural scale using copula based bivariate beta-binomial distribution to yield marginal mean sensitivity and specificity. The intrinsic negative correlation between sensitivity and specificity is modelled using a copula function. A forest plot can be obtained for categorical covariates or for the model with intercept only. Nyaga VN, Arbyn M, Aerts M (2017) <doi:10.18637/jss.v082.c01>.
Author: Victoria N Nyaga [aut, cre]
Maintainer: Victoria N Nyaga <victoria.nyaga@outlook.com>

Diff between CopulaDTA versions 0.0.6 dated 2017-10-11 and 1.0.0 dated 2017-11-23

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Package lawstat updated to version 3.2 with previous version 3.1 dated 2017-01-16

Title: Tools for Biostatistics, Public Policy, and Law
Description: Statistical tests widely utilized in biostatistics, public policy, and law. Along with the well-known tests for equality of means and variances, randomness, measures of relative variability etc, the package contains new robust tests of symmetry, omnibus and directional tests of normality, and their graphical counterparts such as Robust QQ plot; a robust trend tests for variances etc. All implemented tests and methods are illustrated by simulations and real-life examples from legal statistics, economics, and biostatistics.
Author: Joseph L. Gastwirth [aut], Yulia R. Gel [aut], W. L. Wallace Hui [aut], Vyacheslav Lyubchich [aut, cre], Weiwen Miao [aut], Kimihiro Noguchi [aut]
Maintainer: Vyacheslav Lyubchich <lyubchic@umces.edu>

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Package joint.Cox updated to version 2.14 with previous version 2.13 dated 2017-09-03

Title: Penalized Likelihood Estimation and Dynamic Prediction under the Joint Frailty-Copula Models Between Tumour Progression and Death for Meta-Analysis
Description: Perform the Cox regression and dynamic prediction methods under the joint frailty-copula model between tumour progression and death for meta-analysis. A penalized likelihood is employed for estimating model parameters, where the baseline hazard functions are approximated by smoothing splines. The methods are applicable for meta-analytic data combining several studies. The methods can analyze data having information on both terminal event time (e.g., time-to-death) and non-terminal event time (e.g., time-to-tumour progression). See Emura et al. (2015) <doi:10.1177/0962280215604510> and Emura et al. (2017) <doi:10.1177/0962280216688032> for details. Survival data from ovarian cancer patients are also available.
Author: Takeshi Emura
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

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Package s20x updated to version 3.1-25 with previous version 3.1-23 dated 2017-08-08

Title: Functions for University of Auckland Course STATS 201/208 Data Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Author: Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Brendan McArdle, Ben Stevenson, Chris Wild
Maintainer: James Curran <j.curran@auckland.ac.nz>

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More information about s20x at CRAN
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Package Rnightlights updated to version 0.1.4 with previous version 0.1.3 dated 2017-11-21

Title: Satellite Nightlight Data Extraction
Description: The Rnightlights package extracts raster and zonal statistics from satellite nightlight rasters downloaded from the United States National Oceanic and Atmospheric Administration (<http://www.noaa.gov>) free data repositories. Both the DMSP-OLS annual and SNPP-VIIRS monthly nightlight raster data are supported. Satellite nightlight raster tiles are downloaded and cropped to the country boundaries using shapefiles from the GADM database of Global Administrative Areas (<http://gadm.org>). Zonal statistics are then calculated at the lowest administrative boundary for the selected country and cached locally for future retrieval. Finally, a simple data explorer/browser is included that allows one to visualize the cached data e.g. graphing, mapping and clustering regional data.
Author: Christopher Njuguna [aut, cre, cph], Henrik Bengtsson [ctb] (data setup, https://cran.r-project.org/package=R.cache), Black Guru [ctb] (gdal zonal, http://www.guru-gis.net/efficient-zonal-statistics-using-r-and-gdal/), Jeff Chen [ctb] (masq function, https://commercedataservice.github.io/tutorial_viirs_part1/), Star Ying [ctb] (masq function, https://commercedataservice.github.io/tutorial_viirs_part1/), Chris Elvidge [ctb] (information + masq function)
Maintainer: Christopher Njuguna <chris.njuguna@gmail.com>

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More information about Rnightlights at CRAN
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New package distcrete with initial version 1.0.3
Package: distcrete
Title: Discrete Distribution Approximations
Version: 1.0.3
Authors@R: c( person("Steph","Locke", role="cre", email = "steph@itsalocke.com"), person("Rich", "FitzJohn", role = c("aut"), email = "rich.fitzjohn@gmail.com"), person("Anne", "Cori", role = "aut"), person("Thibaut", "Jombart", role = "aut"))
Description: Creates discretised versions of continuous distribution functions by mapping continuous values to an underlying discrete grid, based on a (uniform) frequency of discretisation, a valid discretisation point, and an integration range. For a review of discretisation methods, see Chakraborty (2015) <doi:10.1186/s40488-015-0028-6>.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/reconhub/distcrete
BugReports: https://github.com/reconhub/distcrete/issues
Suggests: knitr, rmarkdown, testthat
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-23 12:44:36 UTC; steph
Author: Steph Locke [cre], Rich FitzJohn [aut], Anne Cori [aut], Thibaut Jombart [aut]
Maintainer: Steph Locke <steph@itsalocke.com>
Repository: CRAN
Date/Publication: 2017-11-23 13:50:05 UTC

More information about distcrete at CRAN
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Package iClick updated to version 1.3 with previous version 1.2 dated 2016-02-24

Title: A Button-Based GUI for Financial and Economic Data Analysis
Description: A GUI designed to support the analysis of financial-economic time series data.
Author: Ho Tsung-wu
Maintainer: Ho Tsung-wu <tsungwu@mail.shu.edu.tw>

Diff between iClick versions 1.2 dated 2016-02-24 and 1.3 dated 2017-11-23

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New package adjustedcranlogs with initial version 0.1.0
Package: adjustedcranlogs
Type: Package
Title: Remove Automated and Repeated Downloads from 'RStudio' 'CRAN' Download Logs
Version: 0.1.0
Authors@R: c(person("Tyler", "Morgan-Wall", email = "tylermw@gmail.com", role = c("aut", "cre")))
Date: 2017-11-22
Description: Adjusts output of 'cranlogs' package to account for 'CRAN'-wide daily automated downloads and re-downloads caused by package updates.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: cranlogs, xml2, lubridate, dplyr, rvest
Depends: R (>= 2.10)
URL: https://github.com/tylermorganwall/adjustedcranlogs
BugReports: https://github.com/tylermorganwall/adjustedcranlogs/issues
NeedsCompilation: no
Packaged: 2017-11-22 22:20:56 UTC; tyler
Author: Tyler Morgan-Wall [aut, cre]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-23 12:35:35 UTC

More information about adjustedcranlogs at CRAN
Permanent link

Package phuse (with last version 0.1.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-09-26 0.1.4

Permanent link
Package powdist updated to version 0.1.4 with previous version 0.1.3 dated 2017-08-16

Title: Power and Reversal Power Distributions
Description: Density, distribution function, quantile function and random generation for the family of power and reversal power distributions.
Author: Susan Anyosa [aut, cre], Jorge Luis Bazán Guzmán [aut], Artur Lemonte [aut]
Maintainer: Susan Anyosa <susanaliciach@gmail.com>

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Package palm updated to version 1.1.0 with previous version 1.0.0 dated 2017-01-30

Title: Fitting Point Process Models via the Palm Likelihood
Description: Functions to fit point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) <DOI:10.1002/bimj.200610339>, maximisation of the Palm likelihood can provide computationally efficient parameter estimation for point process models in situations where the full likelihood is intractable. This package is chiefly focused on Neyman-Scott point processes, but can also fit void processes. The development of this package was motivated by the analysis of capture-recapture surveys on which individuals cannot be identified---the data from which can conceptually be seen as a clustered point process. As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.
Author: Ben Stevenson <ben.stevenson@auckland.ac.nz>
Maintainer: Ben Stevenson <ben.stevenson@auckland.ac.nz>

Diff between palm versions 1.0.0 dated 2017-01-30 and 1.1.0 dated 2017-11-23

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Package forega updated to version 1.0.3 with previous version 1.0.2 dated 2017-09-22

Title: Floating-Point Genetic Algorithms with Statistical Forecast Based Inheritance Operator
Description: The implemented algorithm performs a floating-point genetic algorithm search with a statistical forecasting operator that generates offspring which probably will be generated in future generations. Use of this operator enhances the search capabilities of floating-point genetic algorithms because offspring generated by usual genetic operators rapidly forecasted before performing more generations.
Author: Mehmet Hakan Satman
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>

Diff between forega versions 1.0.2 dated 2017-09-22 and 1.0.3 dated 2017-11-23

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Package CorporaCoCo updated to version 1.1-0 with previous version 1.0-2 dated 2017-03-31

Title: Corpora Co-Occurrence Comparison
Description: A set of functions used to compare co-occurrence between two corpora.
Author: Anthony Hennessey [aut, cre], Viola Wiegand [aut], Michaela Mahlberg [aut], Christopher R. Tench [aut], Jamie Lentin [aut]
Maintainer: Anthony Hennessey <anthony.hennessey@nottingham.ac.uk>

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Package BinaryEPPM updated to version 2.1 with previous version 2.0 dated 2016-11-28

Title: Mean and Variance Modeling of Binary Data
Description: Modeling under- and over-dispersed binary data using extended Poisson process models (EPPM) as in the article MJ Faddy and DM Smith (2012) <doi:10.1002/bimj.201100214> .
Author: David M Smith, Malcolm J Faddy
Maintainer: David M. Smith <smithdm1@us.ibm.com>

Diff between BinaryEPPM versions 2.0 dated 2016-11-28 and 2.1 dated 2017-11-23

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New package JMcmprsk with initial version 0.9
Package: JMcmprsk
Type: Package
Title: Joint Models for Longitudinal Measurements and Competing Risks Failure Time Data
Version: 0.9
Date: 2017-11-22
Author: Hong Wang<wh@csu.edu.cn>, Ning Li<nli@biomath.ucla.edu> and Gang Li<vli@ucla.edu>
Maintainer: Hong Wang <wh@csu.edu.cn>
Description: Parameter models for the joint modeling of longitudinal (continuous or ordinal) data and time-to-event data with competing risks. For a detailed information, see Robert Elashoff, Gang li and Ning Li (2016, ISBN:9781439807828) ; Robert M. Elashoff,Gang Li and Ning Li (2008) <doi:10.1111/j.1541-0420.2007.00952.x> ; Ning Li, Robert Elashoff, Gang Li and Jeffrey Saver (2010) <doi:10.1002/sim.3798> .
License: GPL (>= 2)
Imports: Rcpp,MASS,stats,utils
LinkingTo: Rcpp
SystemRequirements: GNU GSL
NeedsCompilation: yes
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2017-11-23 00:35:01 UTC; wh
Repository: CRAN
Date/Publication: 2017-11-23 09:54:33 UTC

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Package odk updated to version 1.4 with previous version 1.3 dated 2017-11-02

Title: Convert 'ODK' or 'XLSForm' to 'SPSS' Data Frame
Description: After develop a 'ODK' <https://opendatakit.org/> frame, we can link the frame to 'Google Sheets' <https://www.google.com/sheets/about/> and collect data through 'Android' <https://www.android.com/>. This data uploaded to a 'Google sheets'. odk2spss() function help to convert the 'odk' frame into 'SPSS' <https://www.ibm.com/analytics/us/en/technology/spss/> frame. Also able to add downloaded 'Google sheets' data or read data from 'Google sheets' by using 'ODK' frame 'submission_url'.
Author: Muntashir-Al-Arefin
Maintainer: Muntashir-Al-Arefin <muntashir.a2i@gmail.com>

Diff between odk versions 1.3 dated 2017-11-02 and 1.4 dated 2017-11-23

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Package wtest updated to version 2.0 with previous version 1.0 dated 2016-08-05

Title: The W-Test on Genetic Interactions Testing
Description: Perform the calculation of W-test, diagnostic checking, calculate minor allele frequency (MAF) and odds ratio.
Author: Rui Sun, Maggie Haitian Wang
Maintainer: Rui Sun <rsunzju@gmail.com>

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Package RSurvey updated to version 0.9.2 with previous version 0.9.1 dated 2017-02-24

Title: Geographic Information System Application
Description: A geographic information system (GIS) graphical user interface (GUI) that provides data viewing, management, and analysis tools.
Author: Jason C. Fisher [aut, cre] (0000-0001-9032-8912)
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

Diff between RSurvey versions 0.9.1 dated 2017-02-24 and 0.9.2 dated 2017-11-23

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Package MHTdiscrete updated to version 1.0.0 with previous version 0.1.3 dated 2017-02-08

Title: Multiple Hypotheses Testing for Discrete Data
Description: A comprehensive tool for almost all existing multiple testing methods for discrete data. The package also provides some novel multiple testing procedures controlling FWER/FDR for discrete data. Given discrete p-values and their domains, the [method].p.adjust function returns adjusted p-values, which can be used to compare with the nominal significant level alpha and make decisions. For users' convenience, the functions also provide the output option for printing decision rules.
Author: Yalin Zhu, Wenge Guo
Maintainer: Yalin Zhu <yalin.zhu@outlook.com>

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