Title: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic
Phenomena
Description: Statistical methods for the modeling and monitoring of time series
of counts, proportions and categorical data, as well as for the modeling
of continuous-time point processes of epidemic phenomena.
The monitoring methods focus on aberration detection in count data time
series from public health surveillance of communicable diseases, but
applications could just as well originate from environmetrics,
reliability engineering, econometrics, or social sciences. The package
implements many typical outbreak detection procedures such as the
(improved) Farrington algorithm, or the negative binomial GLR-CUSUM
method of Höhle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>.
A novel CUSUM approach combining logistic and multinomial logistic
modeling is also included. The package contains several real-world data
sets, the ability to simulate outbreak data, and to visualize the
results of the monitoring in a temporal, spatial or spatio-temporal
fashion. A recent overview of the available monitoring procedures is
given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>.
For the retrospective analysis of epidemic spread, the package provides
three endemic-epidemic modeling frameworks with tools for visualization,
likelihood inference, and simulation. 'hhh4' estimates models for
(multivariate) count time series following Paul and Held (2011)
<doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>.
'twinSIR' models the susceptible-infectious-recovered (SIR) event
history of a fixed population, e.g, epidemics across farms or networks,
as a multivariate point process as proposed by Höhle (2009)
<doi:10.1002/bimj.200900050>. 'twinstim' estimates self-exciting point
process models for a spatio-temporal point pattern of infective events,
e.g., time-stamped geo-referenced surveillance data, as proposed by
Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>.
A recent overview of the implemented space-time modeling frameworks
for epidemic phenomena is given by Meyer et al. (2017)
<doi:10.18637/jss.v077.i11>.
Author: Michael Höhle [aut, ths] (<https://orcid.org/0000-0002-0423-6702>),
Sebastian Meyer [aut, cre] (<https://orcid.org/0000-0002-1791-9449>),
Michaela Paul [aut],
Leonhard Held [ctb, ths],
Howard Burkom [ctb],
Thais Correa [ctb],
Mathias Hofmann [ctb],
Christian Lang [ctb],
Juliane Manitz [ctb],
Andrea Riebler [ctb],
Daniel Sabanés Bové [ctb],
Maëlle Salmon [ctb],
Dirk Schumacher [ctb],
Stefan Steiner [ctb],
Mikko Virtanen [ctb],
Wei Wei [ctb],
Valentin Wimmer [ctb],
R Core Team [ctb] (A few code segments are modified versions of code
from base R)
Maintainer: Sebastian Meyer <seb.meyer@fau.de>
Diff between surveillance versions 1.16.0 dated 2018-01-23 and 1.16.1 dated 2018-05-28
surveillance-1.16.0/surveillance/R/modifyListcall.R |only surveillance-1.16.0/surveillance/R/plot_graphics.R |only surveillance-1.16.0/surveillance/R/plot_multi.R |only surveillance-1.16.0/surveillance/man/compMatrix.writeTable.Rd |only surveillance-1.16.0/surveillance/man/correct53to52.Rd |only surveillance-1.16.0/surveillance/man/enlargeData.Rd |only surveillance-1.16.0/surveillance/man/makePlot.Rd |only surveillance-1.16.0/surveillance/man/qlomax.Rd |only surveillance-1.16.0/surveillance/man/readData.Rd |only surveillance-1.16.0/surveillance/man/sumNeighbours.Rd |only surveillance-1.16.0/surveillance/man/test.Rd |only surveillance-1.16.0/surveillance/man/testSim.Rd |only surveillance-1.16.0/surveillance/man/toFileDisProg.Rd |only surveillance-1.16.1/surveillance/DESCRIPTION | 24 surveillance-1.16.1/surveillance/MD5 | 204 +-- surveillance-1.16.1/surveillance/NAMESPACE | 3 surveillance-1.16.1/surveillance/R/algo_hhh.R | 562 ++++------ surveillance-1.16.1/surveillance/R/algo_rogerson.R | 35 surveillance-1.16.1/surveillance/R/disProg.R |only surveillance-1.16.1/surveillance/R/epidata.R | 20 surveillance-1.16.1/surveillance/R/epidataCS.R | 47 surveillance-1.16.1/surveillance/R/epidataCS_aggregate.R | 14 surveillance-1.16.1/surveillance/R/epidataCS_methods.R | 32 surveillance-1.16.1/surveillance/R/epidataCS_plot.R | 20 surveillance-1.16.1/surveillance/R/fanplot.R | 4 surveillance-1.16.1/surveillance/R/glm_epidataCS.R | 11 surveillance-1.16.1/surveillance/R/magic.dim.R |only surveillance-1.16.1/surveillance/R/misc_dataProcessing.R | 25 surveillance-1.16.1/surveillance/R/plot.survRes.R |only surveillance-1.16.1/surveillance/R/plot_xtable.R | 5 surveillance-1.16.1/surveillance/R/qlomax.R | 9 surveillance-1.16.1/surveillance/R/spatial_tools.R | 32 surveillance-1.16.1/surveillance/R/sts_animate.R | 22 surveillance-1.16.1/surveillance/R/sts_ggplot.R | 3 surveillance-1.16.1/surveillance/R/sts_observation.R | 4 surveillance-1.16.1/surveillance/R/testcalls.R | 15 surveillance-1.16.1/surveillance/R/twinstim.R | 22 surveillance-1.16.1/surveillance/R/twinstim_helper.R | 39 surveillance-1.16.1/surveillance/R/twinstim_methods.R | 6 surveillance-1.16.1/surveillance/R/twinstim_siaf_step.R | 12 surveillance-1.16.1/surveillance/R/twinstim_simulation.R | 16 surveillance-1.16.1/surveillance/R/untie.R | 14 surveillance-1.16.1/surveillance/build/partial.rdb |binary surveillance-1.16.1/surveillance/build/vignette.rds |binary surveillance-1.16.1/surveillance/data/imdepi.RData |binary surveillance-1.16.1/surveillance/demo/cost.R | 52 surveillance-1.16.1/surveillance/inst/NEWS.Rd | 31 surveillance-1.16.1/surveillance/inst/doc/glrnb.pdf |binary surveillance-1.16.1/surveillance/inst/doc/hhh4.pdf |binary surveillance-1.16.1/surveillance/inst/doc/hhh4_spacetime.R | 3 surveillance-1.16.1/surveillance/inst/doc/hhh4_spacetime.Rnw | 7 surveillance-1.16.1/surveillance/inst/doc/hhh4_spacetime.pdf |binary surveillance-1.16.1/surveillance/inst/doc/monitoringCounts.R | 36 surveillance-1.16.1/surveillance/inst/doc/monitoringCounts.Rnw | 36 surveillance-1.16.1/surveillance/inst/doc/monitoringCounts.pdf |binary surveillance-1.16.1/surveillance/inst/doc/surveillance.R | 79 - surveillance-1.16.1/surveillance/inst/doc/surveillance.Rnw | 141 +- surveillance-1.16.1/surveillance/inst/doc/surveillance.pdf |binary surveillance-1.16.1/surveillance/inst/doc/twinSIR.Rnw | 4 surveillance-1.16.1/surveillance/inst/doc/twinSIR.pdf |binary surveillance-1.16.1/surveillance/inst/doc/twinstim.Rnw | 4 surveillance-1.16.1/surveillance/inst/doc/twinstim.pdf |binary surveillance-1.16.1/surveillance/man/addFormattedXAxis.Rd | 1 surveillance-1.16.1/surveillance/man/boda.Rd | 3 surveillance-1.16.1/surveillance/man/bodaDelay.Rd | 1 surveillance-1.16.1/surveillance/man/campyDE.Rd | 1 surveillance-1.16.1/surveillance/man/correct53to52-deprecated.Rd |only surveillance-1.16.1/surveillance/man/enlargeData-deprecated.Rd |only surveillance-1.16.1/surveillance/man/epidata.Rd | 1 surveillance-1.16.1/surveillance/man/epidataCS.Rd | 73 - surveillance-1.16.1/surveillance/man/epidataCS_aggregate.Rd | 18 surveillance-1.16.1/surveillance/man/epidataCS_animate.Rd | 2 surveillance-1.16.1/surveillance/man/epidataCS_permute.Rd | 2 surveillance-1.16.1/surveillance/man/epidataCS_plot.Rd | 38 surveillance-1.16.1/surveillance/man/fanplot.Rd | 2 surveillance-1.16.1/surveillance/man/hhh4_plot.Rd | 7 surveillance-1.16.1/surveillance/man/hhh4_predict.Rd | 2 surveillance-1.16.1/surveillance/man/husO104Hosp.Rd | 1 surveillance-1.16.1/surveillance/man/isoWeekYear.Rd | 4 surveillance-1.16.1/surveillance/man/knox.Rd | 1 surveillance-1.16.1/surveillance/man/magic.dim.Rd | 7 surveillance-1.16.1/surveillance/man/makePlot-deprecated.Rd |only surveillance-1.16.1/surveillance/man/plot.disProg.Rd | 22 surveillance-1.16.1/surveillance/man/plot.survRes.Rd | 16 surveillance-1.16.1/surveillance/man/runifdisc.Rd | 1 surveillance-1.16.1/surveillance/man/salmAllOnset.Rd | 1 surveillance-1.16.1/surveillance/man/stK.Rd | 1 surveillance-1.16.1/surveillance/man/sts-class.Rd | 4 surveillance-1.16.1/surveillance/man/stsNewport.Rd | 1 surveillance-1.16.1/surveillance/man/sts_animate.Rd | 4 surveillance-1.16.1/surveillance/man/sts_ggplot.Rd | 16 surveillance-1.16.1/surveillance/man/sts_observation.Rd | 2 surveillance-1.16.1/surveillance/man/stsplot_space.Rd | 2 surveillance-1.16.1/surveillance/man/stsplot_spacetime.Rd | 10 surveillance-1.16.1/surveillance/man/stsplot_time.Rd | 4 surveillance-1.16.1/surveillance/man/surveillance-deprecated.Rd |only surveillance-1.16.1/surveillance/man/surveillance-package.Rd | 75 - surveillance-1.16.1/surveillance/man/test-deprecated.Rd |only surveillance-1.16.1/surveillance/man/testSim-deprecated.Rd |only surveillance-1.16.1/surveillance/man/twinSIR_simulation.Rd | 29 surveillance-1.16.1/surveillance/man/twinstim.Rd | 2 surveillance-1.16.1/surveillance/man/twinstim_epitest.Rd | 1 surveillance-1.16.1/surveillance/man/twinstim_intensity.Rd | 2 surveillance-1.16.1/surveillance/man/twinstim_methods.Rd | 2 surveillance-1.16.1/surveillance/man/twinstim_simulation.Rd | 15 surveillance-1.16.1/surveillance/man/untie.Rd | 31 surveillance-1.16.1/surveillance/tests/testthat/test-formatDate.R | 49 surveillance-1.16.1/surveillance/tests/testthat/test-twinstim_score.R | 16 surveillance-1.16.1/surveillance/vignettes/hhh4_spacetime.Rnw | 7 surveillance-1.16.1/surveillance/vignettes/monitoringCounts.Rnw | 36 surveillance-1.16.1/surveillance/vignettes/surveillance-hmm.pdf |binary surveillance-1.16.1/surveillance/vignettes/surveillance.Rnw | 141 +- surveillance-1.16.1/surveillance/vignettes/twinSIR.Rnw | 4 surveillance-1.16.1/surveillance/vignettes/twinstim.Rnw | 4 114 files changed, 1194 insertions(+), 1061 deletions(-)
Title: An Integrated Framework for Textual Sentiment Time Series
Aggregation and Prediction
Description: Optimized prediction based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in various ways. See Ardia et al. (2017) <https://ssrn.com/abstract=3067734>.
Author: David Ardia [aut],
Keven Bluteau [aut],
Samuel Borms [aut, cre],
Kris Boudt [aut]
Maintainer: Samuel Borms <samuel.borms@unine.ch>
Diff between sentometrics versions 0.3.5 dated 2018-03-26 and 0.4 dated 2018-05-28
sentometrics-0.3.5/sentometrics/data/lexicons.rda |only sentometrics-0.3.5/sentometrics/data/valence.rda |only sentometrics-0.3.5/sentometrics/man/extract_peakdocs.Rd |only sentometrics-0.3.5/sentometrics/man/fill_measures.Rd |only sentometrics-0.3.5/sentometrics/man/lexicons.Rd |only sentometrics-0.3.5/sentometrics/man/merge_measures.Rd |only sentometrics-0.3.5/sentometrics/man/select_measures.Rd |only sentometrics-0.3.5/sentometrics/man/subset_measures.Rd |only sentometrics-0.3.5/sentometrics/man/valence.Rd |only sentometrics-0.4/sentometrics/DESCRIPTION | 11 sentometrics-0.4/sentometrics/MD5 | 100 +- sentometrics-0.4/sentometrics/NAMESPACE | 16 sentometrics-0.4/sentometrics/NEWS.md | 19 sentometrics-0.4/sentometrics/R/attribution.R | 14 sentometrics-0.4/sentometrics/R/deprecated.R |only sentometrics-0.4/sentometrics/R/sentiment_engines.R |only sentometrics-0.4/sentometrics/R/sentocorpus.R | 126 +- sentometrics-0.4/sentometrics/R/sentomeasures.R | 500 ++++------ sentometrics-0.4/sentometrics/R/sentometrics.R | 72 - sentometrics-0.4/sentometrics/R/sentomodel.R | 317 +++--- sentometrics-0.4/sentometrics/R/utils.R | 68 - sentometrics-0.4/sentometrics/R/zzz.R | 2 sentometrics-0.4/sentometrics/README.md | 15 sentometrics-0.4/sentometrics/data/datalist | 4 sentometrics-0.4/sentometrics/data/list_lexicons.rda |only sentometrics-0.4/sentometrics/data/list_valence_shifters.rda |only sentometrics-0.4/sentometrics/data/usnews.rda |binary sentometrics-0.4/sentometrics/man/add_features.Rd | 30 sentometrics-0.4/sentometrics/man/almons.Rd | 4 sentometrics-0.4/sentometrics/man/compute_sentiment.Rd | 62 - sentometrics-0.4/sentometrics/man/ctr_agg.Rd | 21 sentometrics-0.4/sentometrics/man/ctr_merge.Rd | 14 sentometrics-0.4/sentometrics/man/ctr_model.Rd | 50 - sentometrics-0.4/sentometrics/man/data-defunct.Rd |only sentometrics-0.4/sentometrics/man/diff.sentomeasures.Rd | 6 sentometrics-0.4/sentometrics/man/list_lexicons.Rd |only sentometrics-0.4/sentometrics/man/list_valence_shifters.Rd |only sentometrics-0.4/sentometrics/man/measures_delete.Rd |only sentometrics-0.4/sentometrics/man/measures_fill.Rd |only sentometrics-0.4/sentometrics/man/measures_merge.Rd |only sentometrics-0.4/sentometrics/man/measures_select.Rd |only sentometrics-0.4/sentometrics/man/measures_subset.Rd |only sentometrics-0.4/sentometrics/man/nmeasures.Rd |only sentometrics-0.4/sentometrics/man/nobs.Rd |only sentometrics-0.4/sentometrics/man/peakdocs.Rd |only sentometrics-0.4/sentometrics/man/perform_MCS.Rd | 8 sentometrics-0.4/sentometrics/man/perform_agg.Rd | 15 sentometrics-0.4/sentometrics/man/plot.sentomeasures.Rd | 8 sentometrics-0.4/sentometrics/man/plot.sentomodeliter.Rd | 8 sentometrics-0.4/sentometrics/man/retrieve_attributions.Rd | 12 sentometrics-0.4/sentometrics/man/scale.sentomeasures.Rd | 6 sentometrics-0.4/sentometrics/man/sento_corpus.Rd | 9 sentometrics-0.4/sentometrics/man/sento_measures.Rd | 13 sentometrics-0.4/sentometrics/man/sento_model.Rd | 64 - sentometrics-0.4/sentometrics/man/sentometrics-deprecated.Rd |only sentometrics-0.4/sentometrics/man/sentometrics-package.Rd | 4 sentometrics-0.4/sentometrics/man/setup_lexicons.Rd | 38 sentometrics-0.4/sentometrics/man/to_global.Rd | 6 sentometrics-0.4/sentometrics/man/to_sentocorpus.Rd |only sentometrics-0.4/sentometrics/man/usnews.Rd | 10 sentometrics-0.4/sentometrics/src/RcppExports.cpp | 1 sentometrics-0.4/sentometrics/tests/testthat.R | 4 sentometrics-0.4/sentometrics/tests/testthat/test_aggregation.R | 16 sentometrics-0.4/sentometrics/tests/testthat/test_attribution.R | 21 64 files changed, 947 insertions(+), 747 deletions(-)
Title: Easy-to-Use Tools for Common Forms of Random Assignment and
Sampling
Description: Generates random assignments for common experimental designs and
random samples for common sampling designs.
Author: Alexander Coppock [aut, cre],
Jasper Cooper [ctb],
Neal Fultz [ctb] (C version of restricted partitions)
Maintainer: Alexander Coppock <acoppock@gmail.com>
Diff between randomizr versions 0.12.0 dated 2018-03-12 and 0.16.0 dated 2018-05-28
randomizr-0.12.0/randomizr/R/block_and_cluster_ra_probabilities.R |only randomizr-0.12.0/randomizr/R/block_ra_probabilities.R |only randomizr-0.12.0/randomizr/R/cluster_ra_probabilities.R |only randomizr-0.12.0/randomizr/R/cluster_rs_probabilities.R |only randomizr-0.12.0/randomizr/R/complete_ra_probabilities.R |only randomizr-0.12.0/randomizr/R/complete_rs_probabilities.R |only randomizr-0.12.0/randomizr/R/simple_ra_probabilities.R |only randomizr-0.12.0/randomizr/R/simple_rs_probabilities.R |only randomizr-0.12.0/randomizr/R/strata_and_cluster_rs_probabilities.R |only randomizr-0.12.0/randomizr/R/strata_rs_probabilities.R |only randomizr-0.16.0/randomizr/DESCRIPTION | 10 randomizr-0.16.0/randomizr/MD5 | 137 - randomizr-0.16.0/randomizr/NAMESPACE | 5 randomizr-0.16.0/randomizr/R/block_and_cluster_ra.R | 124 + randomizr-0.16.0/randomizr/R/block_ra.R | 294 ++- randomizr-0.16.0/randomizr/R/cluster_ra.R | 154 +- randomizr-0.16.0/randomizr/R/cluster_rs.R | 69 randomizr-0.16.0/randomizr/R/complete_ra.R | 355 ++-- randomizr-0.16.0/randomizr/R/complete_rs.R | 138 - randomizr-0.16.0/randomizr/R/custom_ra.R |only randomizr-0.16.0/randomizr/R/declare_ra.R | 444 +---- randomizr-0.16.0/randomizr/R/declare_rs.R | 287 --- randomizr-0.16.0/randomizr/R/generated_methods.R |only randomizr-0.16.0/randomizr/R/helper_functions.R | 765 ++++------ randomizr-0.16.0/randomizr/R/methods.R |only randomizr-0.16.0/randomizr/R/obtain_num_permutations.R | 223 +- randomizr-0.16.0/randomizr/R/obtain_permutation_matrix.R | 535 +++--- randomizr-0.16.0/randomizr/R/obtain_permutation_probabilities.R | 285 +-- randomizr-0.16.0/randomizr/R/simple_ra.R | 111 - randomizr-0.16.0/randomizr/R/simple_rs.R | 46 randomizr-0.16.0/randomizr/R/strata_and_cluster_rs.R | 108 + randomizr-0.16.0/randomizr/R/strata_rs.R | 111 + randomizr-0.16.0/randomizr/R/zzz.R |only randomizr-0.16.0/randomizr/build/vignette.rds |binary randomizr-0.16.0/randomizr/inst/doc/randomizr_vignette.html | 146 - randomizr-0.16.0/randomizr/man/block_and_cluster_ra.Rd | 15 randomizr-0.16.0/randomizr/man/block_and_cluster_ra_probabilities.Rd | 11 randomizr-0.16.0/randomizr/man/block_ra.Rd | 10 randomizr-0.16.0/randomizr/man/block_ra_probabilities.Rd | 8 randomizr-0.16.0/randomizr/man/cluster_ra.Rd | 11 randomizr-0.16.0/randomizr/man/cluster_ra_probabilities.Rd | 8 randomizr-0.16.0/randomizr/man/cluster_rs.Rd | 6 randomizr-0.16.0/randomizr/man/cluster_rs_probabilities.Rd | 8 randomizr-0.16.0/randomizr/man/complete_ra.Rd | 13 randomizr-0.16.0/randomizr/man/complete_ra_probabilities.Rd | 2 randomizr-0.16.0/randomizr/man/complete_rs.Rd | 7 randomizr-0.16.0/randomizr/man/complete_rs_probabilities.Rd | 2 randomizr-0.16.0/randomizr/man/conduct_ra.Rd | 21 randomizr-0.16.0/randomizr/man/custom_ra.Rd |only randomizr-0.16.0/randomizr/man/custom_ra_probabilities.Rd |only randomizr-0.16.0/randomizr/man/declare_ra.Rd | 15 randomizr-0.16.0/randomizr/man/declare_rs.Rd | 13 randomizr-0.16.0/randomizr/man/draw_rs.Rd | 13 randomizr-0.16.0/randomizr/man/obtain_condition_probabilities.Rd | 14 randomizr-0.16.0/randomizr/man/obtain_inclusion_probabilities.Rd | 10 randomizr-0.16.0/randomizr/man/simple_ra.Rd | 6 randomizr-0.16.0/randomizr/man/simple_ra_probabilities.Rd | 6 randomizr-0.16.0/randomizr/man/simple_rs.Rd | 2 randomizr-0.16.0/randomizr/man/simple_rs_probabilities.Rd | 4 randomizr-0.16.0/randomizr/man/strata_and_cluster_rs.Rd | 9 randomizr-0.16.0/randomizr/man/strata_and_cluster_rs_probabilities.Rd | 13 randomizr-0.16.0/randomizr/man/strata_rs.Rd | 6 randomizr-0.16.0/randomizr/man/strata_rs_probabilities.Rd | 9 randomizr-0.16.0/randomizr/src/onload.c | 4 randomizr-0.16.0/randomizr/src/vsample.c |only randomizr-0.16.0/randomizr/tests/testthat/test-block_and_cluster_ra.R | 1 randomizr-0.16.0/randomizr/tests/testthat/test-cluster_ra.R | 12 randomizr-0.16.0/randomizr/tests/testthat/test-cluster_rs.R | 13 randomizr-0.16.0/randomizr/tests/testthat/test-complete_ra.R | 29 randomizr-0.16.0/randomizr/tests/testthat/test-complete_rs.R | 21 randomizr-0.16.0/randomizr/tests/testthat/test-custom-ra.R | 9 randomizr-0.16.0/randomizr/tests/testthat/test-methods.R |only randomizr-0.16.0/randomizr/tests/testthat/test-permutations.R | 209 ++ randomizr-0.16.0/randomizr/tests/testthat/test-restricted-parts.R |only randomizr-0.16.0/randomizr/tests/testthat/test-simple_ra.R | 27 randomizr-0.16.0/randomizr/tests/testthat/test-simple_rs.R | 18 randomizr-0.16.0/randomizr/tests/testthat/test-strata_rs.R | 6 randomizr-0.16.0/randomizr/tests/testthat/test_assignment_declarations.R | 68 randomizr-0.16.0/randomizr/tests/testthat/test_sampling_declarations.R | 49 79 files changed, 2712 insertions(+), 2343 deletions(-)
Title: Smooth Additive Quantile Regression Models
Description: Smooth additive quantile regression models, fitted using
the methods of Fasiolo et al. (2017) <arXiv:1707.03307>. Differently from
'quantreg', the smoothing parameters are estimated automatically by marginal
loss minimization, while the regression coefficients are estimated using either
PIRLS or Newton algorithm. The learning rate is determined so that the Bayesian
credible intervals of the estimated effects have approximately the correct
coverage. The main function is qgam() which is similar to gam() in 'mgcv', but
fits non-parametric quantile regression models.
Author: Matteo Fasiolo [aut, cre],
Simon N. Wood [ctb],
Yannig Goude [ctb],
Raphael Nedellec [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>
Diff between qgam versions 1.2.1 dated 2018-05-27 and 1.2.2 dated 2018-05-28
qgam-1.2.1/qgam/inst/tests |only qgam-1.2.2/qgam/DESCRIPTION | 8 ++--- qgam-1.2.2/qgam/MD5 | 18 ++++++------ qgam-1.2.2/qgam/inst/CITATION | 4 +- qgam-1.2.2/qgam/inst/doc/qgam.html | 52 ++++++++++++++++++------------------- qgam-1.2.2/qgam/tests/testthat |only qgam-1.2.2/qgam/tests/testthat.R | 2 - 7 files changed, 42 insertions(+), 42 deletions(-)
Title: Univariate Kernel Density Estimation
Description: Provides an efficient implementation of univariate local polynomial
kernel density estimators that can handle bounded and discrete data. See
Geenens (2014) <arXiv:1303.4121>,
Geenens and Wang (2018) <arXiv:1602.04862>,
Nagler (2018a) <arXiv:1704.07457>,
Nagler (2018b) <arXiv:1705.05431>.
Author: Thomas Nagler [aut, cre],
Thibault Vatter [aut]
Maintainer: Thomas Nagler <mail@tnagler.com>
Diff between kde1d versions 0.2.0 dated 2018-05-07 and 0.2.1 dated 2018-05-28
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 7 +++++++ inst/include/lpdens.hpp | 6 ++---- 4 files changed, 15 insertions(+), 10 deletions(-)
Title: Joint Modelling of Multivariate Longitudinal Data and
Time-to-Event Outcomes
Description: Fits the joint model proposed by Henderson and colleagues (2000)
<doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple
continuous longitudinal measures. The time-to-event data is modelled using a
Cox proportional hazards regression model with time-varying covariates. The
multiple longitudinal outcomes are modelled using a multivariate version of the
Laird and Ware linear mixed model. The association is captured by a multivariate
latent Gaussian process. The model is estimated using a Monte Carlo Expectation
Maximization algorithm. This project is funded by the Medical Research Council
(Grant number MR/M013227/1).
Author: Graeme L. Hickey [aut] (<https://orcid.org/0000-0002-4989-0054>),
Pete Philipson [cre, aut] (<https://orcid.org/0000-0001-7846-0208>),
Andrea Jorgensen [aut] (<https://orcid.org/0000-0002-6977-9337>),
Ruwanthi Kolamunnage-Dona [aut]
(<https://orcid.org/0000-0003-3886-6208>),
Paula Williamson [ctb] (<https://orcid.org/0000-0001-9802-6636>),
Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R),
Alessandro Gasparini [ctb] (<https://orcid.org/0000-0002-8319-7624>),
Medical Research Council [fnd] (Grant number: MR/M013227/1)
Maintainer: Pete Philipson <pete.philipson@northumbria.ac.uk>
Diff between joineRML versions 0.4.1 dated 2018-01-21 and 0.4.2 dated 2018-05-28
DESCRIPTION | 42 +++++++++++++++++++++++----------------- MD5 | 25 ++++++++++++----------- NEWS.md | 18 +++++++++++++++++ R/hessian.R | 1 R/mjoint.R | 7 ++++-- R/stepEM.R | 2 - README.md | 2 - build/vignette.rds |binary inst/doc/joineRML.html | 4 +-- inst/doc/technical.pdf |binary tests/testthat/Rplots.pdf |only tests/testthat/test-ancillary.R | 9 +++++--- tests/testthat/test-boot.R | 3 ++ tests/testthat/test-models.R | 17 ++++++++++------ 14 files changed, 85 insertions(+), 45 deletions(-)
Title: High Dimensional Geometry and Set Operations Using Kernel
Density Estimation, Support Vector Machines, and Convex Hulls
Description: Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to high-dimensional kernel density estimation, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.
Author: Benjamin Blonder, with contributions from David J. Harris
Maintainer: Benjamin Blonder <bblonder@gmail.com>
Diff between hypervolume versions 2.0.8 dated 2017-11-06 and 2.0.9 dated 2018-05-28
DESCRIPTION | 8 ++++---- MD5 | 23 ++++++++++++----------- NAMESPACE | 5 ++--- R/hypervolume_box.R | 2 +- R/hypervolume_estimate_probability.R | 2 +- R/hypervolume_gaussian.R | 25 ++++++++++++++++++++----- R/hypervolume_plot.R | 4 ++-- R/hypervolume_threshold.R | 2 +- R/samplers.R | 7 ++----- build |only man/hypervolume-package.Rd | 19 ++++++++++++------- man/hypervolume_gaussian.Rd | 7 +++++++ man/weight_data.Rd | 7 ++++++- 13 files changed, 70 insertions(+), 41 deletions(-)
Title: Interface to the 'DeepL' Translation API
Description: A wrapper for the 'DeepL' API, a web service for translating texts between different languages.
Access to the official API (see <https://www.deepl.com/translator>) is subject to a monthly fee.
No authentication key is required for the undocumented DeepL JSON-RPC API. The package provides functions
for both types of API calls.
Author: David Zumbach [aut, cre]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>
Diff between deeplr versions 0.1.0 dated 2018-05-24 and 1.0.0 dated 2018-05-28
deeplr-0.1.0/deeplr/R/to.R |only deeplr-1.0.0/deeplr/DESCRIPTION | 16 ++++--- deeplr-1.0.0/deeplr/MD5 | 47 ++++++++++++++++------ deeplr-1.0.0/deeplr/NAMESPACE | 22 ++++++++++ deeplr-1.0.0/deeplr/NEWS |only deeplr-1.0.0/deeplr/R/detect.R |only deeplr-1.0.0/deeplr/R/detect2.R |only deeplr-1.0.0/deeplr/R/pimp.R |only deeplr-1.0.0/deeplr/R/pimp2.R |only deeplr-1.0.0/deeplr/R/to_lang.R |only deeplr-1.0.0/deeplr/R/to_lang2.R |only deeplr-1.0.0/deeplr/R/translate.R | 45 +++++++++++---------- deeplr-1.0.0/deeplr/R/translate2.R |only deeplr-1.0.0/deeplr/R/usage.R |only deeplr-1.0.0/deeplr/R/utils.R | 71 ++++++++++++++++++++++++++++++++-- deeplr-1.0.0/deeplr/man/detect.Rd |only deeplr-1.0.0/deeplr/man/detect2.Rd |only deeplr-1.0.0/deeplr/man/pimp.Rd |only deeplr-1.0.0/deeplr/man/pimp2.Rd |only deeplr-1.0.0/deeplr/man/toDutch.Rd | 12 ++--- deeplr-1.0.0/deeplr/man/toDutch2.Rd |only deeplr-1.0.0/deeplr/man/toEnglish.Rd | 12 ++--- deeplr-1.0.0/deeplr/man/toEnglish2.Rd |only deeplr-1.0.0/deeplr/man/toFrench.Rd | 12 ++--- deeplr-1.0.0/deeplr/man/toFrench2.Rd |only deeplr-1.0.0/deeplr/man/toGerman.Rd | 12 ++--- deeplr-1.0.0/deeplr/man/toGerman2.Rd |only deeplr-1.0.0/deeplr/man/toItalian.Rd | 12 ++--- deeplr-1.0.0/deeplr/man/toItalian2.Rd |only deeplr-1.0.0/deeplr/man/toPolish.Rd | 12 ++--- deeplr-1.0.0/deeplr/man/toPolish2.Rd |only deeplr-1.0.0/deeplr/man/toSpanish.Rd | 12 ++--- deeplr-1.0.0/deeplr/man/toSpanish2.Rd |only deeplr-1.0.0/deeplr/man/translate.Rd | 12 ++--- deeplr-1.0.0/deeplr/man/translate2.Rd |only deeplr-1.0.0/deeplr/man/usage.Rd |only 36 files changed, 204 insertions(+), 93 deletions(-)
Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into
different SQL dialects. These dialects include 'Microsoft Sql Server', 'Oracle',
'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', and 'Microsoft PDW'.
Author: Martijn Schuemie [aut, cre],
Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Diff between SqlRender versions 1.4.8 dated 2018-02-26 and 1.5.0 dated 2018-05-28
DESCRIPTION | 16 ++--- MD5 | 34 +++++------ NEWS | 14 ++++ R/HelperFunctions.R | 48 ++++++++-------- R/RenderSql.R | 20 ++++-- README.md | 9 +-- build/vignette.rds |binary inst/csv/replacementPatterns.csv | 49 ++++++++++------ inst/doc/UsingSqlRender.pdf |binary inst/java/SqlRender.jar |binary java/org/ohdsi/sql/TestSqlRender.java | 4 - man/camelCaseToSnakeCase.Rd | 4 - man/loadRenderTranslateSql.Rd | 5 + man/renderSql.Rd | 9 ++- man/renderSqlFile.Rd | 5 + man/snakeCaseToCamelCase.Rd | 4 - tests/testthat/test-helperFunctions.R | 46 ++++++++++----- tests/testthat/test-translateSql.R | 99 +++++++++++++++++++++++++++++++++- 18 files changed, 264 insertions(+), 102 deletions(-)
Title: Plot Marginal Effects from Linear Models
Description: Plot marginal effects for interactions estimated
from linear models.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>
Diff between plotMElm versions 0.1.4 dated 2016-06-01 and 0.1.5 dated 2018-05-28
DESCRIPTION | 10 +++---- MD5 | 13 +++++---- NEWS | 8 +++++ R/plot_me.R | 6 ++-- README.md | 79 ++++++++++++++++++++++++++++----------------------------- man/plot_me.Rd | 1 tools |only 7 files changed, 64 insertions(+), 53 deletions(-)
Title: Access and Process Data and Documents of the Manifesto Project
Description: Provides access to coded election programmes from the Manifesto
Corpus and to the Manifesto Project's Main Dataset and routines to analyse this
data. The Manifesto Project <https://manifesto-project.wzb.eu> collects and
analyses election programmes across time and space to measure the political
preferences of parties. The Manifesto Corpus contains the collected and
annotated election programmes in the Corpus format of the package 'tm' to enable
easy use of text processing and text mining functionality. Specific functions
for scaling of coded political texts are included.
Author: Jirka Lewandowski [aut, cre],
Nicolas Merz [aut],
Sven Regel [ctb],
Pola Lehmann [ctb],
Paul Muscat [ctb]
Maintainer: Jirka Lewandowski <jirka.lewandowski@wzb.eu>
Diff between manifestoR versions 1.2.4 dated 2017-05-10 and 1.3.0 dated 2018-05-28
ChangeLog | 12 ++++ DESCRIPTION | 29 +++++------ MD5 | 47 +++++++++--------- NAMESPACE | 19 ++++++- R/cache.R | 26 ++++++---- R/clarity.R | 84 +++++++++++++++++++++++--------- R/codebook.R |only R/codes.R | 101 ++++++++++++++++++++++++++++++++------- R/dataset.R | 4 + R/db_api.R | 15 +++++ R/globals.R | 2 R/manifesto.R | 10 ++- R/manifestoR-package.r | 16 +++++- README.md | 12 ++++ build/vignette.rds |binary inst/doc/manifestoRworkflow.pdf |binary man/aggregate_pers.Rd | 5 + man/aggregate_pers_cee.Rd |only man/categories.Rd | 6 ++ man/cmp_codes.Rd | 11 +++- man/manifestoR.Rd | 20 ++++++- man/mp_clarity.Rd | 10 +-- man/mp_codebook.Rd |only man/mp_interpolate.Rd | 3 - man/mp_rmps.Rd | 14 +++++ vignettes/manifestoRworkflow.Rmd | 14 +++-- 26 files changed, 345 insertions(+), 115 deletions(-)
Title: Generalised Management Strategy Evaluation Simulator
Description: Integrates game theory and ecological theory to construct
social-ecological models that simulate the management of populations and
stakeholder actions. These models build off of a previously developed
management strategy evaluation (MSE) framework to simulate all aspects of
management: population dynamics, manager observation of populations, manager
decision making, and stakeholder responses to management decisions. The
newly developed generalised management strategy evaluation (GMSE)
framework uses genetic algorithms to mimic the decision-making process of
managers and stakeholders under conditions of change, uncertainty, and
conflict. Simulations can be run using gmse(), gmse_apply(), and
gmse_gui() functions.
Author: A. Bradley Duthie [aut, cre] (<https://orcid.org/0000-0001-8343-4995>),
Nils Bunnefeld [ctb, fnd] (<https://orcid.org/0000-0002-1349-4463>),
Jeremy Cusack [ctb] (<https://orcid.org/0000-0003-3004-1586>),
Isabel Jones [ctb] (<https://orcid.org/0000-0002-8361-1370>),
Jeroen Minderman [ctb] (<https://orcid.org/0000-0002-8451-5540>),
Erlend Nilsen [ctb] (<https://orcid.org/0000-0002-5119-8331>),
Rocio Pozo [ctb] (<https://orcid.org/0000-0002-7546-8076>),
Sarobidy Rakotonarivo [ctb] (<https://orcid.org/0000-0002-8032-1431>),
Bram Van Moorter [ctb] (<https://orcid.org/0000-0002-3196-1993>)
Maintainer: A. Bradley Duthie <brad.duthie@gmail.com>
Diff between GMSE versions 0.4.0.3 dated 2018-05-14 and 0.4.0.4 dated 2018-05-28
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- R/gmse.R | 6 ++---- R/gmse_apply.R | 3 +-- README.md | 27 +++++++++++++++++++++++++++ inst/doc/SI4.pdf |binary inst/doc/SI5.pdf |binary man/gmse.Rd | 2 +- src/game.c | 19 ++++++++++++------- 9 files changed, 55 insertions(+), 26 deletions(-)
Title: Hydrologic Modelling System for R Users
Description: Hydrologic modelling system is an object oriented tool which enables R users to simulate and analyze hydrologic events. The package proposes functions and methods for construction, simulation, visualization, and calibration of hydrologic systems.
Author: Rezgar Arabzadeh ; Shahab Araghinejad
Maintainer: Rezgar Arabzadeh <rezgararabzadeh@ut.ac.ir>
Diff between RHMS versions 1.3 dated 2017-07-27 and 1.4 dated 2018-05-28
DESCRIPTION | 11 ++-- MD5 | 44 ++++++++++------- NAMESPACE | 10 +++ R/addObjectToBasin.R | 4 - R/baseFlowSeparation.R |only R/baseFlowSeparation.base.R |only R/baseFlowSeparation.default.R |only R/createSubbasin.R | 4 + R/createSubbasin.base.R | 32 +++++++++++- R/createSubbasin.default.R | 59 +++++++++++++++++++---- R/loss.base.R | 16 ++++-- R/plot.createBasin.R |only R/plot.sim.R | 96 +++++++++++++++++++++++++------------- R/sim.base.R | 34 +++++++------ R/transform.default.R | 9 +-- R/tune.R | 2 data/Zaab.rda |binary man/RHMS-package.Rd | 19 +++---- man/addObjectToBasin.Rd | 8 ++- man/baseFlowSeparation.Rd |only man/baseFlowSeparation.base.Rd |only man/baseFlowSeparation.default.Rd |only man/createSubbasin.Rd | 60 ++++++----------------- man/createSubbasin.base.Rd | 64 +++++++------------------ man/createSubbasin.default.Rd | 70 ++++++++------------------- man/plot.createBasin.Rd |only man/tune.Rd | 22 +++++--- 27 files changed, 313 insertions(+), 251 deletions(-)
Title: Wrapper for the 'OSRM' API
Description: Wrapper around the 'Open Source Routing Machine (OSRM)'
API <http://project-osrm.org/>. 'osrmr' works with API versions
4 and 5 and can handle servers that run locally as well as the
'OSRM' webserver.
Author: Adrian Staempfli, Christoph Strauss
Maintainer: Adrian Staempfli <adrian.staempfli@fhsg.ch>
Diff between osrmr versions 0.1.28 dated 2018-03-28 and 0.1.29 dated 2018-05-28
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- NEWS.md | 6 ++++++ R/nearest.R | 2 +- R/server.R | 4 ++++ R/viaroute.R | 20 ++++++++++++++------ inst/doc/osrmr.html | 4 ++-- man/nearest_api_v5.Rd | 2 +- man/run_server.Rd | 5 +++++ man/viaroute.Rd | 4 ++-- man/viaroute_api_v5.Rd | 2 +- 11 files changed, 50 insertions(+), 27 deletions(-)
Title: Multidimensional Iterative Proportional Fitting and Alternative
Models
Description: An implementation of the iterative proportional fitting (IPFP),
maximum likelihood, minimum chi-square and weighted least squares procedures
for updating a N-dimensional array with respect to given target marginal
distributions (which, in turn can be multidimensional). The package also
provides an application of the IPFP to simulate multivariate Bernoulli
distributions.
Author: Johan Barthelemy [aut, cre],
Thomas Suesse [aut],
Mohammad Namazi-Rad [ctb]
Maintainer: Johan Barthelemy <johan@uow.edu.au>
Diff between mipfp versions 3.1 dated 2016-12-01 and 3.2 dated 2018-05-28
DESCRIPTION | 12 +++++++----- MD5 | 4 ++-- R/utils.R | 4 ++-- 3 files changed, 11 insertions(+), 9 deletions(-)
Title: A Handbook of Statistical Analyses Using R (3rd Edition)
Description: Functions, data sets, analyses and examples from the
third edition of the book
''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and Brian S.
Everitt, Chapman & Hall/CRC, 2014). The first chapter
of the book, which is entitled ''An Introduction to R'',
is completely included in this package, for all other chapters,
a vignette containing all data analyses is available. In addition,
Sweave source code for slides of selected chapters is included in
this package (see HSAUR3/inst/slides). The publishers web page is
'<http://www.crcpress.com/product/isbn/9781482204582>'.
Author: Torsten Hothorn and Brian S. Everitt
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between HSAUR3 versions 1.0-8 dated 2017-08-18 and 1.0-9 dated 2018-05-28
DESCRIPTION | 8 - MD5 | 112 +++++++++++++------------- build/vignette.rds |binary data/BCG.rda |binary data/CYGOB1.rda |binary data/Lanza.rda |binary data/birthdeathrates.rda |binary data/bladdercancer.rda |binary data/epilepsy.rda |binary data/foster.rda |binary data/heptathlon.rda |binary data/meteo.rda |binary data/orallesions.rda |binary data/phosphate.rda |binary data/pistonrings.rda |binary data/planets.rda |binary data/plasma.rda |binary data/polyps.rda |binary data/rearrests.rda |binary data/roomwidth.rda |binary data/schizophrenia.rda |binary data/schizophrenia2.rda |binary data/smoking.rda |binary data/students.rda |binary data/suicides.rda |binary data/toothpaste.rda |binary data/voting.rda |binary data/water.rda |binary data/watervoles.rda |binary data/waves.rda |binary data/weightgain.rda |binary inst/NEWS | 4 inst/doc/Ch_analysing_longitudinal_dataI.pdf |binary inst/doc/Ch_analysing_longitudinal_dataII.pdf |binary inst/doc/Ch_analysis_of_variance.pdf |binary inst/doc/Ch_bayesian_inference.pdf |binary inst/doc/Ch_cluster_analysis.pdf |binary inst/doc/Ch_conditional_inference.pdf |binary inst/doc/Ch_density_estimation.pdf |binary inst/doc/Ch_errata.pdf |binary inst/doc/Ch_gam.pdf |binary inst/doc/Ch_graphical_display.pdf |binary inst/doc/Ch_introduction_to_R.pdf |binary inst/doc/Ch_logistic_regression_glm.pdf |binary inst/doc/Ch_meta_analysis.pdf |binary inst/doc/Ch_missing_values.R | 4 inst/doc/Ch_missing_values.Rnw | 8 - inst/doc/Ch_missing_values.pdf |binary inst/doc/Ch_multidimensional_scaling.pdf |binary inst/doc/Ch_multiple_linear_regression.pdf |binary inst/doc/Ch_principal_components_analysis.pdf |binary inst/doc/Ch_quantile_regression.pdf |binary inst/doc/Ch_recursive_partitioning.pdf |binary inst/doc/Ch_simple_inference.pdf |binary inst/doc/Ch_simultaneous_inference.pdf |binary inst/doc/Ch_survival_analysis.pdf |binary vignettes/Ch_missing_values.Rnw | 8 - 57 files changed, 74 insertions(+), 70 deletions(-)
Title: Australian Tax Policy Analysis
Description: Utilities for costing and evaluating Australian tax policy, including high-performance tax and transfer calculators, a fast method of projecting tax collections, and an interface to common indices from the Australian Bureau of Statistics. Written to support Grattan Institute's Australian Perspectives program. For access to the 'taxstats' package, please run
install.packages("taxstats", repos = "https://hughparsonage.github.io/tax-drat/", type = "source").
N.B. The 'taxstats' package is approximately 50 MB.
Author: Hugh Parsonage [aut, cre],
Tim Cameron [aut],
Brendan Coates [aut],
William Young [aut],
Ittima Cherastidtham [dtc],
W. Karsten [ctb],
M. Enrique Garcia [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>
Diff between grattan versions 1.5.3.7 dated 2018-02-22 and 1.6.0.0 dated 2018-05-28
grattan-1.5.3.7/grattan/vignettes/pinp.cls |only grattan-1.6.0.0/grattan/DESCRIPTION | 27 grattan-1.6.0.0/grattan/MD5 | 86 - grattan-1.6.0.0/grattan/NAMESPACE | 3 grattan-1.6.0.0/grattan/NEWS.md | 152 +- grattan-1.6.0.0/grattan/R/CG_inflator.R | 157 +- grattan-1.6.0.0/grattan/R/LITO.R | 36 grattan-1.6.0.0/grattan/R/ModellingSuperannuationChanges.R | 2 grattan-1.6.0.0/grattan/R/RcppExports.R | 328 ++--- grattan-1.6.0.0/grattan/R/aus_pop_qtr.R | 4 grattan-1.6.0.0/grattan/R/cpi_inflator_quarters.R | 112 - grattan-1.6.0.0/grattan/R/differentially_uprate_wage.R | 123 +- grattan-1.6.0.0/grattan/R/income_tax.R | 27 grattan-1.6.0.0/grattan/R/koffset.R |only grattan-1.6.0.0/grattan/R/lf_inflator.R | 500 ++++---- grattan-1.6.0.0/grattan/R/model_income_tax.R | 240 +++ grattan-1.6.0.0/grattan/R/progressivity.R |only grattan-1.6.0.0/grattan/R/project.R | 609 +++++----- grattan-1.6.0.0/grattan/R/residential_property_prices.R | 24 grattan-1.6.0.0/grattan/R/revenue_foregone.R |only grattan-1.6.0.0/grattan/R/sysdata.rda |binary grattan-1.6.0.0/grattan/R/utils.R | 172 +- grattan-1.6.0.0/grattan/R/wage_inflator.R | 434 +++---- grattan-1.6.0.0/grattan/R/zzz.R | 174 +- grattan-1.6.0.0/grattan/data/residential_property_prices.rda |binary grattan-1.6.0.0/grattan/inst/doc/grattan.Rmd | 7 grattan-1.6.0.0/grattan/inst/doc/grattan.html | 76 - grattan-1.6.0.0/grattan/man/apply_super_caps_and_div293.Rd | 2 grattan-1.6.0.0/grattan/man/cpi_inflator_quarters.Rd | 2 grattan-1.6.0.0/grattan/man/differentially_uprate_wage.Rd | 2 grattan-1.6.0.0/grattan/man/inverse_average_rate.Rd | 2 grattan-1.6.0.0/grattan/man/lf_inflator.Rd | 2 grattan-1.6.0.0/grattan/man/model_income_tax.Rd | 42 grattan-1.6.0.0/grattan/man/model_new_caps_and_div293.Rd | 6 grattan-1.6.0.0/grattan/man/progressivity.Rd |only grattan-1.6.0.0/grattan/man/residential_property_prices.Rd | 2 grattan-1.6.0.0/grattan/man/revenue_foregone.Rd |only grattan-1.6.0.0/grattan/man/wage_inflator.Rd | 2 grattan-1.6.0.0/grattan/src/MedicareLevySingle.cpp | 21 grattan-1.6.0.0/grattan/tests/testthat/test_LITO.R | 53 grattan-1.6.0.0/grattan/tests/testthat/test_aus_pop_qtr.R | 13 grattan-1.6.0.0/grattan/tests/testthat/test_cpi.R | 317 ++--- grattan-1.6.0.0/grattan/tests/testthat/test_differentially_uprate_wage.R | 235 +-- grattan-1.6.0.0/grattan/tests/testthat/test_income_tax_cpp.R | 43 grattan-1.6.0.0/grattan/tests/testthat/test_model_income_tax.R | 140 ++ grattan-1.6.0.0/grattan/tests/testthat/test_progressivity.R |only grattan-1.6.0.0/grattan/tests/testthat/test_revenue_foregone.R |only grattan-1.6.0.0/grattan/vignettes/grattan.Rmd | 7 48 files changed, 2339 insertions(+), 1845 deletions(-)
Title: Charles's Utility Function using Formula
Description: Utility functions that provides wrapper to descriptive base functions
like cor, mean and table. It makes use of the formula interface to pass
variables to functions. It also provides operators to concatenate (%+%), to
repeat (%n%) and manage character vectors for nice display.
Author: Charles-Édouard Giguère
Maintainer: Charles-Édouard Giguère <ce.giguere@gmail.com>
Diff between CUFF versions 1.4 dated 2018-01-04 and 1.5 dated 2018-05-28
ChangeLog | 8 + DESCRIPTION | 8 - MD5 | 12 + NAMESPACE | 1 R/corr.R | 375 ++++++++++++++++++++++++++++++++++-------------------------- R/ftab.R |only man/corr.Rd | 6 man/ftab.Rd |only 8 files changed, 242 insertions(+), 168 deletions(-)
Title: Cognitive Diagnosis Modeling
Description: Functions for cognitive diagnosis modeling and multidimensional item response modeling
for dichotomous and polytomous item responses. This package enables the estimation of
the DINA and DINO model (Junker & Sijtsma, 2001, <doi:10.1177/01466210122032064>),
the multiple group (polytomous) GDINA model (de la Torre, 2011,
<doi:10.1007/s11336-011-9207-7>), the multiple choice DINA model (de la Torre, 2009,
<doi:10.1177/0146621608320523>), the general diagnostic model (GDM; von Davier, 2008,
<doi:10.1348/000711007X193957>), the structured latent class model (SLCA; Formann, 1992,
<doi:10.1080/01621459.1992.10475229>) and regularized latent class analysis
(Chen, Li, Liu, & Ying, 2017, <doi:10.1007/s11336-016-9545-6>).
See George, Robitzsch, Kiefer, Gross, and Uenlue (2017) <doi:10.18637/jss.v074.i02>
for further details on estimation and the package structure.
For tutorials on how to use the CDM package see
George and Robitzsch (2015, <doi:10.20982/tqmp.11.3.p189>) as well as
Ravand and Robitzsch (2015).
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut],
Ann Cathrice George [aut], Ali Uenlue [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between CDM versions 6.2-91 dated 2018-05-02 and 6.3-45 dated 2018-05-28
CDM-6.2-91/CDM/R/cdm_elnet_threshold.R |only CDM-6.2-91/CDM/R/cdm_lasso_threshold.R |only CDM-6.2-91/CDM/R/cdm_mcp_threshold.R |only CDM-6.2-91/CDM/R/cdm_penalty_elnet.R |only CDM-6.2-91/CDM/R/cdm_penalty_lasso.R |only CDM-6.2-91/CDM/R/cdm_penalty_mcp.R |only CDM-6.2-91/CDM/R/cdm_penalty_ridge.R |only CDM-6.2-91/CDM/R/cdm_penalty_scad.R |only CDM-6.2-91/CDM/R/cdm_penalty_scadL2.R |only CDM-6.2-91/CDM/R/cdm_penalty_tlp.R |only CDM-6.2-91/CDM/R/cdm_penalty_tlp_approximation.R |only CDM-6.2-91/CDM/R/cdm_ridge_threshold.R |only CDM-6.2-91/CDM/R/cdm_scadL2_threshold.R |only CDM-6.2-91/CDM/R/cdm_scad_threshold.R |only CDM-6.2-91/CDM/R/cdm_soft_threshold.R |only CDM-6.2-91/CDM/R/cdm_tlp_threshold.R |only CDM-6.2-91/CDM/R/gdina_designmatrices.R |only CDM-6.3-45/CDM/DESCRIPTION | 8 CDM-6.3-45/CDM/MD5 | 723 +++++----- CDM-6.3-45/CDM/NAMESPACE | 19 CDM-6.3-45/CDM/R/CDM_rbind_fill.R | 12 CDM-6.3-45/CDM/R/CDM_require_namespace.R | 8 CDM-6.3-45/CDM/R/IRT.IC.R | 14 CDM-6.3-45/CDM/R/IRT.RMSD.R | 52 CDM-6.3-45/CDM/R/IRT.anova.R | 24 CDM-6.3-45/CDM/R/IRT.classify.R |only CDM-6.3-45/CDM/R/IRT.compareModels.R | 44 CDM-6.3-45/CDM/R/IRT.data.R | 6 CDM-6.3-45/CDM/R/IRT.derivedParameters.R | 26 CDM-6.3-45/CDM/R/IRT.expectedCounts.R | 30 CDM-6.3-45/CDM/R/IRT.factor.scores.R | 82 - CDM-6.3-45/CDM/R/IRT.irfprob.R | 24 CDM-6.3-45/CDM/R/IRT.irfprobPlot.R | 74 - CDM-6.3-45/CDM/R/IRT.itemfit.R | 18 CDM-6.3-45/CDM/R/IRT.jackknife.R | 4 CDM-6.3-45/CDM/R/IRT.jackknife.gdina.R | 66 CDM-6.3-45/CDM/R/IRT.likelihood.R | 20 CDM-6.3-45/CDM/R/IRT.modelfit.R | 22 CDM-6.3-45/CDM/R/IRT.parameterTable.R | 4 CDM-6.3-45/CDM/R/IRT.posterior.R | 20 CDM-6.3-45/CDM/R/IRT.predict.R | 14 CDM-6.3-45/CDM/R/IRT.predict.R.R | 28 CDM-6.3-45/CDM/R/IRT.repDesign.R | 28 CDM-6.3-45/CDM/R/IRT.se.din.R | 32 CDM-6.3-45/CDM/R/IRT_RMSD_calc_distributions.R | 26 CDM-6.3-45/CDM/R/IRT_RMSD_calc_md.R | 18 CDM-6.3-45/CDM/R/IRT_RMSD_calc_rmsd.R | 28 CDM-6.3-45/CDM/R/IRT_RMSD_proc_dist_item.R | 4 CDM-6.3-45/CDM/R/IRT_frequencies_default.R | 22 CDM-6.3-45/CDM/R/IRT_se_gdina.R | 18 CDM-6.3-45/CDM/R/IRT_se_gdina_calc_individual_likelihood.R | 12 CDM-6.3-45/CDM/R/IRT_se_gdina_calc_skill_distribution.R | 6 CDM-6.3-45/CDM/R/RcppExports.R | 78 - CDM-6.3-45/CDM/R/WaldTest.R | 8 CDM-6.3-45/CDM/R/abs_approx.R | 4 CDM-6.3-45/CDM/R/abs_approx_D1.R | 4 CDM-6.3-45/CDM/R/attach_environment.R | 6 CDM-6.3-45/CDM/R/cdi.kli.R | 30 CDM-6.3-45/CDM/R/cdm.est.calc.accuracy.R | 163 -- CDM-6.3-45/CDM/R/cdm_add_ridge_diagonal.R | 6 CDM-6.3-45/CDM/R/cdm_calc_increment.R | 6 CDM-6.3-45/CDM/R/cdm_calc_increment_regularization.R | 6 CDM-6.3-45/CDM/R/cdm_calc_ll_with_counts.R | 4 CDM-6.3-45/CDM/R/cdm_calc_posterior.R | 16 CDM-6.3-45/CDM/R/cdm_est_calc_accuracy_version1.R |only CDM-6.3-45/CDM/R/cdm_est_calc_accuracy_version1_computation.R |only CDM-6.3-45/CDM/R/cdm_est_calc_accuracy_version1_print.R |only CDM-6.3-45/CDM/R/cdm_est_calc_accuracy_version2.R |only CDM-6.3-45/CDM/R/cdm_est_calc_accuracy_version2_classify_simulated_data.R |only CDM-6.3-45/CDM/R/cdm_fa1.R | 14 CDM-6.3-45/CDM/R/cdm_fit_normal.R | 4 CDM-6.3-45/CDM/R/cdm_increment_trimming_after_mstep.R | 6 CDM-6.3-45/CDM/R/cdm_ll_numerical_differentiation.R | 4 CDM-6.3-45/CDM/R/cdm_log.R |only CDM-6.3-45/CDM/R/cdm_matrix1.R | 6 CDM-6.3-45/CDM/R/cdm_matrix2.R | 6 CDM-6.3-45/CDM/R/cdm_parameter_regularization.R | 32 CDM-6.3-45/CDM/R/cdm_pem_acceleration.R | 16 CDM-6.3-45/CDM/R/cdm_pem_acceleration_assign_output_parameters.R | 4 CDM-6.3-45/CDM/R/cdm_pem_adjust_dimension.R | 10 CDM-6.3-45/CDM/R/cdm_pem_create_parameter_index.R | 4 CDM-6.3-45/CDM/R/cdm_penalty_threshold_elnet.R |only CDM-6.3-45/CDM/R/cdm_penalty_threshold_lasso.R |only CDM-6.3-45/CDM/R/cdm_penalty_threshold_mcp.R |only CDM-6.3-45/CDM/R/cdm_penalty_threshold_ridge.R |only CDM-6.3-45/CDM/R/cdm_penalty_threshold_scad.R |only CDM-6.3-45/CDM/R/cdm_penalty_threshold_scadL2.R |only CDM-6.3-45/CDM/R/cdm_penalty_threshold_tlp.R |only CDM-6.3-45/CDM/R/cdm_penalty_values.R | 16 CDM-6.3-45/CDM/R/cdm_penalty_values_elnet.R |only CDM-6.3-45/CDM/R/cdm_penalty_values_lasso.R |only CDM-6.3-45/CDM/R/cdm_penalty_values_mcp.R |only CDM-6.3-45/CDM/R/cdm_penalty_values_ridge.R |only CDM-6.3-45/CDM/R/cdm_penalty_values_scad.R |only CDM-6.3-45/CDM/R/cdm_penalty_values_scadL2.R |only CDM-6.3-45/CDM/R/cdm_penalty_values_tlp.R |only CDM-6.3-45/CDM/R/cdm_penalty_values_tlp_approximation.R |only CDM-6.3-45/CDM/R/cdm_positivity_restriction.R | 4 CDM-6.3-45/CDM/R/cdm_print_summary_computation_time.R | 6 CDM-6.3-45/CDM/R/cdm_print_summary_data_frame.R | 4 CDM-6.3-45/CDM/R/cdm_print_summary_information_criteria.R | 26 CDM-6.3-45/CDM/R/cdm_print_summary_package.R | 4 CDM-6.3-45/CDM/R/cdm_tetrachoric.R | 42 CDM-6.3-45/CDM/R/cdm_trim_increment.R | 12 CDM-6.3-45/CDM/R/check.input.R | 50 CDM-6.3-45/CDM/R/confint.din.R | 20 CDM-6.3-45/CDM/R/dataframe_summary.R | 16 CDM-6.3-45/CDM/R/deltaMethod.R | 42 CDM-6.3-45/CDM/R/din.R | 296 ++-- CDM-6.3-45/CDM/R/din.deterministic.R | 50 CDM-6.3-45/CDM/R/din.deterministic_alg.R | 32 CDM-6.3-45/CDM/R/din.equivalent.class.R | 30 CDM-6.3-45/CDM/R/din.partable.R | 102 - CDM-6.3-45/CDM/R/din.validate.qmatrix.R | 50 CDM-6.3-45/CDM/R/din_equivalent_class_latent_response.R | 12 CDM-6.3-45/CDM/R/discrim_index_computation.R | 18 CDM-6.3-45/CDM/R/entropy.lca.R | 26 CDM-6.3-45/CDM/R/equivalent.dina.R | 44 CDM-6.3-45/CDM/R/equivalent.skillclasses.R | 40 CDM-6.3-45/CDM/R/eval_likelihood.R |only CDM-6.3-45/CDM/R/expand_matrix.R | 4 CDM-6.3-45/CDM/R/gdd.R | 12 CDM-6.3-45/CDM/R/gdina.R | 138 - CDM-6.3-45/CDM/R/gdina.dif.R | 34 CDM-6.3-45/CDM/R/gdina.dif_aux.R | 74 - CDM-6.3-45/CDM/R/gdina.wald.R | 36 CDM-6.3-45/CDM/R/gdina.wald_aux.R | 26 CDM-6.3-45/CDM/R/gdina_attr_rpf_hogdina.R | 24 CDM-6.3-45/CDM/R/gdina_attribute_patterns_reduced_skillspace.R | 22 CDM-6.3-45/CDM/R/gdina_attribute_structure_hogdina.R | 10 CDM-6.3-45/CDM/R/gdina_calc_deviance.R | 14 CDM-6.3-45/CDM/R/gdina_calc_expected_counts.R | 18 CDM-6.3-45/CDM/R/gdina_calc_individual_likelihood.R | 6 CDM-6.3-45/CDM/R/gdina_calc_individual_posterior.R | 14 CDM-6.3-45/CDM/R/gdina_calc_prob.R | 22 CDM-6.3-45/CDM/R/gdina_calc_prob_one_item.R | 16 CDM-6.3-45/CDM/R/gdina_create_attribute_patterns.R | 4 CDM-6.3-45/CDM/R/gdina_create_designmatrices.R | 38 CDM-6.3-45/CDM/R/gdina_create_designmatrices_monotonicity_constraints.R | 8 CDM-6.3-45/CDM/R/gdina_designmatrices_create_Aj.R |only CDM-6.3-45/CDM/R/gdina_designmatrices_create_Aj_general.R |only CDM-6.3-45/CDM/R/gdina_designmatrices_create_Mj.R |only CDM-6.3-45/CDM/R/gdina_designmatrices_create_Mj_general.R |only CDM-6.3-45/CDM/R/gdina_init_class_probabilities.R | 8 CDM-6.3-45/CDM/R/gdina_init_item_parameters.R | 26 CDM-6.3-45/CDM/R/gdina_itemfit.R | 16 CDM-6.3-45/CDM/R/gdina_mstep_item_ml.R | 20 CDM-6.3-45/CDM/R/gdina_mstep_item_ml_algorithm.R | 6 CDM-6.3-45/CDM/R/gdina_mstep_item_ml_rrum.R | 30 CDM-6.3-45/CDM/R/gdina_mstep_item_ml_rrum2.R | 18 CDM-6.3-45/CDM/R/gdina_mstep_item_ml_update_parameter.R | 10 CDM-6.3-45/CDM/R/gdina_mstep_item_parameters.R | 20 CDM-6.3-45/CDM/R/gdina_mstep_item_parameters_designmatrix.R | 14 CDM-6.3-45/CDM/R/gdina_mstep_item_uls.R | 58 CDM-6.3-45/CDM/R/gdina_mstep_mono_constraints_penalty.R | 4 CDM-6.3-45/CDM/R/gdina_partable.R | 52 CDM-6.3-45/CDM/R/gdina_post_calc_se.R | 24 CDM-6.3-45/CDM/R/gdina_post_pattern_output.R | 24 CDM-6.3-45/CDM/R/gdina_post_posterior_output.R | 28 CDM-6.3-45/CDM/R/gdina_post_skill_pattern.R | 24 CDM-6.3-45/CDM/R/gdina_prob_item_designmatrix.R | 8 CDM-6.3-45/CDM/R/gdina_probitem.R | 25 CDM-6.3-45/CDM/R/gdina_probs_invlink.R |only CDM-6.3-45/CDM/R/gdina_proc_check_admissible_rules.R | 8 CDM-6.3-45/CDM/R/gdina_proc_define_model_parameters.R | 10 CDM-6.3-45/CDM/R/gdina_proc_delta_indices.R | 14 CDM-6.3-45/CDM/R/gdina_proc_hogdina_theta_distribution.R | 6 CDM-6.3-45/CDM/R/gdina_proc_item_response_patterns.R | 22 CDM-6.3-45/CDM/R/gdina_proc_multiple_group_objects.R | 14 CDM-6.3-45/CDM/R/gdina_proc_noninvariance_multiple_groups.R | 16 CDM-6.3-45/CDM/R/gdina_proc_regularization.R | 4 CDM-6.3-45/CDM/R/gdina_proc_sequential_items.R | 12 CDM-6.3-45/CDM/R/gdina_proc_spec_rrum.R | 4 CDM-6.3-45/CDM/R/gdina_proc_split_item_response_patterns.R | 10 CDM-6.3-45/CDM/R/gdina_progress_em_algorithm.R | 24 CDM-6.3-45/CDM/R/gdina_progress_start_estimation.R | 4 CDM-6.3-45/CDM/R/gdina_reduced_skillspace.R | 20 CDM-6.3-45/CDM/R/gdina_se_itemwise.R | 65 CDM-6.3-45/CDM/R/gdm.R | 102 - CDM-6.3-45/CDM/R/gdm_Qmatrix.R | 10 CDM-6.3-45/CDM/R/gdm_calc_counts.R | 16 CDM-6.3-45/CDM/R/gdm_calc_deviance.R | 14 CDM-6.3-45/CDM/R/gdm_calc_distributionmoments.R | 16 CDM-6.3-45/CDM/R/gdm_calc_ic.R | 26 CDM-6.3-45/CDM/R/gdm_calc_loglikelihood.R | 8 CDM-6.3-45/CDM/R/gdm_calc_post.R | 14 CDM-6.3-45/CDM/R/gdm_calc_prob.R | 8 CDM-6.3-45/CDM/R/gdm_collect_itempars.R | 26 CDM-6.3-45/CDM/R/gdm_constraints_itempars.R | 16 CDM-6.3-45/CDM/R/gdm_constraints_itempars2.R | 16 CDM-6.3-45/CDM/R/gdm_create_delta_designmatrix.R | 14 CDM-6.3-45/CDM/R/gdm_data_prep.R | 38 CDM-6.3-45/CDM/R/gdm_est_a.R | 30 CDM-6.3-45/CDM/R/gdm_est_a_cat.R | 22 CDM-6.3-45/CDM/R/gdm_est_a_centerslopes.R | 6 CDM-6.3-45/CDM/R/gdm_est_b.R | 8 CDM-6.3-45/CDM/R/gdm_est_normalskills.R | 38 CDM-6.3-45/CDM/R/gdm_est_skillspace.R | 8 CDM-6.3-45/CDM/R/gdm_est_skillspace_traits.R | 14 CDM-6.3-45/CDM/R/gdm_inits_b.R | 8 CDM-6.3-45/CDM/R/gdm_numdiff_index.R | 10 CDM-6.3-45/CDM/R/gdm_person_parameters.R | 32 CDM-6.3-45/CDM/R/gdm_prep_calc_counts.R | 6 CDM-6.3-45/CDM/R/gdm_proc_response_indicators.R | 4 CDM-6.3-45/CDM/R/gdm_progress_em_algorithm.R | 24 CDM-6.3-45/CDM/R/gdm_thetadesign.R | 14 CDM-6.3-45/CDM/R/ideal.response.pattern.R | 8 CDM-6.3-45/CDM/R/item_by_group.R | 28 CDM-6.3-45/CDM/R/itemfit.rmsea.R | 14 CDM-6.3-45/CDM/R/itemfit.sx2.R | 96 - CDM-6.3-45/CDM/R/itemfit_rmsea_helper.R | 16 CDM-6.3-45/CDM/R/itemfit_sx2_calc_itemfit_oneitem.R | 53 CDM-6.3-45/CDM/R/itemfit_sx2_calc_scoredistribution_R.R | 10 CDM-6.3-45/CDM/R/jkestimates.R | 10 CDM-6.3-45/CDM/R/label_significance_level.R | 6 CDM-6.3-45/CDM/R/logpars2rrumpars.R | 4 CDM-6.3-45/CDM/R/mcdina.R | 152 +- CDM-6.3-45/CDM/R/mcdina.est.item.R | 32 CDM-6.3-45/CDM/R/mcdina.postproc.R | 60 CDM-6.3-45/CDM/R/mcdina.simul.R | 22 CDM-6.3-45/CDM/R/mcdina_prepare.R | 150 +- CDM-6.3-45/CDM/R/modelfit.cor.R | 112 - CDM-6.3-45/CDM/R/modelfit.cor.din.R | 88 - CDM-6.3-45/CDM/R/modelfit.cor2.R | 62 CDM-6.3-45/CDM/R/numerical_Hessian.R | 32 CDM-6.3-45/CDM/R/numerical_Hessian_partial.R | 12 CDM-6.3-45/CDM/R/osink.R | 6 CDM-6.3-45/CDM/R/personfit.appropriateness.R | 124 - CDM-6.3-45/CDM/R/plot.din.R | 56 CDM-6.3-45/CDM/R/plot.gdina.R | 14 CDM-6.3-45/CDM/R/plot.gdm.R | 64 CDM-6.3-45/CDM/R/plot.slca.R | 14 CDM-6.3-45/CDM/R/predict.CDM.R | 6 CDM-6.3-45/CDM/R/prep_data_long_format.R |only CDM-6.3-45/CDM/R/print.din.R | 30 CDM-6.3-45/CDM/R/print.gdina.R | 32 CDM-6.3-45/CDM/R/print.gdm.R | 32 CDM-6.3-45/CDM/R/print.mcdina.R | 32 CDM-6.3-45/CDM/R/print.slca.R | 30 CDM-6.3-45/CDM/R/print.summary.din.R | 50 CDM-6.3-45/CDM/R/reglca.R | 27 CDM-6.3-45/CDM/R/reglca_calc_counts.R | 16 CDM-6.3-45/CDM/R/reglca_calc_deviance.R | 12 CDM-6.3-45/CDM/R/reglca_calc_individual_likelihood.R | 4 CDM-6.3-45/CDM/R/reglca_calc_individual_posterior.R | 4 CDM-6.3-45/CDM/R/reglca_calc_probs.R | 5 CDM-6.3-45/CDM/R/reglca_dpm_smoothing.R | 6 CDM-6.3-45/CDM/R/reglca_fit_probabilities.R | 8 CDM-6.3-45/CDM/R/reglca_fit_probabilities_fit_function.R | 4 CDM-6.3-45/CDM/R/reglca_freq_ll.R | 4 CDM-6.3-45/CDM/R/reglca_init_parameters.R | 6 CDM-6.3-45/CDM/R/reglca_init_parameters_class_probs.R | 4 CDM-6.3-45/CDM/R/reglca_mstep_item_parameters.R | 4 CDM-6.3-45/CDM/R/reglca_normalize_probabilities.R | 4 CDM-6.3-45/CDM/R/reglca_proc_data.R | 10 CDM-6.3-45/CDM/R/reglca_progress_em_algorithm.R | 30 CDM-6.3-45/CDM/R/reglca_scad_threshold.R | 8 CDM-6.3-45/CDM/R/replace_NA.R | 4 CDM-6.3-45/CDM/R/rmsd_chisquare.R | 14 CDM-6.3-45/CDM/R/rowMaxs.R | 18 CDM-6.3-45/CDM/R/rrum.param.R | 26 CDM-6.3-45/CDM/R/rrumpars2logpars.R | 6 CDM-6.3-45/CDM/R/sequential.items.R | 28 CDM-6.3-45/CDM/R/sim.din.R | 22 CDM-6.3-45/CDM/R/sim.gdina.R | 48 CDM-6.3-45/CDM/R/sim.gdina.prepare.R |only CDM-6.3-45/CDM/R/sim_model.R |only CDM-6.3-45/CDM/R/skill.cor.R | 58 CDM-6.3-45/CDM/R/skillspace.approximation.R | 18 CDM-6.3-45/CDM/R/skillspace.hierarchy.R | 36 CDM-6.3-45/CDM/R/slca.R | 68 CDM-6.3-45/CDM/R/slca_calc_counts.R | 16 CDM-6.3-45/CDM/R/slca_calc_ic.R | 12 CDM-6.3-45/CDM/R/slca_calc_likelihood.R | 8 CDM-6.3-45/CDM/R/slca_calc_prob.R | 4 CDM-6.3-45/CDM/R/slca_calc_prob0.R | 14 CDM-6.3-45/CDM/R/slca_est_Xlambda.R | 20 CDM-6.3-45/CDM/R/slca_est_Xlambda_calc_deriv.R | 6 CDM-6.3-45/CDM/R/slca_est_skillspace.R | 20 CDM-6.3-45/CDM/R/slca_est_xlambda_constraint.R | 4 CDM-6.3-45/CDM/R/slca_inits_Xlambda.R | 4 CDM-6.3-45/CDM/R/slca_inits_skill_distribution.R | 16 CDM-6.3-45/CDM/R/slca_print_progress_em_algorithm.R | 22 CDM-6.3-45/CDM/R/slca_print_progress_end.R | 8 CDM-6.3-45/CDM/R/slca_proc_design_matrix_xlambda.R | 4 CDM-6.3-45/CDM/R/slca_proc_multiple_groups.R | 12 CDM-6.3-45/CDM/R/solve_add_ridge.R | 4 CDM-6.3-45/CDM/R/summary.IRT.RMSD.R | 26 CDM-6.3-45/CDM/R/summary.IRT.RMSD_print_statistics.R | 6 CDM-6.3-45/CDM/R/summary.cdi.kli.R | 6 CDM-6.3-45/CDM/R/summary.din.R | 40 CDM-6.3-45/CDM/R/summary.discrim.index.R | 14 CDM-6.3-45/CDM/R/summary.entropy.lca.R | 4 CDM-6.3-45/CDM/R/summary.gdina.R | 87 - CDM-6.3-45/CDM/R/summary.gdina.wald.R | 10 CDM-6.3-45/CDM/R/summary.gdm.R | 78 - CDM-6.3-45/CDM/R/summary.mcdina.R | 92 - CDM-6.3-45/CDM/R/summary.reglca.R | 52 CDM-6.3-45/CDM/R/summary.slca.R | 44 CDM-6.3-45/CDM/R/summary_sink.R | 8 CDM-6.3-45/CDM/R/vcov.din.R | 52 CDM-6.3-45/CDM/R/vcov.loglike.din.R | 24 CDM-6.3-45/CDM/R/zzz.R | 14 CDM-6.3-45/CDM/README.md | 3 CDM-6.3-45/CDM/inst/NEWS | 22 CDM-6.3-45/CDM/man/CDM-utilities.Rd | 48 CDM-6.3-45/CDM/man/Data-sim.Rd | 4 CDM-6.3-45/CDM/man/IRT.RMSD.Rd | 12 CDM-6.3-45/CDM/man/IRT.classify.Rd |only CDM-6.3-45/CDM/man/IRT.compareModels.Rd | 16 CDM-6.3-45/CDM/man/IRT.data.Rd | 20 CDM-6.3-45/CDM/man/IRT.expectedCounts.Rd | 12 CDM-6.3-45/CDM/man/IRT.frequencies.Rd | 4 CDM-6.3-45/CDM/man/IRT.irfprobPlot.Rd | 28 CDM-6.3-45/CDM/man/IRT.jackknife.Rd | 34 CDM-6.3-45/CDM/man/IRT.modelfit.Rd | 6 CDM-6.3-45/CDM/man/IRT.repDesign.Rd | 12 CDM-6.3-45/CDM/man/WaldTest.Rd | 6 CDM-6.3-45/CDM/man/anova.din.Rd | 10 CDM-6.3-45/CDM/man/cdi.kli.Rd | 16 CDM-6.3-45/CDM/man/cdm.est.class.accuracy.Rd | 66 CDM-6.3-45/CDM/man/coef.Rd | 6 CDM-6.3-45/CDM/man/data.cdm.Rd | 12 CDM-6.3-45/CDM/man/data.dcm.Rd | 58 CDM-6.3-45/CDM/man/data.dtmr.Rd | 10 CDM-6.3-45/CDM/man/data.ecpe.Rd | 16 CDM-6.3-45/CDM/man/data.hr.Rd | 18 CDM-6.3-45/CDM/man/data.jang.Rd | 14 CDM-6.3-45/CDM/man/data.melab.Rd | 14 CDM-6.3-45/CDM/man/data.pgdina.Rd | 26 CDM-6.3-45/CDM/man/data.pisa00R.Rd | 6 CDM-6.3-45/CDM/man/data.sda6.Rd | 18 CDM-6.3-45/CDM/man/data.timss03.G8.su.Rd | 14 CDM-6.3-45/CDM/man/data.timss07.G4.lee.Rd | 6 CDM-6.3-45/CDM/man/data.timss11.G4.AUT.Rd | 4 CDM-6.3-45/CDM/man/deltaMethod.Rd | 16 CDM-6.3-45/CDM/man/din.Rd | 180 +- CDM-6.3-45/CDM/man/din.deterministic.Rd | 24 CDM-6.3-45/CDM/man/din.equivalent.class.Rd | 18 CDM-6.3-45/CDM/man/din.validate.qmatrix.Rd | 12 CDM-6.3-45/CDM/man/discrim.index.Rd | 16 CDM-6.3-45/CDM/man/entropy.lca.Rd | 6 CDM-6.3-45/CDM/man/equivalent.dina.Rd | 28 CDM-6.3-45/CDM/man/eval_likelihood.Rd |only CDM-6.3-45/CDM/man/gdd.Rd | 12 CDM-6.3-45/CDM/man/gdina.Rd | 211 +- CDM-6.3-45/CDM/man/gdina.dif.Rd | 22 CDM-6.3-45/CDM/man/gdina.wald.Rd | 12 CDM-6.3-45/CDM/man/gdm.Rd | 188 +- CDM-6.3-45/CDM/man/ideal.response.pattern.Rd | 12 CDM-6.3-45/CDM/man/item_by_group.Rd | 8 CDM-6.3-45/CDM/man/itemfit.rmsea.Rd | 4 CDM-6.3-45/CDM/man/itemfit.sx2.Rd | 34 CDM-6.3-45/CDM/man/logLik.Rd | 4 CDM-6.3-45/CDM/man/mcdina.Rd | 26 CDM-6.3-45/CDM/man/modelfit.cor.Rd | 46 CDM-6.3-45/CDM/man/numerical_Hessian.Rd | 22 CDM-6.3-45/CDM/man/osink.Rd | 6 CDM-6.3-45/CDM/man/personfit.appropriateness.Rd | 20 CDM-6.3-45/CDM/man/plot.din.Rd | 30 CDM-6.3-45/CDM/man/predict.Rd | 8 CDM-6.3-45/CDM/man/print.summary.din.Rd | 6 CDM-6.3-45/CDM/man/reglca.Rd | 28 CDM-6.3-45/CDM/man/sequential.items.Rd | 14 CDM-6.3-45/CDM/man/sim.din.Rd | 54 CDM-6.3-45/CDM/man/sim.gdina.Rd | 54 CDM-6.3-45/CDM/man/sim_model.Rd |only CDM-6.3-45/CDM/man/skillspace.approximation.Rd | 8 CDM-6.3-45/CDM/man/skillspace.hierarchy.Rd | 28 CDM-6.3-45/CDM/man/slca.Rd | 348 ++-- CDM-6.3-45/CDM/man/summary.din.Rd | 12 CDM-6.3-45/CDM/man/summary_sink.Rd | 10 CDM-6.3-45/CDM/man/vcov.Rd | 42 CDM-6.3-45/CDM/src/RcppExports.cpp | 109 + CDM-6.3-45/CDM/src/cdm_rcpp_din_deterministic_devcrit.cpp | 46 CDM-6.3-45/CDM/src/cdm_rcpp_din_em.cpp | 12 CDM-6.3-45/CDM/src/cdm_rcpp_din_validate.cpp | 8 CDM-6.3-45/CDM/src/cdm_rcpp_discrimination_index.cpp | 18 CDM-6.3-45/CDM/src/cdm_rcpp_est_calc_accuracy.cpp |only CDM-6.3-45/CDM/src/cdm_rcpp_eval_likelihood.cpp |only CDM-6.3-45/CDM/src/cdm_rcpp_gdd.cpp | 44 CDM-6.3-45/CDM/src/cdm_rcpp_irt_classify.cpp |only CDM-6.3-45/CDM/src/cdm_rcpp_irt_predict.cpp | 38 CDM-6.3-45/CDM/src/cdm_rcpp_itemfit_sx2_calc_scoredistribution.cpp | 22 CDM-6.3-45/CDM/src/cdm_rcpp_kli.cpp | 68 CDM-6.3-45/CDM/src/cdm_rcpp_mcdina_probs_multcat_items_counts.cpp | 60 CDM-6.3-45/CDM/src/cdm_rcpp_modelfit_cor.cpp | 98 - CDM-6.3-45/CDM/src/cdm_rcpp_sim_model.cpp |only CDM-6.3-45/CDM/src/cdm_rcpp_slca.cpp | 128 - CDM-6.3-45/CDM/src/init.c | 18 390 files changed, 5072 insertions(+), 5028 deletions(-)
Title: Affinity Propagation Clustering
Description: Implements Affinity Propagation clustering introduced by Frey and
Dueck (2007) <DOI:10.1126/science.1136800>. The algorithms are largely
analogous to the 'Matlab' code published by Frey and Dueck.
The package further provides leveraged affinity propagation and an
algorithm for exemplar-based agglomerative clustering that can also be
used to join clusters obtained from affinity propagation. Various
plotting functions are available for analyzing clustering results.
Author: Ulrich Bodenhofer, Johannes Palme, Chrats Melkonian, Andreas Kothmeier,
Nikola Kostic
Maintainer: Ulrich Bodenhofer <bodenhofer@bioinf.jku.at>
Diff between apcluster versions 1.4.5 dated 2018-01-30 and 1.4.6 dated 2018-05-28
DESCRIPTION | 12 ++- MD5 | 21 +++--- R/aggExCluster-methods.R | 152 ++++++++--------------------------------------- README.md |only TODO | 1 build/vignette.rds |binary inst/NEWS | 5 + inst/doc/apcluster.Rnw | 12 ++- inst/doc/apcluster.pdf |binary src/R_init_apcluster.cpp | 2 src/aggExClusterC.cpp |only src/aggExClusterC.h |only vignettes/apcluster.Rnw | 12 ++- 13 files changed, 71 insertions(+), 146 deletions(-)
Title: Access to Abbyy Optical Character Recognition (OCR) API
Description: Get text from images of text using Abbyy Cloud Optical Character
Recognition (OCR) API. Easily OCR images, barcodes, forms, documents with
machine readable zones, e.g. passports. Get the results in a variety of formats
including plain text and XML. To learn more about the Abbyy OCR API, see
<http://ocrsdk.com/>.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>
Diff between abbyyR versions 0.5.1 dated 2017-04-12 and 0.5.3 dated 2018-05-28
DESCRIPTION | 10 +-- MD5 | 89 ++++++++++++++-------------- NEWS.md | 8 ++ R/abbyyR.R | 58 +++++++++++------- R/deleteTask.R | 42 ++++++------- R/getAppInfo.R | 19 ++---- R/getResults.R | 81 +++++++++++++------------- R/getTaskStatus.R | 20 +++--- R/listFinishedTasks.R | 32 +++++----- R/listTasks.R | 77 ++++++++++++++---------- R/ocrFile.R | 61 ++++++++++--------- R/processBarcodeField.R | 45 +++++++++----- R/processBusinessCard.R | 50 ++++++++++------ R/processCheckmarkField.R | 45 +++++++++----- R/processDocument.R | 81 ++++++++++++++++---------- R/processFields.R | 36 ++++++----- R/processImage.R | 93 +++++++++++++++++++----------- R/processMRZ.R | 34 +++++----- R/processPhotoId.R | 46 +++++++++----- R/processRemoteImage.R | 85 +++++++++++++++++---------- R/processTextField.R | 61 +++++++++++++------ R/setapp.R | 42 ++++++------- R/submitImage.R | 45 +++++++------- README.md | 4 - build/vignette.rds |binary inst/doc/example.html | 22 +++---- inst/doc/overview.html | 22 +++---- inst/doc/wiscads.html | 22 +++---- man/deleteTask.Rd | 2 man/getResults.Rd | 4 - man/listTasks.Rd | 6 - man/ocrFile.Rd | 2 man/processBarcodeField.Rd | 2 man/processCheckmarkField.Rd | 2 man/processFields.Rd | 2 man/processImage.Rd | 12 ++- man/processMRZ.Rd | 2 man/processPhotoId.Rd | 2 man/processRemoteImage.Rd | 2 tests/testthat.R | 2 tests/testthat/test-get-info.R | 6 - tests/testthat/test-get-results.R | 4 - tests/testthat/test-list-finished-tasks.R | 4 - tests/testthat/test-list-tasks.R | 22 +++---- tests/testthat/test-pkg-style.R |only tests/testthat/test-submit-image.R | 8 +- 46 files changed, 756 insertions(+), 558 deletions(-)
Title: Water Resources System Simulator
Description: Water resources system simulator is a tool for simulation and analysis of large-scale water resources systems. 'WRSS' proposes functions and methods for construction, simulation and analysis of primary water resources features (e.g. reservoirs, aquifers, and etc.) based on Standard Operating Policy (SOP).
Author: Rezgar Arabzadeh; Parisa Aberi; Kaveh Panaghi; Shahab Araghinejad; Majid Montaseri
Maintainer: Rezgar Arabzadeh <rezgararabzadeh@ut.ac.ir>
Diff between WRSS versions 1.3 dated 2018-05-06 and 1.4 dated 2018-05-28
DESCRIPTION | 9 +++-- MD5 | 18 ++++++----- NAMESPACE | 4 ++ R/plot.createArea.R |only R/risk.R | 78 +++++++++++++++++++++---------------------------- man/WRSS-package.Rd | 8 +++-- man/addObjectToArea.Rd | 6 +++ man/figures/Fig1.pdf |only man/figures/Fig1.png |only man/figures/Thumbs.db |binary man/plot.createArea.Rd |only man/sim.Rd | 11 ++---- 12 files changed, 69 insertions(+), 65 deletions(-)
More information about survBootOutliers at CRAN
Permanent link
Title: Visualisation of High-Throughput Behavioural (i.e. Ethomics)
Data
Description: Extension of 'ggplot2' providing layers, scales and preprocessing functions
useful to represent behavioural variables that are recorded over multiple animals and days.
This package is part of the rethomics framework <http://rethomics.github.io/>.
Author: Quentin Geissmann [aut, cre]
Maintainer: Quentin Geissmann <qgeissmann@gmail.com>
Diff between ggetho versions 0.3.1 dated 2018-05-17 and 0.3.2 dated 2018-05-28
DESCRIPTION | 11 ++++++----- MD5 | 19 ++++++++++--------- R/ggetho.R | 5 +++-- R/ggperio.R | 6 ++++-- R/scale-aaaaa.R | 6 ++++++ R/utils.R |only README.md | 4 ---- man/ggperio.Rd | 2 +- man/time_scales.Rd | 11 ++++++----- tests/testthat/test-ggperio.R | 6 +++++- tests/testthat/test-scales.R | 42 +++++++++++++++++++++++------------------- 11 files changed, 64 insertions(+), 48 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-08-27 0.3.3
2012-02-06 0.3.1.1
2011-11-25 0.3
2011-09-23 0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-09-25 1.8
2012-11-30 1.07
2012-10-28 1.06
2012-08-29 1.05
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-04-05 0.90.9
2018-03-29 0.90.8
2018-01-16 0.90.7
2017-11-08 0.90.6
2017-06-20 0.90.4
2017-05-16 0.90.3
2017-05-15 0.90.2
2017-05-08 0.90.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-08-08 1.4
2016-06-23 1.3
2016-03-11 1.2.0
2016-01-19 1.1.0
2015-09-09 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-02-20 0.2
2017-02-12 0.1