Title: High-Dimensional Variable Selection with Presence-Only Data
Description: Efficient algorithm for solving PU (Positive and Unlabelled) problem in low or high dimensional setting with lasso or group lasso penalty. The algorithm uses Maximization-Minorization and (block) coordinate descent. Sparse calculation and parallel computing via 'OpenMP' are supported for the computational speed-up. See Hyebin Song, Garvesh Raskutti (2017) <arXiv:1711.08129>.
Author: Hyebin Song [aut, cre],
Garvesh Raskutti [aut]
Maintainer: Hyebin Song <hsong56@wisc.edu>
Diff between PUlasso versions 2.1 dated 2018-01-03 and 2.2 dated 2018-02-13
DESCRIPTION | 14 +-- MD5 | 36 ++++---- NAMESPACE | 1 R/RcppExports.R | 12 -- R/cv.grpPUlasso.R | 167 +---------------------------------------- R/deviances.R | 28 ------ R/grpPUlasso.R | 113 --------------------------- inst/doc/PUlasso-vignette.R | 7 - inst/doc/PUlasso-vignette.Rmd | 15 --- inst/doc/PUlasso-vignette.html | 40 +++------ man/cv.grpPUlasso.Rd | 2 man/grpPUlasso.Rd | 2 src/RcppExports.cpp | 70 ----------------- src/cppWrappers.cpp | 95 +---------------------- src/cv_LUfit.cpp | 10 +- src/groupLasso.cpp | 16 +++ src/groupLasso.h | 1 tests/testthat/test.R | 70 +++++++++++++---- vignettes/PUlasso-vignette.Rmd | 15 --- 19 files changed, 138 insertions(+), 576 deletions(-)
Title: Implicit Association Test Scores Using Robust Statistics
Description: Compute several variations of the Implicit Association Test (IAT) scores, including the D scores (Greenwald, Nosek, Banaji, 2003, <doi:10.1037/0022-3514.85.2.197>) and the new scores that were developed using robust statistics (Richetin, Costantini, Perugini, and Schonbrodt, 2015, <doi:10.1371/journal.pone.0129601>).
Author: Giulio Costantini
Maintainer: Giulio Costantini <costantinigiulio@gmail.com>
Diff between IATscores versions 0.1-2 dated 2015-05-19 and 0.2.1 dated 2018-02-13
DESCRIPTION | 18 ++--- MD5 | 27 ++++---- NAMESPACE | 18 +++-- NEWS.md |only R/RobustScores.R | 55 +++++++++++++++- R/SplitHalf.R | 48 ++++++++++++++ R/TestRetest.R | 51 ++++++++++++++- R/doP1P2.R | 42 ++++++------ R/doP1P2P3P4.R | 2 R/transitive.reduction.R |only inst |only man/Pretreatment.Rd | 53 +++++++++++++++ man/RobustScores.Rd | 157 +++++++++++++++++++++++++++++++++++++++++++++-- man/SplitHalf.Rd | 137 ++++++++++++++++++++++++++++++++++++++++- man/TestRetest.Rd | 130 ++++++++++++++++++++++++++++++++++++++ man/Tgraph.Rd | 3 16 files changed, 677 insertions(+), 64 deletions(-)
Title: R Port of the 'Scilab' Neldermead Module
Description: Provides several direct search optimization algorithms based on the
simplex method. The provided algorithms are direct search algorithms, i.e.
algorithms which do not use the derivative of the cost function. They are
based on the update of a simplex. The following algorithms are available: the
fixed shape simplex method of Spendley, Hext and Himsworth (unconstrained
optimization with a fixed shape simplex), the variable shape simplex method of
Nelder and Mead (unconstrained optimization with a variable shape simplex
made), and Box's complex method (constrained optimization with a variable
shape simplex).
Author: Sebastien Bihorel, Michael Baudin (author of the original
module)
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>
Diff between neldermead versions 1.0-10 dated 2015-01-11 and 1.0-11 dated 2018-02-13
Changelog | 5 + DESCRIPTION | 12 ++-- MD5 | 104 +++++++++++++++++++-------------------- NAMESPACE | 1 R/boxlinesearch.R | 2 R/costf.transposex.R | 2 R/fmin.gridsearch.R | 2 R/fminbnd.R | 2 R/fminbnd.function.R | 2 R/fminbnd.outputfun.R | 2 R/fminsearch.R | 2 R/fminsearch.function.R | 2 R/fminsearch.outputfun.R | 2 R/is.R | 2 R/neldermead.R | 4 - R/neldermead.algo.R | 2 R/neldermead.autorestart.R | 2 R/neldermead.box.R | 2 R/neldermead.costf.R | 2 R/neldermead.destroy.R | 2 R/neldermead.fixed.R | 2 R/neldermead.function.R | 2 R/neldermead.get.R | 2 R/neldermead.interpolate.R | 2 R/neldermead.isrkelley.R | 2 R/neldermead.isroneill.R | 2 R/neldermead.istorestart.R | 2 R/neldermead.log.R | 2 R/neldermead.outputcmd.R | 2 R/neldermead.restart.R | 2 R/neldermead.scaletocenter.R | 2 R/neldermead.scaletox0.R | 2 R/neldermead.search.R | 2 R/neldermead.set.R | 2 R/neldermead.startup.R | 2 R/neldermead.storehistory.R | 4 - R/neldermead.termination.R | 2 R/neldermead.termstartup.R | 2 R/neldermead.updatesimp.R | 2 R/neldermead.variable.R | 2 R/optimget.R | 2 R/optimset.R | 2 R/optimset.method.R | 2 R/print.neldermead.R | 2 R/scaleinconstraints.R | 2 R/summary.neldermead.R | 2 README.md |only build/vignette.rds |binary inst/doc/neldermead_manual.Rnw | 2 inst/doc/neldermead_manual.pdf |binary man/neldermead-package.Rd | 4 - vignettes/neldermead-package.tex | 4 - vignettes/neldermead.R |only vignettes/neldermead_manual.Rnw | 2 54 files changed, 115 insertions(+), 107 deletions(-)
Title: Sure Independence Screening
Description: Variable selection techniques are essential tools for model
selection and estimation in high-dimensional statistical models. Through this
publicly available package, we provide a unified environment to carry out
variable selection using iterative sure independence screening (SIS) and all
of its variants in generalized linear models and the Cox proportional hazards
model.
Author: Jianqing Fan, Yang Feng, Diego Franco Saldana, Richard Samworth, Yichao
Wu
Maintainer: Yang Feng <yang.feng@columbia.edu>
Diff between SIS versions 0.8-4 dated 2017-04-21 and 0.8-6 dated 2018-02-13
DESCRIPTION | 9 ++++----- MD5 | 16 ++++++++-------- R/SIS.R | 37 +++++++++++++++++++------------------ R/predict.SIS.R | 7 ++++--- R/standardize.R | 4 ++-- inst/CITATION | 29 ++++++++++++++++++----------- man/SIS.Rd | 37 +++++++++++++++++++------------------ man/predict.SIS.Rd | 7 ++++--- man/standardize.Rd | 4 ++-- 9 files changed, 80 insertions(+), 70 deletions(-)
Title: Methods and Measures for Brain, Cognitive, and Psychometric
Network Analysis
Description: Implements network analysis and graph theory measures used in neuroscience, cognitive science, and psychology. Methods include various filtering methods and approaches such as threshold, dependency (Kenett, Tumminello, Madi, Gur-Gershogoren, Mantegna, & Ben-Jacob, 2010 <doi:10.1371/journal.pone.0015032>), Information Filtering Networks (Barfuss, Massara, Di Matteo, & Aste, 2016 <doi:10.1103/PhysRevE.94.062306>), and Efficiency-Cost Optimization (Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>). Brain methods include the recently developed Connectome Predictive Modeling (see references in package). Also implements several network measures including local network characteristics (e.g., centrality), global network characteristics (e.g., clustering coefficient), and various other measures associated with the reliability and reproducibility of network analysis.
Author: Alexander Christensen
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>
Diff between NetworkToolbox versions 0.0.1.1 dated 2017-12-20 and 1.0.0 dated 2018-02-13
NetworkToolbox-0.0.1.1/NetworkToolbox/man/prepboot.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/DESCRIPTION | 15 NetworkToolbox-1.0.0/NetworkToolbox/MD5 | 86 NetworkToolbox-1.0.0/NetworkToolbox/NAMESPACE | 30 NetworkToolbox-1.0.0/NetworkToolbox/R/NetworkToolbox--master.R | 3846 +++++++++- NetworkToolbox-1.0.0/NetworkToolbox/man/ECO.Rd | 24 NetworkToolbox-1.0.0/NetworkToolbox/man/ECOplusMaST.Rd | 14 NetworkToolbox-1.0.0/NetworkToolbox/man/LoGo.Rd | 22 NetworkToolbox-1.0.0/NetworkToolbox/man/MaST.Rd | 30 NetworkToolbox-1.0.0/NetworkToolbox/man/PMFG.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/TMFG.Rd | 30 NetworkToolbox-1.0.0/NetworkToolbox/man/betweenness.Rd | 4 NetworkToolbox-1.0.0/NetworkToolbox/man/binarize.Rd | 2 NetworkToolbox-1.0.0/NetworkToolbox/man/bootgen.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/centlist.Rd | 4 NetworkToolbox-1.0.0/NetworkToolbox/man/closeness.Rd | 6 NetworkToolbox-1.0.0/NetworkToolbox/man/clustcoeff.Rd | 4 NetworkToolbox-1.0.0/NetworkToolbox/man/commboot.Rd | 26 NetworkToolbox-1.0.0/NetworkToolbox/man/conn.Rd | 5 NetworkToolbox-1.0.0/NetworkToolbox/man/convertConnBrainMat.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/cpmEV.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/cpmFP.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/cpmFPperm.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/cpmIV.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/degree.Rd | 3 NetworkToolbox-1.0.0/NetworkToolbox/man/depend.Rd | 24 NetworkToolbox-1.0.0/NetworkToolbox/man/depna.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/distance.Rd | 6 NetworkToolbox-1.0.0/NetworkToolbox/man/edgerep.Rd | 8 NetworkToolbox-1.0.0/NetworkToolbox/man/eigenvector.Rd | 4 NetworkToolbox-1.0.0/NetworkToolbox/man/hex.Rd | 2 NetworkToolbox-1.0.0/NetworkToolbox/man/hexb.Rd | 2 NetworkToolbox-1.0.0/NetworkToolbox/man/hybrid.Rd | 3 NetworkToolbox-1.0.0/NetworkToolbox/man/impact.Rd | 11 NetworkToolbox-1.0.0/NetworkToolbox/man/kld.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/lattnet.Rd | 2 NetworkToolbox-1.0.0/NetworkToolbox/man/leverage.Rd | 6 NetworkToolbox-1.0.0/NetworkToolbox/man/louvain.Rd | 12 NetworkToolbox-1.0.0/NetworkToolbox/man/neuralcorrtest.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/neuralgrouptest.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/neuralnetfilter.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/neuralstat.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/pathlengths.Rd | 9 NetworkToolbox-1.0.0/NetworkToolbox/man/randnet.Rd | 2 NetworkToolbox-1.0.0/NetworkToolbox/man/rspbc.Rd | 5 NetworkToolbox-1.0.0/NetworkToolbox/man/semnetboot.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/semnetmeas.Rd | 12 NetworkToolbox-1.0.0/NetworkToolbox/man/smallworldness.Rd | 18 NetworkToolbox-1.0.0/NetworkToolbox/man/splitsamp.Rd |only NetworkToolbox-1.0.0/NetworkToolbox/man/strength.Rd | 3 NetworkToolbox-1.0.0/NetworkToolbox/man/threshold.Rd | 56 NetworkToolbox-1.0.0/NetworkToolbox/man/transitivity.Rd | 4 52 files changed, 3848 insertions(+), 492 deletions(-)
More information about NetworkToolbox at CRAN
Permanent link
Title: Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
Description: Compute analytic case-wise and cluster-wise derivatives for mixed effects models with respect to fixed effect parameters, random effect (co)variances, and residual variances.
Author: Ting Wang [aut, cre],
Edgar Merkle [aut]
Maintainer: Ting Wang <twb8d@mail.missouri.edu>
Diff between merDeriv versions 0.1-2 dated 2017-08-01 and 0.1-3 dated 2018-02-13
DESCRIPTION | 9 +++++---- MD5 | 4 ++-- R/vcov.lmerMod.R | 13 ++++++++++--- 3 files changed, 17 insertions(+), 9 deletions(-)
Title: Epidemic/Network-Related Tools
Description: A collection of epidemic/network-related tools. Simulates transmission of diseases through contact networks. Performs Bayesian inference on network and epidemic parameters, given epidemic data.
Author: Chris Groendyke [aut, cre],
David Welch [aut],
David Hunter [ctb]
Maintainer: Chris Groendyke <cgroendyke@gmail.com>
Diff between epinet versions 2.1.7 dated 2016-02-21 and 2.1.8 dated 2018-02-13
DESCRIPTION | 8 ++++---- MD5 | 26 ++++++++++++++------------ NAMESPACE | 2 +- inst |only man/Epinet.Rd | 4 +++- man/MCMCcontrol.Rd | 3 +++ man/Priorcontrol.Rd | 3 +++ man/epi2newick.Rd | 2 +- man/epinet-internal.Rd | 1 + man/plot.epidemic.Rd | 3 +++ man/plot.epinet.Rd | 3 +++ man/print.epidemic.Rd | 3 +++ man/print.epinet.Rd | 3 +++ man/write.epinet.Rd | 2 +- src/epinet_init.c |only 15 files changed, 43 insertions(+), 20 deletions(-)
Title: Boost C++ Header Files
Description: Boost provides free peer-reviewed portable C++ source
libraries. A large part of Boost is provided as C++ template code
which is resolved entirely at compile-time without linking. This
package aims to provide the most useful subset of Boost libraries
for template use among CRAN package. By placing these libraries in
this package, we offer a more efficient distribution system for CRAN
as replication of this code in the sources of other packages is
avoided. As of release 1.65.0-1, the following Boost libraries are
included: 'algorithm' 'align' 'any' 'atomic' 'bimap' 'bind'
'circular_buffer' 'compute' 'concept' 'config' 'container' 'date'_'time'
'detail' 'dynamic_bitset' 'exception' 'filesystem' 'flyweight' 'foreach'
'functional' 'fusion' 'geometry' 'graph' 'heap' 'icl' 'integer'
'interprocess' 'intrusive' 'io' 'iostreams' 'iterator' 'math' 'move' 'mpl'
'multiprcecision' 'numeric' 'pending' 'phoenix' 'preprocessor'
'propery_tree' 'random' 'range' 'scope_exit' 'smart_ptr' 'sort' 'spirit'
'tuple' 'type_traits' 'typeof' 'unordered' 'utility' 'uuid'.
Author: Dirk Eddelbuettel, John W. Emerson and Michael J. Kane
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between BH versions 1.65.0-1 dated 2017-08-24 and 1.66.0-1 dated 2018-02-13
ChangeLog | 19 DESCRIPTION | 23 MD5 | 1730 +- README.md | 18 build/partial.rdb |binary inst/NEWS.Rd | 7 inst/include/boost/accumulators/accumulators_fwd.hpp | 1 inst/include/boost/accumulators/framework/depends_on.hpp | 6 inst/include/boost/accumulators/numeric/functional.hpp | 52 inst/include/boost/accumulators/numeric/functional/valarray.hpp | 68 inst/include/boost/accumulators/numeric/functional/vector.hpp | 34 inst/include/boost/archive/basic_archive.hpp | 13 inst/include/boost/archive/codecvt_null.hpp | 15 inst/include/boost/archive/detail/common_iarchive.hpp | 3 inst/include/boost/archive/detail/common_oarchive.hpp | 1 inst/include/boost/archive/detail/iserializer.hpp | 25 inst/include/boost/archive/detail/oserializer.hpp | 13 inst/include/boost/archive/detail/utf8_codecvt_facet.hpp | 30 inst/include/boost/archive/impl/basic_binary_iprimitive.ipp | 2 inst/include/boost/archive/impl/xml_wiarchive_impl.ipp | 4 inst/include/boost/archive/impl/xml_woarchive_impl.ipp | 7 inst/include/boost/archive/iterators/mb_from_wchar.hpp | 13 inst/include/boost/archive/xml_wiarchive.hpp | 1 inst/include/boost/asio.hpp | 30 inst/include/boost/asio/associated_allocator.hpp |only inst/include/boost/asio/associated_executor.hpp |only inst/include/boost/asio/async_result.hpp | 169 inst/include/boost/asio/basic_datagram_socket.hpp | 187 inst/include/boost/asio/basic_deadline_timer.hpp | 178 inst/include/boost/asio/basic_io_object.hpp | 114 inst/include/boost/asio/basic_raw_socket.hpp | 186 inst/include/boost/asio/basic_seq_packet_socket.hpp | 141 inst/include/boost/asio/basic_serial_port.hpp | 89 inst/include/boost/asio/basic_signal_set.hpp | 81 inst/include/boost/asio/basic_socket.hpp | 456 inst/include/boost/asio/basic_socket_acceptor.hpp | 1063 + inst/include/boost/asio/basic_socket_iostream.hpp | 238 inst/include/boost/asio/basic_socket_streambuf.hpp | 682 - inst/include/boost/asio/basic_stream_socket.hpp | 161 inst/include/boost/asio/basic_streambuf.hpp | 113 inst/include/boost/asio/basic_streambuf_fwd.hpp | 3 inst/include/boost/asio/basic_waitable_timer.hpp | 284 inst/include/boost/asio/bind_executor.hpp |only inst/include/boost/asio/buffer.hpp | 2307 +-- inst/include/boost/asio/buffered_read_stream.hpp | 39 inst/include/boost/asio/buffered_stream.hpp | 30 inst/include/boost/asio/buffered_write_stream.hpp | 39 inst/include/boost/asio/buffers_iterator.hpp | 80 inst/include/boost/asio/connect.hpp | 686 - inst/include/boost/asio/coroutine.hpp | 12 inst/include/boost/asio/datagram_socket_service.hpp | 156 inst/include/boost/asio/deadline_timer_service.hpp | 36 inst/include/boost/asio/defer.hpp |only inst/include/boost/asio/detail/bind_handler.hpp | 479 inst/include/boost/asio/detail/buffer_sequence_adapter.hpp | 261 inst/include/boost/asio/detail/call_stack.hpp | 2 inst/include/boost/asio/detail/chrono.hpp |only inst/include/boost/asio/detail/completion_handler.hpp | 12 inst/include/boost/asio/detail/concurrency_hint.hpp |only inst/include/boost/asio/detail/conditionally_enabled_event.hpp |only inst/include/boost/asio/detail/conditionally_enabled_mutex.hpp |only inst/include/boost/asio/detail/config.hpp | 323 inst/include/boost/asio/detail/consuming_buffers.hpp | 450 inst/include/boost/asio/detail/cstddef.hpp |only inst/include/boost/asio/detail/cstdint.hpp | 14 inst/include/boost/asio/detail/deadline_timer_service.hpp | 77 inst/include/boost/asio/detail/descriptor_ops.hpp | 4 inst/include/boost/asio/detail/descriptor_read_op.hpp | 23 inst/include/boost/asio/detail/descriptor_write_op.hpp | 23 inst/include/boost/asio/detail/dev_poll_reactor.hpp | 28 inst/include/boost/asio/detail/epoll_reactor.hpp | 39 inst/include/boost/asio/detail/executor_op.hpp |only inst/include/boost/asio/detail/functional.hpp |only inst/include/boost/asio/detail/gcc_arm_fenced_block.hpp | 2 inst/include/boost/asio/detail/gcc_hppa_fenced_block.hpp | 2 inst/include/boost/asio/detail/gcc_sync_fenced_block.hpp | 2 inst/include/boost/asio/detail/gcc_x86_fenced_block.hpp | 2 inst/include/boost/asio/detail/global.hpp |only inst/include/boost/asio/detail/handler_alloc_helpers.hpp | 159 inst/include/boost/asio/detail/handler_cont_helpers.hpp | 2 inst/include/boost/asio/detail/handler_invoke_helpers.hpp | 2 inst/include/boost/asio/detail/handler_tracking.hpp | 97 inst/include/boost/asio/detail/handler_type_requirements.hpp | 150 inst/include/boost/asio/detail/handler_work.hpp |only inst/include/boost/asio/detail/impl/buffer_sequence_adapter.ipp | 10 inst/include/boost/asio/detail/impl/descriptor_ops.ipp | 23 inst/include/boost/asio/detail/impl/dev_poll_reactor.hpp | 19 inst/include/boost/asio/detail/impl/dev_poll_reactor.ipp | 45 inst/include/boost/asio/detail/impl/epoll_reactor.hpp | 19 inst/include/boost/asio/detail/impl/epoll_reactor.ipp | 164 inst/include/boost/asio/detail/impl/handler_tracking.ipp | 105 inst/include/boost/asio/detail/impl/kqueue_reactor.hpp | 23 inst/include/boost/asio/detail/impl/kqueue_reactor.ipp | 88 inst/include/boost/asio/detail/impl/null_event.ipp |only inst/include/boost/asio/detail/impl/posix_event.ipp | 12 inst/include/boost/asio/detail/impl/posix_thread.ipp | 10 inst/include/boost/asio/detail/impl/reactive_descriptor_service.ipp | 19 inst/include/boost/asio/detail/impl/reactive_serial_port_service.ipp | 11 inst/include/boost/asio/detail/impl/reactive_socket_service_base.ipp | 37 inst/include/boost/asio/detail/impl/resolver_service_base.ipp | 82 inst/include/boost/asio/detail/impl/scheduler.ipp |only inst/include/boost/asio/detail/impl/select_reactor.hpp | 19 inst/include/boost/asio/detail/impl/select_reactor.ipp | 65 inst/include/boost/asio/detail/impl/service_registry.hpp | 64 inst/include/boost/asio/detail/impl/service_registry.ipp | 67 inst/include/boost/asio/detail/impl/signal_set_service.ipp | 56 inst/include/boost/asio/detail/impl/socket_ops.ipp | 153 inst/include/boost/asio/detail/impl/strand_executor_service.hpp |only inst/include/boost/asio/detail/impl/strand_executor_service.ipp |only inst/include/boost/asio/detail/impl/strand_service.hpp | 24 inst/include/boost/asio/detail/impl/strand_service.ipp | 27 inst/include/boost/asio/detail/impl/timer_queue_ptime.ipp | 15 inst/include/boost/asio/detail/impl/win_event.ipp | 5 inst/include/boost/asio/detail/impl/win_iocp_handle_service.ipp | 44 inst/include/boost/asio/detail/impl/win_iocp_io_context.hpp |only inst/include/boost/asio/detail/impl/win_iocp_io_context.ipp |only inst/include/boost/asio/detail/impl/win_iocp_serial_port_service.ipp | 7 inst/include/boost/asio/detail/impl/win_iocp_socket_service_base.ipp | 90 inst/include/boost/asio/detail/impl/win_object_handle_service.ipp | 36 inst/include/boost/asio/detail/impl/win_thread.ipp | 7 inst/include/boost/asio/detail/impl/win_tss_ptr.ipp | 4 inst/include/boost/asio/detail/impl/winrt_ssocket_service_base.ipp | 55 inst/include/boost/asio/detail/impl/winrt_timer_scheduler.hpp | 19 inst/include/boost/asio/detail/impl/winrt_timer_scheduler.ipp | 16 inst/include/boost/asio/detail/io_control.hpp | 50 inst/include/boost/asio/detail/is_buffer_sequence.hpp |only inst/include/boost/asio/detail/is_executor.hpp |only inst/include/boost/asio/detail/kqueue_reactor.hpp | 36 inst/include/boost/asio/detail/macos_fenced_block.hpp | 1 inst/include/boost/asio/detail/memory.hpp |only inst/include/boost/asio/detail/null_event.hpp | 20 inst/include/boost/asio/detail/null_fenced_block.hpp | 2 inst/include/boost/asio/detail/null_global.hpp |only inst/include/boost/asio/detail/null_reactor.hpp | 17 inst/include/boost/asio/detail/null_socket_service.hpp | 46 inst/include/boost/asio/detail/null_thread.hpp | 6 inst/include/boost/asio/detail/object_pool.hpp | 25 inst/include/boost/asio/detail/operation.hpp | 4 inst/include/boost/asio/detail/pop_options.hpp | 4 inst/include/boost/asio/detail/posix_event.hpp | 33 inst/include/boost/asio/detail/posix_global.hpp |only inst/include/boost/asio/detail/posix_thread.hpp | 4 inst/include/boost/asio/detail/push_options.hpp | 9 inst/include/boost/asio/detail/reactive_descriptor_service.hpp | 104 inst/include/boost/asio/detail/reactive_null_buffers_op.hpp | 14 inst/include/boost/asio/detail/reactive_serial_port_service.hpp | 16 inst/include/boost/asio/detail/reactive_socket_accept_op.hpp | 119 inst/include/boost/asio/detail/reactive_socket_connect_op.hpp | 19 inst/include/boost/asio/detail/reactive_socket_recv_op.hpp | 26 inst/include/boost/asio/detail/reactive_socket_recvfrom_op.hpp | 19 inst/include/boost/asio/detail/reactive_socket_recvmsg_op.hpp | 21 inst/include/boost/asio/detail/reactive_socket_send_op.hpp | 34 inst/include/boost/asio/detail/reactive_socket_sendto_op.hpp | 21 inst/include/boost/asio/detail/reactive_socket_service.hpp | 128 inst/include/boost/asio/detail/reactive_socket_service_base.hpp | 131 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Title: R Graphics Devices for Vector Graphics Output
Description: Vector Graphics devices for 'SVG', 'DrawingML' for Microsoft Word,
PowerPoint and Excel. Functions extending package 'officer' are provided to
embed 'DrawingML' graphics into 'Microsoft PowerPoint' presentations and
'Microsoft Excel' workbooks.
Author: David Gohel [aut, cre],
Bob Rudis [ctb] (the javascript code used by function set_attr),
Francois Brunetti [ctb] (clipping algorithms)
Maintainer: David Gohel <david.gohel@ardata.fr>
Diff between rvg versions 0.1.7 dated 2017-12-03 and 0.1.8 dated 2018-02-13
DESCRIPTION | 6 ++--- MD5 | 24 ++++++++++----------- NEWS | 4 +++ R/body_add_vg.R | 2 - R/fonts.R | 7 ++---- R/ph_with_vg.R | 4 +-- R/xl_add_vg.R | 2 - man/xl_add_vg.Rd | 2 - src/docx.cpp | 38 +++++++++++++++++++++++----------- src/dsvg.cpp | 35 ++++++++++++++++++++++--------- src/pptx.cpp | 44 +++++++++++++++++++++++++++------------- src/xlsx.cpp | 38 +++++++++++++++++++++++----------- tests/testthat/test-docx-text.R | 2 - 13 files changed, 135 insertions(+), 73 deletions(-)
Title: R Port of the 'Scilab' Optimsimplex Module
Description: Provides a building block for optimization algorithms
based on a simplex. The 'optimsimplex' package may be used in the
following optimization methods: the simplex method of Spendley
et al. (1962) <doi:10.1080/00401706.1962.10490033>, the method of
Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308>, Box's algorithm for
constrained optimization (1965) <doi:10.1093/comjnl/8.1.42>, the
multi-dimensional search by Torczon (1989)
<http://www.cs.wm.edu/~va/research/thesis.pdf>, etc...
Author: Sebastien Bihorel, Michael Baudin (author of the original
module)
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>
Diff between optimsimplex versions 1.0-6 dated 2017-07-28 and 1.0-7 dated 2018-02-13
optimsimplex-1.0-6/optimsimplex/R/print.simplex.R |only optimsimplex-1.0-6/optimsimplex/R/simplex.R |only optimsimplex-1.0-6/optimsimplex/man/simplex.Rd |only optimsimplex-1.0-6/optimsimplex/vignettes/simplex.tex |only optimsimplex-1.0-7/optimsimplex/Changelog | 4 optimsimplex-1.0-7/optimsimplex/DESCRIPTION | 8 optimsimplex-1.0-7/optimsimplex/MD5 | 112 +++++----- optimsimplex-1.0-7/optimsimplex/NAMESPACE | 4 optimsimplex-1.0-7/optimsimplex/R/is.R | 6 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.R | 6 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.center.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.check.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.compsomefv.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.computefv.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.deltafv.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.deltafvmax.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.destroy.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.dirmat.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.fvmean.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.fvstdev.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.fvvariance.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.getall.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.getallfv.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.getallx.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.getfv.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.getn.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.getnbve.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.getve.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.getx.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.gradcenter.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.gradforward.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.gradientfv.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.log.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.reflect.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.setall.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.setallfv.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.setallx.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.setfv.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.setn.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.setnbve.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.setve.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.setx.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.shrink.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.size.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.sort.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.tostring.R | 2 optimsimplex-1.0-7/optimsimplex/R/optimsimplex.xbar.R | 2 optimsimplex-1.0-7/optimsimplex/R/osimplex.R |only optimsimplex-1.0-7/optimsimplex/R/print.optimsimplex.R | 2 optimsimplex-1.0-7/optimsimplex/R/print.osimplex.R |only optimsimplex-1.0-7/optimsimplex/R/print.vertex.R | 2 optimsimplex-1.0-7/optimsimplex/R/vertex.R | 10 optimsimplex-1.0-7/optimsimplex/build/vignette.rds |binary optimsimplex-1.0-7/optimsimplex/inst/doc/optimsimplex_manual.R | 2 optimsimplex-1.0-7/optimsimplex/inst/doc/optimsimplex_manual.Rnw | 8 optimsimplex-1.0-7/optimsimplex/inst/doc/optimsimplex_manual.pdf |binary optimsimplex-1.0-7/optimsimplex/man/optimsimplex-package.Rd | 4 optimsimplex-1.0-7/optimsimplex/man/osimplex.Rd |only optimsimplex-1.0-7/optimsimplex/vignettes/optimsimplex-package.tex | 4 optimsimplex-1.0-7/optimsimplex/vignettes/optimsimplex_manual.Rnw | 8 optimsimplex-1.0-7/optimsimplex/vignettes/osimplex.tex |only 61 files changed, 129 insertions(+), 125 deletions(-)
Title: Feature Selection (Including Multiple Solutions) and Bayesian
Networks
Description: Many feature selection methods for a wide range of response variables, including minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. Reference: Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets, Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>.
Author: Michail Tsagris [aut, cre],
Ioannis Tsamardinos [aut, cph],
Vincenzo Lagani [aut, cph],
Giorgos Athineou [aut],
Giorgos Borboudakis [ctb],
Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>
Diff between MXM versions 1.3.1 dated 2017-11-30 and 1.3.2 dated 2018-02-13
MXM-1.3.1/MXM/R/glm.fsreg2.R |only MXM-1.3.1/MXM/R/lm.fsreg_2.heavy.R |only MXM-1.3.1/MXM/R/lm.fsreg_heavy.R |only MXM-1.3.1/MXM/R/testIndGLMM.R |only MXM-1.3.1/MXM/R/testIndSpeedglm.R |only MXM-1.3.1/MXM/R/waldBinary.R |only MXM-1.3.1/MXM/R/waldSpeedglm.R |only MXM-1.3.1/MXM/man/testIndGLMM.Rd |only MXM-1.3.1/MXM/man/testIndSpeedglm.Rd |only MXM-1.3.2/MXM/DESCRIPTION | 19 MXM-1.3.2/MXM/MD5 | 720 +++++++++++++---------- MXM-1.3.2/MXM/NAMESPACE | 56 - MXM-1.3.2/MXM/R/IdentifyEquivalence.R | 10 MXM-1.3.2/MXM/R/IdentifyEquivalence.gee.R |only MXM-1.3.2/MXM/R/IdentifyEquivalence.ma.R | 12 MXM-1.3.2/MXM/R/IdentifyEquivalence.temporal.R | 8 MXM-1.3.2/MXM/R/InternalMMPC.R | 41 - MXM-1.3.2/MXM/R/InternalMMPC.gee.R |only MXM-1.3.2/MXM/R/InternalMMPC.temporal.R | 21 MXM-1.3.2/MXM/R/InternalMMPC.timeclass.R |only MXM-1.3.2/MXM/R/InternalSES.R | 44 - MXM-1.3.2/MXM/R/InternalSES.gee.R |only MXM-1.3.2/MXM/R/InternalSES.temporal.R | 34 - MXM-1.3.2/MXM/R/InternalSES.timeclass.R |only MXM-1.3.2/MXM/R/Internalmammpc.R |only MXM-1.3.2/MXM/R/Internalmases.R | 53 - MXM-1.3.2/MXM/R/MMPC.R | 127 +--- MXM-1.3.2/MXM/R/MMPC.gee.R |only MXM-1.3.2/MXM/R/MMPC.gee.output_script.R |only MXM-1.3.2/MXM/R/MMPC.temporal.R | 64 -- MXM-1.3.2/MXM/R/MMPC.temporal.output_script.R | 71 -- MXM-1.3.2/MXM/R/MMPC.timeclass.R |only MXM-1.3.2/MXM/R/MMPCoutput_script.R | 67 -- MXM-1.3.2/MXM/R/SES.R | 127 +--- MXM-1.3.2/MXM/R/SES.gee.R |only MXM-1.3.2/MXM/R/SES.gee.opoutput_script.R |only MXM-1.3.2/MXM/R/SES.temporal.R | 63 -- MXM-1.3.2/MXM/R/SES.temporal.opoutput_script.R | 83 -- MXM-1.3.2/MXM/R/SES.timeclass.R |only MXM-1.3.2/MXM/R/SESoutput_script.R | 79 -- MXM-1.3.2/MXM/R/WaldOrdinal.R | 38 - MXM-1.3.2/MXM/R/apply_ideq.R | 6 MXM-1.3.2/MXM/R/apply_ideq.ma.R | 7 MXM-1.3.2/MXM/R/apply_ideq.temporal.R | 6 MXM-1.3.2/MXM/R/beta.fsreg_2.R | 1 MXM-1.3.2/MXM/R/bic.clogit.fsreg.R | 2 MXM-1.3.2/MXM/R/bic.fsreg.R | 77 -- MXM-1.3.2/MXM/R/bic.gammafsreg.R | 116 --- MXM-1.3.2/MXM/R/bic.glm.fsreg.R | 332 ---------- MXM-1.3.2/MXM/R/bic.mm.fsreg.R |only MXM-1.3.2/MXM/R/bic.normlog.fsreg.R | 99 --- MXM-1.3.2/MXM/R/bic.tobit.fsreg.R | 5 MXM-1.3.2/MXM/R/bic.wr.fsreg.R |only MXM-1.3.2/MXM/R/bs.reg.R | 68 +- MXM-1.3.2/MXM/R/censIndCR.R | 12 MXM-1.3.2/MXM/R/censIndER.R | 14 MXM-1.3.2/MXM/R/censIndWR.R | 14 MXM-1.3.2/MXM/R/certificate.of.exclusion.R |only MXM-1.3.2/MXM/R/clogit.bsreg.R | 55 - MXM-1.3.2/MXM/R/clogit.fsreg.R | 14 MXM-1.3.2/MXM/R/clogit.fsreg_2.R | 5 MXM-1.3.2/MXM/R/condi.R | 8 MXM-1.3.2/MXM/R/cv.mmpc.R | 10 MXM-1.3.2/MXM/R/cv.permmmpc.R | 4 MXM-1.3.2/MXM/R/cv.permses.R | 5 MXM-1.3.2/MXM/R/cv.ses.R | 11 MXM-1.3.2/MXM/R/cv.waldmmpc.R | 6 MXM-1.3.2/MXM/R/cv.waldses.R | 4 MXM-1.3.2/MXM/R/cvmmpc.par.R | 8 MXM-1.3.2/MXM/R/cvpermmmpc.par.R | 3 MXM-1.3.2/MXM/R/cvpermses.par.R | 3 MXM-1.3.2/MXM/R/cvses.par.R | 7 MXM-1.3.2/MXM/R/cvwaldmmpc.par.R | 8 MXM-1.3.2/MXM/R/cvwaldses.par.R | 5 MXM-1.3.2/MXM/R/ebic.bsreg.R | 60 - MXM-1.3.2/MXM/R/ebic.fbed.beta.R | 26 MXM-1.3.2/MXM/R/ebic.fbed.clogit.R | 42 - MXM-1.3.2/MXM/R/ebic.fbed.cr.R | 28 MXM-1.3.2/MXM/R/ebic.fbed.glm.R | 30 MXM-1.3.2/MXM/R/ebic.fbed.glmm.R | 34 - MXM-1.3.2/MXM/R/ebic.fbed.glmm.reps.R |only MXM-1.3.2/MXM/R/ebic.fbed.lm.R | 60 + MXM-1.3.2/MXM/R/ebic.fbed.lmm.R | 28 MXM-1.3.2/MXM/R/ebic.fbed.lmm.reps.R |only MXM-1.3.2/MXM/R/ebic.fbed.mmreg.R | 28 MXM-1.3.2/MXM/R/ebic.fbed.multinom.R | 26 MXM-1.3.2/MXM/R/ebic.fbed.nb.R | 28 MXM-1.3.2/MXM/R/ebic.fbed.ordinal.R | 29 MXM-1.3.2/MXM/R/ebic.fbed.tobit.R | 28 MXM-1.3.2/MXM/R/ebic.fbed.wr.R | 28 MXM-1.3.2/MXM/R/ebic.fbed.zip.R | 26 MXM-1.3.2/MXM/R/ebic.glm.bsreg.R | 2 MXM-1.3.2/MXM/R/ebic.glmm.bsreg.R | 10 MXM-1.3.2/MXM/R/ebic.glmm.reps.bsreg.R |only MXM-1.3.2/MXM/R/ebic.lm.bsreg.R | 2 MXM-1.3.2/MXM/R/ebic.lmm.bsreg.R | 2 MXM-1.3.2/MXM/R/ebic.lmm.reps.bsreg.R |only MXM-1.3.2/MXM/R/ebic.mm.bsreg.R | 2 MXM-1.3.2/MXM/R/ebic.multinom.bsreg.R | 2 MXM-1.3.2/MXM/R/ebic.nb.bsreg.R | 2 MXM-1.3.2/MXM/R/ebic.ordinal.bsreg.R | 2 MXM-1.3.2/MXM/R/ebic.tobit.bsreg.R | 2 MXM-1.3.2/MXM/R/ebic.univregs.R |only MXM-1.3.2/MXM/R/ebic.wr.bsreg.R | 2 MXM-1.3.2/MXM/R/ebic.zip.bsreg.R | 2 MXM-1.3.2/MXM/R/ebicScore.R |only MXM-1.3.2/MXM/R/fbed.beta.R | 25 MXM-1.3.2/MXM/R/fbed.clogit.R | 48 - MXM-1.3.2/MXM/R/fbed.cr.R | 29 MXM-1.3.2/MXM/R/fbed.gee.reg.R |only MXM-1.3.2/MXM/R/fbed.geeglm.R |only MXM-1.3.2/MXM/R/fbed.geeglm.reps.R |only MXM-1.3.2/MXM/R/fbed.geelm.R |only MXM-1.3.2/MXM/R/fbed.geelm.reps.R |only MXM-1.3.2/MXM/R/fbed.glm.R | 207 +++--- MXM-1.3.2/MXM/R/fbed.glm2.R |only MXM-1.3.2/MXM/R/fbed.glmm.R | 34 - MXM-1.3.2/MXM/R/fbed.glmm.reg.R | 61 + MXM-1.3.2/MXM/R/fbed.glmm.reps.R |only MXM-1.3.2/MXM/R/fbed.lm.R | 45 - MXM-1.3.2/MXM/R/fbed.lmm.R | 68 +- MXM-1.3.2/MXM/R/fbed.lmm.reps.R |only MXM-1.3.2/MXM/R/fbed.mmreg.R | 34 - MXM-1.3.2/MXM/R/fbed.multinom.R | 34 - MXM-1.3.2/MXM/R/fbed.nb.R | 32 - MXM-1.3.2/MXM/R/fbed.ordgee.R |only MXM-1.3.2/MXM/R/fbed.ordgee.reps.R |only MXM-1.3.2/MXM/R/fbed.ordinal.R | 35 - MXM-1.3.2/MXM/R/fbed.reg.R | 129 ++-- MXM-1.3.2/MXM/R/fbed.tobit.R | 34 - MXM-1.3.2/MXM/R/fbed.wr.R | 33 - MXM-1.3.2/MXM/R/fbed.zip.R | 24 MXM-1.3.2/MXM/R/fbedreg.bic.R |only MXM-1.3.2/MXM/R/fs.reg.R | 72 -- MXM-1.3.2/MXM/R/fs.reg_2.R | 56 - MXM-1.3.2/MXM/R/gSquare.R | 14 MXM-1.3.2/MXM/R/gammabsreg.R | 91 -- MXM-1.3.2/MXM/R/gammafsreg.R | 210 +----- MXM-1.3.2/MXM/R/gammafsreg_2.R | 34 - MXM-1.3.2/MXM/R/glm.bsreg.R | 462 ++++---------- MXM-1.3.2/MXM/R/glm.fsreg.R | 548 +---------------- MXM-1.3.2/MXM/R/glm.fsreg_2.R | 433 +------------ MXM-1.3.2/MXM/R/glmm.bsreg.R | 14 MXM-1.3.2/MXM/R/glmm.ci.mm.R | 13 MXM-1.3.2/MXM/R/glmm.gee.univregs.R |only MXM-1.3.2/MXM/R/glmm.reps.bsreg.R |only MXM-1.3.2/MXM/R/group.mvbetas.R |only MXM-1.3.2/MXM/R/iamb.R | 9 MXM-1.3.2/MXM/R/iamb.bs.R | 40 - MXM-1.3.2/MXM/R/iamb.gammabs.R | 11 MXM-1.3.2/MXM/R/iamb.glmbs.R | 14 MXM-1.3.2/MXM/R/iamb.normlogbs.R | 10 MXM-1.3.2/MXM/R/iamb.tobitbs.R | 8 MXM-1.3.2/MXM/R/ida.R |only MXM-1.3.2/MXM/R/identifyTheEquivalent.R | 7 MXM-1.3.2/MXM/R/identifyTheEquivalent.gee.R |only MXM-1.3.2/MXM/R/identifyTheEquivalent.ma.R | 8 MXM-1.3.2/MXM/R/identifyTheEquivalent.temporal.R | 6 MXM-1.3.2/MXM/R/internaliamb.binombs.R | 47 - MXM-1.3.2/MXM/R/internaliamb.bs.R | 2 MXM-1.3.2/MXM/R/internaliamb.gammabs.R | 57 - MXM-1.3.2/MXM/R/internaliamb.lmbs.R | 107 --- MXM-1.3.2/MXM/R/internaliamb.mmbs.R |only MXM-1.3.2/MXM/R/internaliamb.normlogbs.R | 57 - MXM-1.3.2/MXM/R/internaliamb.poisbs.R | 46 - MXM-1.3.2/MXM/R/internaliamb.tobitbs.R | 2 MXM-1.3.2/MXM/R/is.dag.R | 6 MXM-1.3.2/MXM/R/kfbed.gee.reg.R |only MXM-1.3.2/MXM/R/kfbed.glmm.reg.R |only MXM-1.3.2/MXM/R/kfbed.reg.R |only MXM-1.3.2/MXM/R/lm.fsreg.R | 257 +------- MXM-1.3.2/MXM/R/lm.fsreg_2.R | 280 ++------ MXM-1.3.2/MXM/R/lmm.bsreg.R | 3 MXM-1.3.2/MXM/R/lmm.reps.bsreg.R |only MXM-1.3.2/MXM/R/local.mmhc.skel.R | 6 MXM-1.3.2/MXM/R/ma.mmpc.R | 415 ------------- MXM-1.3.2/MXM/R/ma.ses.R | 36 - MXM-1.3.2/MXM/R/mammpc.output_script.R | 12 MXM-1.3.2/MXM/R/mases.output_script.R | 12 MXM-1.3.2/MXM/R/max_min_assoc.R | 8 MXM-1.3.2/MXM/R/max_min_assoc.gee.R |only MXM-1.3.2/MXM/R/max_min_assoc.ma.R | 6 MXM-1.3.2/MXM/R/max_min_assoc.temporal.R | 6 MXM-1.3.2/MXM/R/mb.R | 5 MXM-1.3.2/MXM/R/min_assoc.R | 10 MXM-1.3.2/MXM/R/min_assoc.gee.R |only MXM-1.3.2/MXM/R/min_assoc.ma.R | 8 MXM-1.3.2/MXM/R/min_assoc.temporal.R | 8 MXM-1.3.2/MXM/R/mm.bsreg.R |only MXM-1.3.2/MXM/R/mm.fsreg.R |only MXM-1.3.2/MXM/R/mm.fsreg_2.R |only MXM-1.3.2/MXM/R/mmhc.skel.R | 11 MXM-1.3.2/MXM/R/mmmb.R | 6 MXM-1.3.2/MXM/R/mmpc.gee.model.R |only MXM-1.3.2/MXM/R/mmpc.model.R | 128 +--- MXM-1.3.2/MXM/R/mmpc.or.R | 6 MXM-1.3.2/MXM/R/mmpc.path.R | 6 MXM-1.3.2/MXM/R/mmpc.temporal.model.R | 56 - MXM-1.3.2/MXM/R/mmpc.timeclass.model.R |only MXM-1.3.2/MXM/R/mmpcbackphase.R | 30 MXM-1.3.2/MXM/R/nei.R | 5 MXM-1.3.2/MXM/R/normlog.bsreg.R | 92 -- MXM-1.3.2/MXM/R/normlog.fsreg.R | 406 +++++------- MXM-1.3.2/MXM/R/normlog.fsreg_2.R | 37 - MXM-1.3.2/MXM/R/omp.R |only MXM-1.3.2/MXM/R/omp2.R |only MXM-1.3.2/MXM/R/ordinal.reg.R | 71 +- MXM-1.3.2/MXM/R/pc.or.R | 2 MXM-1.3.2/MXM/R/pc.skel.R | 2 MXM-1.3.2/MXM/R/perm.IdentifyEquivalence.R | 12 MXM-1.3.2/MXM/R/perm.Internalmmpc.R | 19 MXM-1.3.2/MXM/R/perm.Internalses.R | 43 - MXM-1.3.2/MXM/R/perm.apply_ideq.R | 6 MXM-1.3.2/MXM/R/perm.betaregs.R | 2 MXM-1.3.2/MXM/R/perm.identifyTheEquivalent.R | 6 MXM-1.3.2/MXM/R/perm.max_min_assoc.R | 7 MXM-1.3.2/MXM/R/perm.min_assoc.R | 8 MXM-1.3.2/MXM/R/perm.mmpc.R | 85 -- MXM-1.3.2/MXM/R/perm.ses.R | 74 -- MXM-1.3.2/MXM/R/perm.univariateScore.R | 9 MXM-1.3.2/MXM/R/perm.univregs.R | 22 MXM-1.3.2/MXM/R/perm.zipregs.R | 2 MXM-1.3.2/MXM/R/permBeta.R | 63 -- MXM-1.3.2/MXM/R/permBinom.R | 37 - MXM-1.3.2/MXM/R/permCR.R | 24 MXM-1.3.2/MXM/R/permClogit.R | 34 - MXM-1.3.2/MXM/R/permDcor.R | 80 -- MXM-1.3.2/MXM/R/permER.R | 24 MXM-1.3.2/MXM/R/permFisher.R | 145 +--- MXM-1.3.2/MXM/R/permGamma.R | 39 - MXM-1.3.2/MXM/R/permIGreg.R | 61 - MXM-1.3.2/MXM/R/permLogistic.R | 199 +----- MXM-1.3.2/MXM/R/permMMFisher.R |only MXM-1.3.2/MXM/R/permMMreg.R |only MXM-1.3.2/MXM/R/permMVreg.R | 40 - MXM-1.3.2/MXM/R/permMultinom.R |only MXM-1.3.2/MXM/R/permNB.R | 42 - MXM-1.3.2/MXM/R/permNormLog.R | 42 - MXM-1.3.2/MXM/R/permOrdinal.R |only MXM-1.3.2/MXM/R/permPois.R | 41 - MXM-1.3.2/MXM/R/permRQ.R | 39 - MXM-1.3.2/MXM/R/permReg.R | 122 +-- MXM-1.3.2/MXM/R/permTobit.R | 20 MXM-1.3.2/MXM/R/permWR.R | 28 MXM-1.3.2/MXM/R/permZIP.R | 56 - MXM-1.3.2/MXM/R/permcor.R | 19 MXM-1.3.2/MXM/R/permcorrels.R | 2 MXM-1.3.2/MXM/R/permgSquare.R | 20 MXM-1.3.2/MXM/R/quasibinom.bsreg.R |only MXM-1.3.2/MXM/R/quasibinom.fsreg.R |only MXM-1.3.2/MXM/R/quasibinom.fsreg_2.R |only MXM-1.3.2/MXM/R/quasipois.bsreg.R |only MXM-1.3.2/MXM/R/quasipois.fsreg.R |only MXM-1.3.2/MXM/R/quasipois.fsreg_2.R |only MXM-1.3.2/MXM/R/reg.fit.R | 33 - MXM-1.3.2/MXM/R/rint.reg.R |only MXM-1.3.2/MXM/R/rint.regs.R | 66 +- MXM-1.3.2/MXM/R/score.univregs.R | 12 MXM-1.3.2/MXM/R/ses.gee.model.R |only MXM-1.3.2/MXM/R/ses.model.R | 335 ++++------ MXM-1.3.2/MXM/R/ses.temporal.model.R |only MXM-1.3.2/MXM/R/ses.timeclass.model.R |only MXM-1.3.2/MXM/R/tc.plot.R | 6 MXM-1.3.2/MXM/R/testIndBeta.R | 70 -- MXM-1.3.2/MXM/R/testIndBinom.R | 27 MXM-1.3.2/MXM/R/testIndClogit.R | 15 MXM-1.3.2/MXM/R/testIndFisher.R | 149 +--- MXM-1.3.2/MXM/R/testIndGEEGamma.R |only MXM-1.3.2/MXM/R/testIndGEELogistic.R |only MXM-1.3.2/MXM/R/testIndGEENormLog.R |only MXM-1.3.2/MXM/R/testIndGEEOrdinal.R |only MXM-1.3.2/MXM/R/testIndGEEPois.R |only MXM-1.3.2/MXM/R/testIndGEEReg.R |only MXM-1.3.2/MXM/R/testIndGLMMLogistic.R |only MXM-1.3.2/MXM/R/testIndGLMMPois.R |only MXM-1.3.2/MXM/R/testIndGLMMReg.R |only MXM-1.3.2/MXM/R/testIndGamma.R | 38 - MXM-1.3.2/MXM/R/testIndIGreg.R | 72 -- MXM-1.3.2/MXM/R/testIndLMM.R |only MXM-1.3.2/MXM/R/testIndLogistic.R | 94 --- MXM-1.3.2/MXM/R/testIndMMFisher.R |only MXM-1.3.2/MXM/R/testIndMMReg.R |only MXM-1.3.2/MXM/R/testIndMVreg.R | 33 - MXM-1.3.2/MXM/R/testIndMultinom.R |only MXM-1.3.2/MXM/R/testIndNB.R | 32 - MXM-1.3.2/MXM/R/testIndNormLog.R | 31 MXM-1.3.2/MXM/R/testIndOrdinal.R |only MXM-1.3.2/MXM/R/testIndPois.R | 39 - MXM-1.3.2/MXM/R/testIndQBinom.R |only MXM-1.3.2/MXM/R/testIndQPois.R |only MXM-1.3.2/MXM/R/testIndRQ.R | 50 - MXM-1.3.2/MXM/R/testIndReg.R | 65 -- MXM-1.3.2/MXM/R/testIndSpearman.R | 122 +-- MXM-1.3.2/MXM/R/testIndTimeLogistic.R |only MXM-1.3.2/MXM/R/testIndTimeMultinom.R |only MXM-1.3.2/MXM/R/testIndTobit.R | 12 MXM-1.3.2/MXM/R/testIndZIP.R | 45 - MXM-1.3.2/MXM/R/tobit.bsreg.R | 57 - MXM-1.3.2/MXM/R/tobit.fsreg.R | 19 MXM-1.3.2/MXM/R/tobit.fsreg_2.R | 3 MXM-1.3.2/MXM/R/triangles.search.R |only MXM-1.3.2/MXM/R/univariateScore.R | 7 MXM-1.3.2/MXM/R/univariateScore.gee.R |only MXM-1.3.2/MXM/R/univariateScore.ma.R | 14 MXM-1.3.2/MXM/R/univariateScore.temporal.R | 16 MXM-1.3.2/MXM/R/univariateScore.timeclass.R |only MXM-1.3.2/MXM/R/univregs.R | 169 ++--- MXM-1.3.2/MXM/R/wald.Internalmmpc.R | 38 - MXM-1.3.2/MXM/R/wald.Internalses.R | 40 - MXM-1.3.2/MXM/R/wald.mmpc.R | 48 - MXM-1.3.2/MXM/R/wald.ses.R | 46 - MXM-1.3.2/MXM/R/wald.univariateScore.R | 9 MXM-1.3.2/MXM/R/wald.univregs.R | 13 MXM-1.3.2/MXM/R/waldBeta.R | 25 MXM-1.3.2/MXM/R/waldBinom.R | 24 MXM-1.3.2/MXM/R/waldCR.R | 12 MXM-1.3.2/MXM/R/waldER.R | 17 MXM-1.3.2/MXM/R/waldGamma.R | 20 MXM-1.3.2/MXM/R/waldIGreg.R | 34 - MXM-1.3.2/MXM/R/waldLogistic.R |only MXM-1.3.2/MXM/R/waldMMreg.R | 24 MXM-1.3.2/MXM/R/waldNB.R | 23 MXM-1.3.2/MXM/R/waldNormLog.R | 20 MXM-1.3.2/MXM/R/waldPois.R | 24 MXM-1.3.2/MXM/R/waldQBinom.R |only MXM-1.3.2/MXM/R/waldQPois.R |only MXM-1.3.2/MXM/R/waldTobit.R | 14 MXM-1.3.2/MXM/R/waldWR.R | 17 MXM-1.3.2/MXM/R/waldZIP.R | 34 - MXM-1.3.2/MXM/R/waldmmpc.model.R | 69 -- MXM-1.3.2/MXM/R/waldmmpc.path.R | 6 MXM-1.3.2/MXM/R/waldses.model.R | 199 ++---- MXM-1.3.2/MXM/R/wr.fsreg.R |only MXM-1.3.2/MXM/R/wr.fsreg_2.R |only MXM-1.3.2/MXM/R/zip.fsreg_2.R | 1 MXM-1.3.2/MXM/R/zipwei.R | 3 MXM-1.3.2/MXM/inst/doc/article.pdf |binary MXM-1.3.2/MXM/inst/doc/guide.ltx | 175 ++++- MXM-1.3.2/MXM/inst/doc/guide.pdf |binary MXM-1.3.2/MXM/man/MMPC.gee.output-class.Rd |only MXM-1.3.2/MXM/man/MMPC.temporal.output-class.Rd | 3 MXM-1.3.2/MXM/man/MMPCoutput-class.Rd | 5 MXM-1.3.2/MXM/man/MXM-internal.Rd | 91 ++ MXM-1.3.2/MXM/man/MXM-package.Rd | 21 MXM-1.3.2/MXM/man/MXMCondIndTests.Rd | 67 +- MXM-1.3.2/MXM/man/SES.Rd | 38 - MXM-1.3.2/MXM/man/SES.gee.output-class.Rd |only MXM-1.3.2/MXM/man/SES.temporal.Rd | 67 +- MXM-1.3.2/MXM/man/SES.temporal.output-class.Rd | 3 MXM-1.3.2/MXM/man/SES.timeclass.Rd |only MXM-1.3.2/MXM/man/SESoutput-class.Rd | 5 MXM-1.3.2/MXM/man/auc.Rd | 4 MXM-1.3.2/MXM/man/bic.fsreg.Rd | 14 MXM-1.3.2/MXM/man/bic.glm.fsreg.Rd | 27 MXM-1.3.2/MXM/man/bs.reg.Rd | 8 MXM-1.3.2/MXM/man/censIndCR.Rd | 79 +- MXM-1.3.2/MXM/man/certificate.of.exclusion.Rd |only MXM-1.3.2/MXM/man/ci.mm.Rd | 7 MXM-1.3.2/MXM/man/condi.Rd | 2 MXM-1.3.2/MXM/man/corfs.network.Rd | 2 MXM-1.3.2/MXM/man/cv.ses.Rd | 96 +-- MXM-1.3.2/MXM/man/ebic.bsreg.Rd | 14 MXM-1.3.2/MXM/man/ebic.glmm.bsreg.Rd | 8 MXM-1.3.2/MXM/man/fbed.gee.reg.Rd |only MXM-1.3.2/MXM/man/fbed.glmm.reg.Rd | 50 + MXM-1.3.2/MXM/man/fbed.reg.Rd | 54 + MXM-1.3.2/MXM/man/fbedreg.bic.Rd |only MXM-1.3.2/MXM/man/fs.reg.Rd | 29 MXM-1.3.2/MXM/man/gSquare.Rd | 26 MXM-1.3.2/MXM/man/glm.bsreg.Rd | 17 MXM-1.3.2/MXM/man/glm.fsreg.Rd | 15 MXM-1.3.2/MXM/man/glmm.bsreg.Rd | 8 MXM-1.3.2/MXM/man/glmm.ci.mm.Rd | 9 MXM-1.3.2/MXM/man/group.mvbetas.Rd |only MXM-1.3.2/MXM/man/iamb.Rd | 6 MXM-1.3.2/MXM/man/iamb.bs.Rd | 13 MXM-1.3.2/MXM/man/ida.Rd |only MXM-1.3.2/MXM/man/lm.fsreg.Rd | 17 MXM-1.3.2/MXM/man/local.mmhc.skel.Rd | 7 MXM-1.3.2/MXM/man/ma.ses.Rd | 20 MXM-1.3.2/MXM/man/mammpc.output-class.Rd | 5 MXM-1.3.2/MXM/man/mases.output-class.Rd | 5 MXM-1.3.2/MXM/man/mb.Rd | 11 MXM-1.3.2/MXM/man/mmhc.skel.Rd | 6 MXM-1.3.2/MXM/man/mmmb.Rd | 14 MXM-1.3.2/MXM/man/mmpc.or.Rd | 11 MXM-1.3.2/MXM/man/mmpc.path.Rd | 21 MXM-1.3.2/MXM/man/mmpc.temporal.model.Rd | 43 + MXM-1.3.2/MXM/man/mmpc.timeclass.model.Rd |only MXM-1.3.2/MXM/man/mmpcbackphase.Rd | 12 MXM-1.3.2/MXM/man/nei.Rd | 10 MXM-1.3.2/MXM/man/omp.Rd |only MXM-1.3.2/MXM/man/pc.or.Rd | 10 MXM-1.3.2/MXM/man/pc.skel.Rd | 13 MXM-1.3.2/MXM/man/permcor.Rd | 17 MXM-1.3.2/MXM/man/plotnetwork.Rd | 2 MXM-1.3.2/MXM/man/rdag.Rd | 7 MXM-1.3.2/MXM/man/reg.fit.Rd | 13 MXM-1.3.2/MXM/man/ses.model.Rd | 10 MXM-1.3.2/MXM/man/shd.Rd | 6 MXM-1.3.2/MXM/man/tc.plot.Rd | 7 MXM-1.3.2/MXM/man/testIndBeta.Rd | 53 - MXM-1.3.2/MXM/man/testIndBinom.Rd | 49 - MXM-1.3.2/MXM/man/testIndClogit.Rd | 18 MXM-1.3.2/MXM/man/testIndFisher.Rd | 37 - MXM-1.3.2/MXM/man/testIndGEEReg.Rd |only MXM-1.3.2/MXM/man/testIndGLMMReg.Rd |only MXM-1.3.2/MXM/man/testIndGamma.Rd | 81 +- MXM-1.3.2/MXM/man/testIndLogistic.Rd | 86 +- MXM-1.3.2/MXM/man/testIndPois.Rd | 89 +- MXM-1.3.2/MXM/man/testIndReg.Rd | 88 +- MXM-1.3.2/MXM/man/testIndTimeLogistic.Rd |only MXM-1.3.2/MXM/man/testIndTobit.Rd | 23 MXM-1.3.2/MXM/man/topological_sort.Rd | 2 MXM-1.3.2/MXM/man/triangles.search.Rd |only MXM-1.3.2/MXM/man/univregs.Rd | 64 +- MXM-1.3.2/MXM/vignettes/biblio.bib | 17 MXM-1.3.2/MXM/vignettes/guide.ltx | 175 ++++- 418 files changed, 5205 insertions(+), 9039 deletions(-)
Title: Finite Gaussian Mixture Models for Clustering and Classification
Description: An implementation of all 14 Gaussian parsimonious
clustering models (GPCMs) for model-based clustering and
model-based classification.
Author: Ryan P. Browne, Aisha ElSherbiny and Paul D. McNicholas
Maintainer: Ryan Browne <rbrowne@math.mcmaster.ca>
Diff between mixture versions 1.4 dated 2015-03-10 and 1.5 dated 2018-02-13
ChangeLog | 3 DESCRIPTION | 12 MD5 | 15 NAMESPACE | 6 R/mixture.R | 51 - src/Makevars | 2 src/functions.h | 3 src/mixture.c | 2194 -------------------------------------------- src/registerDynamicSymbol.c |only 9 files changed, 71 insertions(+), 2215 deletions(-)
Title: Internet Memes for Data Analysts
Description: Generates internet memes that optionally include a superimposed inset plot and other atypical features,
combining the visual impact of an attention-grabbing meme with graphic results of data analysis.
The package differs from related packages that focus on imitating and reproducing standard memes.
Some packages do this by interfacing with online meme generators whereas others achieve this natively.
This package takes the latter approach. It does not interface with online meme generators or require any authentication with external websites.
It reads images directly from local files or via URL and meme generation is done by the package.
While this is similar to the 'meme' package available on CRAN, it differs in that the focus is on
allowing for non-standard meme layouts and hybrids of memes mixed with graphs.
While this package can be used to make basic memes like an online meme generator would produce,
it caters primarily to hybrid graph-meme plots where the meme presentation can be seen as a backdrop highlighting
foreground graphs of data analysis results.
The package also provides support for an arbitrary number of meme text labels with arbitrary size, position and other attributes
rather than restricting to the standard top and/or bottom text placement.
This is useful for proper aesthetic interleaving of plots of data between meme image backgrounds and overlain text labels.
The package offers a selection of templates for graph placement and appearance with respect to the underlying meme.
Graph templates also permit additional template-specific customization.
Animated gif support is provided but this is optional and functional only if the 'magick' package is installed.
'magick' is not required unless gif functionality is desired.
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <mfleonawicz@alaska.edu>
Diff between memery versions 0.4.1 dated 2018-02-12 and 0.4.2 dated 2018-02-13
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 6 +++++- tests/testthat/test-meme.R | 7 ++++--- 4 files changed, 15 insertions(+), 10 deletions(-)
Title: Robust Estimation Using Heavy-Tailed Distributions
Description: Functions to perform robust estimation considering heavy-tailed distributions.
Currently, the package includes routines for linear regression, linear mixed-effect
models, multivariate location and scatter estimation, multivariate regression,
penalized splines, random variate generation and some support functions.
Author: Felipe Osorio
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>
Diff between heavy versions 0.38.1 dated 2017-04-04 and 0.38.19 dated 2018-02-13
ChangeLog | 10 DESCRIPTION | 18 - MD5 | 26 +- NAMESPACE | 4 R/specfun.R |only inst/CITATION | 8 man/pgamma.deriv.Rd |only man/tgamma.Rd | 8 src/family.c | 2 src/init.c | 39 +-- src/matrix.c | 556 ++++++++++++++++++++++++++-------------------------- src/matrix.h | 4 src/mv_fit.c | 56 ++--- src/specfun.c | 164 ++++++++++----- src/specfun.h | 9 15 files changed, 498 insertions(+), 406 deletions(-)
Title: Get WHO Tuberculosis Data
Description: Facilitates easy import of analysis ready World Health Organisation Tuberculosis data and provides plotting functions for exploratory data analysis.
Author: Sam Abbott [aut, cre]
Maintainer: Sam Abbott <contact@samabbott.co.uk>
Diff between getTBinR versions 0.5.1 dated 2018-01-26 and 0.5.2 dated 2018-02-13
DESCRIPTION | 6 +- MD5 | 46 ++++++++--------- NAMESPACE | 3 + NEWS.md | 13 ++++ R/get_data.R | 89 +++++++++++++++++++++++++-------- R/get_data_dict.R | 3 - R/get_tb_burden.R | 16 +++-- R/map_tb_burden.R | 31 +++++++++-- R/plot_tb_burden.R | 8 +- R/plot_tb_burden_overview.R | 8 +- R/run_tb_dashboard.R | 2 README.md | 18 +++--- inst/doc/case_study_global_trends.R | 5 - inst/doc/case_study_global_trends.Rmd | 5 - inst/doc/case_study_global_trends.html | 13 ++-- inst/doc/intro.html | 48 ++++++++--------- inst/shiny/ExploreGlobalTB/server.R | 8 +- man/get_data.Rd | 6 +- man/get_data_dict.Rd | 7 ++ man/get_tb_burden.Rd | 7 ++ man/map_tb_burden.Rd | 3 - tests/testthat/test-get_data.R | 8 ++ tests/testthat/test-map_tb_burden.R | 7 ++ vignettes/case_study_global_trends.Rmd | 5 - 24 files changed, 239 insertions(+), 126 deletions(-)
Title: Phonetic Spelling Algorithms
Description: Provides a collection of phonetic algorithms including
Soundex, Metaphone, NYSIIS, Caverphone, and others.
Author: James P. Howard, II [aut, cre],
Oliver Keyes [ctb]
Maintainer: "James P. Howard, II" <jh@jameshoward.us>
Diff between phonics versions 0.7.5 dated 2017-08-25 and 1.0.0 dated 2018-02-13
DESCRIPTION | 12 ++++++------ MD5 | 6 +++--- README.md | 8 ++++++++ inst/doc/phonics.html | 4 ++-- 4 files changed, 19 insertions(+), 11 deletions(-)
Title: Various Utilities for Microbial Genomics and Metagenomics
Description: A collection of functions for microbial ecology and other
applications of genomics and metagenomics. Companion package for the
Enveomics Collection (Rodriguez-R, L.M. and Konstantinidis, K.T., 2016
<DOI:10.7287/peerj.preprints.1900v1>).
Author: Luis M. Rodriguez-R [aut, cre]
Maintainer: Luis M. Rodriguez-R <lmrodriguezr@gmail.com>
Diff between enveomics.R versions 1.1.6 dated 2017-08-29 and 1.1.7 dated 2018-02-13
DESCRIPTION | 6 +-- MD5 | 11 +++--- NAMESPACE | 2 - R/barplot.R | 11 +----- R/recplot2.R | 53 ++++++++++++++++++++++++++++++++- man/enve.recplot2.compareIdentities.Rd |only man/enve.recplot2.extractWindows.Rd | 2 - 7 files changed, 66 insertions(+), 19 deletions(-)
Title: Client for the YouTube API
Description: Get comments posted on YouTube videos, information on how many
times a video has been liked, search for videos with particular content, and
much more. You can also scrape captions from a few videos. To learn more about
the YouTube API, see <https://developers.google.com/youtube/v3/>.
Author: Gaurav Sood [aut, cre],
Kate Lyons [ctb]
Maintainer: Gaurav Sood <gsood07@gmail.com>
Diff between tuber versions 0.9.3 dated 2018-02-02 and 0.9.4 dated 2018-02-13
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 4 ++++ R/get_all_comments.R | 49 +++++++++++++++++++++++-------------------------- inst/doc/tuber-ex.R | 18 +++++++++--------- inst/doc/tuber-ex.Rmd | 34 +++++++++++++++++----------------- inst/doc/tuber-ex.html | 40 ++++++++++++++++++++-------------------- vignettes/tuber-ex.Rmd | 34 +++++++++++++++++----------------- 8 files changed, 100 insertions(+), 99 deletions(-)
Title: Linkage Analysis in Outcrossing Polyploids
Description: Creation of linkage maps in polyploid species from marker dosage
scores of an F1 cross from two heterozygous parents. Currently works for autotriploid, autotetraploid and autohexaploid species,
as well as segmental allotetraploids. Methods are described in a preprint manuscript of Bourke et al. (2017) <doi:10.1101/228817>.
Author: Peter Bourke [aut, cre],
Geert van Geest [aut]
Maintainer: Peter Bourke <pbourkey@gmail.com>
Diff between polymapR versions 1.0.12 dated 2017-12-14 and 1.0.13 dated 2018-02-13
DESCRIPTION | 10 +- MD5 | 9 + R/aiding_functions.R | 24 +++++ R/exported_functions.R | 183 ++++++++++++++++------------------------ inst/doc/Vignette_polymapR.html | 10 +- man/colour.bar.Rd |only 6 files changed, 116 insertions(+), 120 deletions(-)
Title: Dependence Measures via Energy Statistics
Description: Implementations of (1) mutual dependence measures and mutual independence tests in
Jin, Z., and Matteson, D. S. (2017) <arXiv:1709.02532>;
(2) independent component analysis methods based on mutual dependence measures in
Jin, Z., and Matteson, D. S. (2017) <arXiv:1709.02532>
and Pfister, N., et al. (2018) <doi:10.1111/rssb.12235>;
(3) conditional mean dependence measures and conditional mean independence tests in
Shao, X., and Zhang, J. (2014) <doi:10.1080/01621459.2014.887012>
and Park, T., et al. (2015) <doi:10.1214/15-EJS1047>.
Author: Ze Jin [aut, cre],
Shun Yao [aut],
David S. Matteson [aut],
Xiaofeng Shao [aut]
Maintainer: Ze Jin <zj58@cornell.edu>
Diff between EDMeasure versions 1.0.0 dated 2018-02-12 and 1.1.0 dated 2018-02-13
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- NEWS.md | 5 +++++ inst/CITATION | 4 ++-- 4 files changed, 15 insertions(+), 10 deletions(-)
Title: Species Distribution MOdeling with Pseudo-Absences
Description: Tools for transferable species distribution modeling and pseudo-absence
data generation allowing the straightforward design of relatively complex experiments
with multiple factors affecting the uncertainty (variability) of SDM outputs
(pseudo-absence sample, climate projection, modeling algorithm, etc.), and the
quantification of the contribution of different factors to the final variability
following the method described in Deque el al. (2010) <doi:10.1007/s00382-011-1053-x>.
Multiple methods for pseudo-absence data generation can be applied, including the novel
Three-step method as described in Iturbide et al. (2015) <doi:10.1016/j.ecolmodel.2015.05.018>.
Additionally, a function for niche overlap calculation is provided, considering the metrics
described in Warren et al. (2008) <10.1111/j.1558-5646.2008.00482.x> and in
Pianka (1973) <10.1146/annurev.es.04.110173.000413>.
Author: Maialen Iturbide [aut, cre],
Joaquin Bedia [ctb],
SantanderMetGroup http://meteo.unican.es [ctb]
Maintainer: Maialen Iturbide <miturbide@ifca.unican.es>
Diff between mopa versions 1.0.0 dated 2017-06-06 and 1.0.1 dated 2018-02-13
DESCRIPTION | 12 ++++----- MD5 | 26 +++++++++++-------- NAMESPACE | 15 +++++++++++ R/extractFromPrediction.R | 40 +++++++++++++++++++++++++----- R/mopaTrain.R | 2 - R/nicheOver.R | 56 ++++++++++++++++++++++++++----------------- R/rdata.R | 2 - R/varianceAnalysis.R | 4 +-- R/varianceSummary.R |only inst/doc |only man/add_legend.Rd |only man/extractFromPrediction.Rd | 40 +++++++++++++++++++++++++----- man/mods.Rd | 2 - man/nicheOver.Rd | 52 ++++++++++++++++++++++++--------------- man/varianceAnalysis.Rd | 6 +++- man/varianceSummary.Rd |only 16 files changed, 177 insertions(+), 80 deletions(-)
Title: Clinical Trial Simulations
Description: Provides a general framework for clinical trial simulations based
on the Clinical Scenario Evaluation (CSE) approach. The package supports a
broad class of data models (including clinical trials with continuous, binary,
survival-type and count-type endpoints as well as multivariate outcomes that are
based on combinations of different endpoints), analysis strategies and commonly
used evaluation criteria.
Author: Gautier Paux, Alex Dmitrienko.
Maintainer: Gautier Paux <gautier@paux.fr>
Diff between Mediana versions 1.0.5 dated 2017-05-25 and 1.0.6 dated 2018-02-13
DESCRIPTION | 14 ++-- MD5 | 80 +++++++++++++++------------ NAMESPACE | 4 + NEWS.md | 28 +++++++++ R/AnalysisStack.R |only R/AnalysisStack.default.R |only R/CreateAnalysisStructure.R | 4 - R/CreateTableOutcome.R | 8 +- R/CreateTableTest.R | 11 ++- R/ExtractAnalysisStack.R |only R/FallbackAdj.R |only R/FisherTest.R | 62 +++++++++++++-------- R/GLMNegBinomTest.R | 20 +++++- R/GLMPoissonTest.R | 21 +++++-- R/GenerateReport.R | 6 +- R/GenerateReport.default.R | 107 ++++++++++++++++++------------------- R/LogrankTest.R | 13 ++++ R/MixtureGatekeepingAdj.R | 2 R/MulinomialDist.R |only R/MultipleSequenceGatekeepingAdj.R | 4 - R/OrdinalLogisticRegTest.R |only R/ParallelGatekeepingAdj.R | 4 - R/PropStat.R |only R/PropTest.R | 35 +++++++++--- R/PropTestNI.R | 31 +++++++--- R/TTest.R | 18 +++++- R/TTestNI.R | 15 ++++- R/WilcoxTest.R | 52 +++++++++++------ build/vignette.rds |binary inst/doc/adjusted-pvalues.Rmd |only inst/doc/adjusted-pvalues.html |only inst/doc/case-studies.Rmd | 14 ++++ inst/doc/case-studies.html | 13 +++- inst/doc/mediana.Rmd | 46 +++++++++++---- inst/doc/mediana.html | 40 ++++++++----- man/AdjustPvalues.Rd | 16 +++-- man/AnalysisStack.Rd |only man/DataStack.Rd | 2 man/ExtractAnalysisStack.Rd |only man/Mediana-package.Rd | 13 +++- man/MultAdjProc.Rd | 1 man/OutcomeDist.Rd | 1 man/Statistic.Rd | 33 +++++------ man/Test.Rd | 21 +++---- vignettes/adjusted-pvalues.Rmd |only vignettes/case-studies.Rmd | 14 ++++ vignettes/mediana.Rmd | 46 +++++++++++---- 47 files changed, 530 insertions(+), 269 deletions(-)
Title: An 'Rcpp' Interface for Eunjeon Project
Description: An 'Rcpp' interface for Eunjeon project <http://eunjeon.blogspot.com/>.
The 'mecab-ko' and 'mecab-ko-dic' is based on a C++ library,
and part-of-speech tagging with them is useful when the spacing of source Korean text is not correct.
This package provides part-of-speech tagging and tokenization function for Korean text.
Author: Junhewk Kim
Maintainer: Junhewk Kim <junhewk.kim@gmail.com>
Diff between RmecabKo versions 0.1.6 dated 2017-10-06 and 0.1.6.2 dated 2018-02-13
DESCRIPTION | 9 - MD5 | 38 ++++-- NAMESPACE | 8 + R/RcppExports.R | 12 +- R/install.R | 28 ++++ R/installdic.R |only R/ngrams.R |only R/nouns.R | 298 ++++++++++++++++++++++++++++++++++------------------ R/package.R | 6 + R/pos.R | 215 +++++++++++++++++++------------------ R/tokenizers.R |only R/utils.R | 55 +++++---- README.md | 22 ++- man/RmecabKo.Rd | 6 + man/install_dic.Rd |only man/nouns.Rd | 2 man/pos.Rd | 7 - man/token.Rd |only man/token_ngrams.Rd |only man/words.Rd |only src/RcppExports.cpp | 37 +++++- src/n_grams.cpp |only src/nouns.cpp | 57 +++++++++ src/pos.cpp | 13 +- 24 files changed, 547 insertions(+), 266 deletions(-)
Title: Segmentation and Classification of Accelerometer Data
Description: Segmentation and classification procedures for data from the 'Activinsights GENEActiv' <https://www.activinsights.com/products/geneactiv/> accelerometer that provides the user with a model to guess behaviour from test data where behaviour is missing.
Includes a step counting algorithm, a function to create segmented data with custom features and a function to use recursive partitioning provided in the function rpart() of the 'rpart' package to create classification models.
Author: Chris Campbell [aut],
Aimee Gott [aut],
Joss Langford [aut],
Charles Sweetland [aut, cre],
Activinsights Ltd [cph]
Maintainer: Charles Sweetland <charles@sweetland-solutions.co.uk>
Diff between GENEAclassify versions 1.4.8 dated 2018-01-16 and 1.4.9 dated 2018-02-13
DESCRIPTION | 16 ++++++++-------- MD5 | 22 +++++++++++----------- R/classifyGENEA.R | 4 ++-- R/getGENEAsegments.R | 6 +++--- R/segmentation.R | 8 ++++---- R/stepCounter.R | 8 ++++++-- build/vignette.rds |binary inst/doc/GENEAclassifyDemo.html | 40 ++++++++++++++++++++-------------------- man/classifyGENEA.Rd | 4 ++-- man/getGENEAsegments.Rd | 4 ++-- man/segmentation.Rd | 4 ++-- man/stepCounter2.Rd | 2 +- 12 files changed, 61 insertions(+), 57 deletions(-)
Title: An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Description: Provides the 'ImageJ' 'Auto Threshold' plugin functionality to R users.
See <http://imagej.net/Auto_Threshold> and Landini et al. (2017) <DOI:10.1111/jmi.12474>.
Author: Rory Nolan [aut, cre, trl],
Luis Alvarez [ctb],
Sergi Padilla-Parra [ctb, ths],
Gabriel Landini [ctb, cph]
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between autothresholdr versions 1.1.1 dated 2018-01-28 and 1.1.2 dated 2018-02-13
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 12 ++++++++++++ inst/doc/autothresholdr.html | 4 ++-- tests/testthat/test_auto_thresh_methods.R | 2 +- 5 files changed, 23 insertions(+), 11 deletions(-)
More information about autothresholdr at CRAN
Permanent link
Title: Neyman-Pearson (NP) Classification Algorithms and NP Receiver
Operating Characteristic (NP-ROC) Curves
Description: In many binary classification applications, such as disease
diagnosis and spam detection, practitioners commonly face the need to limit
type I error (i.e., the conditional probability of misclassifying a class 0
observation as class 1) so that it remains below a desired threshold. To address
this need, the Neyman-Pearson (NP) classification paradigm is a natural choice;
it minimizes type II error (i.e., the conditional probability of misclassifying
a class 1 observation as class 0) while enforcing an upper bound, alpha, on the
type I error. Although the NP paradigm has a century-long history in hypothesis
testing, it has not been well recognized and implemented in classification
schemes. Common practices that directly limit the empirical type I error to
no more than alpha do not satisfy the type I error control objective because
the resulting classifiers are still likely to have type I errors much larger
than alpha. As a result, the NP paradigm has not been properly implemented
for many classification scenarios in practice. In this work, we develop the
first umbrella algorithm that implements the NP paradigm for all scoring-type
classification methods, including popular methods such as logistic regression,
support vector machines and random forests. Powered by this umbrella algorithm,
we propose a novel graphical tool for NP classification methods: NP receiver
operating characteristic (NP-ROC) bands, motivated by the popular receiver
operating characteristic (ROC) curves. NP-ROC bands will help choose in a data
adaptive way and compare different NP classifiers.
Author: Yang Feng, Jingyi Jessica Li and Xin Tong
Maintainer: Yang Feng <yang.feng@columbia.edu>
Diff between nproc versions 2.0.9 dated 2017-09-17 and 2.1.1 dated 2018-02-13
ChangeLog | 5 ++ DESCRIPTION | 19 +++----- MD5 | 53 +++++++++++++---------- NAMESPACE | 3 + R/compare.R | 2 R/npc.R | 69 ++++++++++++++++++++--------- R/npfuns.R | 106 +++++++++++++++++++++++++++++++++++++++------- R/nproc.R | 24 ++++++---- R/predict.npc.R | 27 ++++++----- R/print.npc.R |only R/print.nproc.R |only R/rocCV.R | 3 - build/vignette.rds |binary inst/CITATION |only inst/doc/nproc-demo.Rmd | 2 inst/doc/nproc-demo.pdf |binary inst/nproc/server.R | 32 ++++++------- inst/nproc/ui.R | 3 - inst/nproc2 |only man/compare.Rd | 3 - man/lines.nproc.Rd | 1 man/npc.Rd | 54 ++++++++++++++--------- man/nproc.Rd | 26 ++++++----- man/plot.nproc.Rd | 1 man/predict.npc.Rd | 26 ++++++----- man/print.npc.Rd |only man/print.nproc.Rd |only man/rocCV.Rd | 3 - vignettes/nproc-demo.Rmd | 2 vignettes/nproc-demo.html | 80 +++++++++++++++++++--------------- 30 files changed, 346 insertions(+), 198 deletions(-)
Title: SEC Filings Access
Description: A set of methods to access and parse live filing information from the
U.S. Securities and Exchange Commission (SEC - <https://sec.gov>) including
company and fund filings along with all associated metadata.
Author: Micah J Waldstein [aut, cre]
Maintainer: Micah J Waldstein <micah@waldste.in>
Diff between edgarWebR versions 0.3.0 dated 2017-12-22 and 0.3.1 dated 2018-02-13
DESCRIPTION | 10 +++++----- MD5 | 20 ++++++++++---------- R/full_text.R | 3 +++ R/header_search.R | 3 +++ inst/doc/edgarWebR.html | 14 +++++++------- inst/doc/parsing.R | 4 ++-- inst/doc/parsing.Rmd | 4 ++-- inst/doc/parsing.html | 6 ++++-- man/full_text.Rd | 3 +++ man/header_search.Rd | 3 +++ vignettes/parsing.Rmd | 4 ++-- 11 files changed, 44 insertions(+), 30 deletions(-)
Title: ILO Open Data via Ilostat Bulk Download Facility or SDMX Web
Service
Description: Tools to download data from the ilostat database
<http://www.ilo.org/ilostat> together with search and
manipulation utilities.
Author: ILO Department of Statistics [cph, fnd],
David Bescond [aut, cre],
Rosina Gammarano [ctr]
Maintainer: David Bescond <bescond@ilo.org>
Diff between Rilostat versions 0.2 dated 2017-09-12 and 0.2.1 dated 2018-02-13
DESCRIPTION | 8 +++---- LICENSE | 2 - MD5 | 20 +++++++++--------- NAMESPACE | 1 NEWS | 5 ++++ R/get_ilostat.R | 41 ++++++++++++++++++++++++++++--------- R/get_ilostat_toc.R | 15 ++++++++++++- R/ilostat.R | 1 R/sdmx_ilostat.R | 53 +++++++++++++++++++++++++++++++++++++------------ README.md | 6 +++-- man/get_ilostat_toc.Rd | 2 - 11 files changed, 113 insertions(+), 41 deletions(-)
Title: Thematic Map Tools
Description: Set of tools for reading and processing spatial data. The aim is to supply the workflow to create thematic maps. This package also facilitates 'tmap', the package for visualizing thematic maps.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Diff between tmaptools versions 1.2-2 dated 2017-11-24 and 1.2-3 dated 2018-02-13
DESCRIPTION | 10 +++++----- MD5 | 10 +++++----- NEWS | 3 +++ R/smooth_map.R | 4 ++-- man/aggregate_map.Rd | 2 +- man/smooth_map.Rd | 2 +- 6 files changed, 17 insertions(+), 14 deletions(-)
Title: Thematic Maps
Description: Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Author: Martijn Tennekes [aut, cre],
Joel Gombin [ctb],
Sebastian Jeworutzki [ctb],
Kent Russell [ctb],
Richard Zijdeman [ctb],
John Clouse [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Diff between tmap versions 1.11 dated 2017-11-24 and 1.11-1 dated 2018-02-13
DESCRIPTION | 14 ++-- MD5 | 30 ++++----- NEWS | 6 + R/meta_plot.R | 4 - R/num2pal.R | 6 - R/plot_all.R | 2 R/process_other_aes.R | 2 R/tmap_arrange.R | 2 R/view_tmap.R | 34 +++++++---- R/xxx_scales.R | 91 +++++++++++++++-------------- build/vignette.rds |binary inst/doc/tmap-modes.html | 16 ++--- inst/doc/tmap-nutshell.html | 134 ++++++++++++++++++++++---------------------- man/tm_facets.Rd | 1 man/tm_symbols.Rd | 3 man/tmap_leaflet.Rd | 2 16 files changed, 185 insertions(+), 162 deletions(-)
Title: Analysis and Presentation of Social Scientific Data
Description: This is a collection of tools that the author (Jacob) has written
for the purpose of more efficiently understanding and sharing the results of
(primarily) regression analyses. There are a number of functions focused
specifically on the interpretation and presentation of interactions in linear
models. Just about everything supports models from the survey package.
Author: Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
Maintainer: Jacob A. Long <long.1377@osu.edu>
Diff between jtools versions 0.9.3 dated 2018-01-28 and 0.9.4 dated 2018-02-13
DESCRIPTION | 11 +- MD5 | 64 +++++++------- NEWS.md | 8 + R/export_summ.R | 14 +-- R/gscale.R | 25 ++--- R/summ.R | 33 ++++--- R/svytools.R | 28 ++++-- inst/doc/categorical.html | 8 - inst/doc/interactions.R | 3 inst/doc/interactions.Rmd | 3 inst/doc/interactions.html | 10 +- inst/doc/summ.R | 3 inst/doc/summ.Rmd | 3 inst/doc/summ.html | 4 inst/doc/svycor.R | 3 inst/doc/svycor.Rmd | 3 inst/doc/svycor.html | 4 man/export_summs.Rd | 14 +-- man/gscale.Rd | 25 ++--- man/pf_sv_test.Rd | 12 +- man/summ.merMod.Rd | 19 ++-- man/summ.svyglm.Rd | 14 +-- man/svycor.Rd | 2 man/svysd.Rd | 2 man/weights_tests.Rd | 12 +- tests/testthat/Rplots.pdf |binary tests/testthat/test-export-summs.R | 142 ++++++++++++++++++-------------- tests/testthat/test-gscale.R | 76 ++++++++--------- tests/testthat/test-jsumm.R | 163 ++++++++++++++++++++----------------- tests/testthat/test-misc.R | 90 +++++++++----------- vignettes/interactions.Rmd | 3 vignettes/summ.Rmd | 3 vignettes/svycor.Rmd | 3 33 files changed, 454 insertions(+), 353 deletions(-)
Title: Inferential Statistics
Description: Select set of parametric and non-parametric statistical tests. 'inferr' builds upon the solid set of
statistical tests provided in 'stats' package by including additional data types as inputs, expanding and
restructuring the test results. The tests included are t tests, variance tests, proportion tests, chi square tests, Levene's test, McNemar Test, Cochran's Q test and Runs test.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Diff between inferr versions 0.2.0 dated 2017-12-11 and 0.3.0 dated 2018-02-13
inferr-0.2.0/inferr/R/infer-two-samp-var-test-shiny.R |only inferr-0.2.0/inferr/inst/application/helper |only inferr-0.2.0/inferr/man/var_test_shiny.Rd |only inferr-0.2.0/inferr/tests/testthat/test-output.R |only inferr-0.2.0/inferr/tests/testthat/test-two-samp-var-test-shiny.R |only inferr-0.3.0/inferr/DESCRIPTION | 13 inferr-0.3.0/inferr/MD5 | 164 inferr-0.3.0/inferr/NAMESPACE | 20 inferr-0.3.0/inferr/NEWS.md | 12 inferr-0.3.0/inferr/R/infer-anova.R | 66 inferr-0.3.0/inferr/R/infer-binom-test.R | 113 inferr-0.3.0/inferr/R/infer-chisq-assoc-test.R | 128 inferr-0.3.0/inferr/R/infer-chisq-gof-test.R | 121 inferr-0.3.0/inferr/R/infer-cochran-q-test.R | 47 inferr-0.3.0/inferr/R/infer-data-hsb.R | 2 inferr-0.3.0/inferr/R/infer-launch-shiny-app.R | 8 inferr-0.3.0/inferr/R/infer-levene-test.R | 151 inferr-0.3.0/inferr/R/infer-mcnemar-test.R | 68 inferr-0.3.0/inferr/R/infer-os-prop-test.R | 124 inferr-0.3.0/inferr/R/infer-os-t-test.R | 113 inferr-0.3.0/inferr/R/infer-os-var-test.R | 86 inferr-0.3.0/inferr/R/infer-output.R | 1801 +++++----- inferr-0.3.0/inferr/R/infer-runs-test.R | 152 inferr-0.3.0/inferr/R/infer-ts-ind-ttest.R | 115 inferr-0.3.0/inferr/R/infer-ts-paired-ttest.R | 72 inferr-0.3.0/inferr/R/infer-ts-prop-test.R | 279 - inferr-0.3.0/inferr/R/infer-ts-var-test.R | 143 inferr-0.3.0/inferr/R/infer-utils.R | 985 ++--- inferr-0.3.0/inferr/R/inferr.R |only inferr-0.3.0/inferr/README.md | 122 inferr-0.3.0/inferr/data/hsb.rda |binary inferr-0.3.0/inferr/inst/application/logic/logic_anova.R | 5 inferr-0.3.0/inferr/inst/application/logic/logic_binomtest.R | 3 inferr-0.3.0/inferr/inst/application/logic/logic_chict.R | 3 inferr-0.3.0/inferr/inst/application/logic/logic_chigof.R | 4 inferr-0.3.0/inferr/inst/application/logic/logic_cochran.R | 6 inferr-0.3.0/inferr/inst/application/logic/logic_itest.R | 4 inferr-0.3.0/inferr/inst/application/logic/logic_levene.R | 16 inferr-0.3.0/inferr/inst/application/logic/logic_osprop.R | 8 inferr-0.3.0/inferr/inst/application/logic/logic_osvar.R | 10 inferr-0.3.0/inferr/inst/application/logic/logic_ptest.R | 8 inferr-0.3.0/inferr/inst/application/logic/logic_runs.R | 9 inferr-0.3.0/inferr/inst/application/logic/logic_transform2.R | 6 inferr-0.3.0/inferr/inst/application/logic/logic_tsprop.R | 8 inferr-0.3.0/inferr/inst/application/logic/logic_tsvar.R | 9 inferr-0.3.0/inferr/inst/application/logic/logic_ttest.R | 10 inferr-0.3.0/inferr/inst/application/server.R | 7 inferr-0.3.0/inferr/inst/application/ui/ui_levene.R | 34 inferr-0.3.0/inferr/inst/doc/intro.R | 75 inferr-0.3.0/inferr/inst/doc/intro.Rmd | 88 inferr-0.3.0/inferr/inst/doc/intro.html | 734 ++-- inferr-0.3.0/inferr/man/infer_binom_calc.Rd | 10 inferr-0.3.0/inferr/man/infer_chisq_assoc_test.Rd | 12 inferr-0.3.0/inferr/man/infer_chisq_gof_test.Rd | 10 inferr-0.3.0/inferr/man/infer_cochran_qtest.Rd | 8 inferr-0.3.0/inferr/man/infer_levene_test.Rd | 41 inferr-0.3.0/inferr/man/infer_mcnemar_test.Rd | 16 inferr-0.3.0/inferr/man/infer_oneway_anova.Rd | 10 inferr-0.3.0/inferr/man/infer_os_prop_test.Rd | 24 inferr-0.3.0/inferr/man/infer_os_t_test.Rd | 18 inferr-0.3.0/inferr/man/infer_os_var_test.Rd | 16 inferr-0.3.0/inferr/man/infer_runs_test.Rd | 28 inferr-0.3.0/inferr/man/infer_ts_ind_ttest.Rd | 16 inferr-0.3.0/inferr/man/infer_ts_paired_ttest.Rd | 18 inferr-0.3.0/inferr/man/infer_ts_prop_test.Rd | 52 inferr-0.3.0/inferr/man/infer_ts_var_test.Rd | 26 inferr-0.3.0/inferr/man/inferr.Rd |only inferr-0.3.0/inferr/tests/testthat/test-anova.R | 47 inferr-0.3.0/inferr/tests/testthat/test-binom.R | 159 inferr-0.3.0/inferr/tests/testthat/test-chisq.R | 76 inferr-0.3.0/inferr/tests/testthat/test-chisqgof.R | 80 inferr-0.3.0/inferr/tests/testthat/test-cochran.R | 48 inferr-0.3.0/inferr/tests/testthat/test-indttest.R | 103 inferr-0.3.0/inferr/tests/testthat/test-levene.R | 132 inferr-0.3.0/inferr/tests/testthat/test-mcnemar.R | 75 inferr-0.3.0/inferr/tests/testthat/test-os-vartest.R | 82 inferr-0.3.0/inferr/tests/testthat/test-paired-test.R | 89 inferr-0.3.0/inferr/tests/testthat/test-prop-test.R | 214 - inferr-0.3.0/inferr/tests/testthat/test-runs.R | 156 inferr-0.3.0/inferr/tests/testthat/test-ttest.R | 90 inferr-0.3.0/inferr/tests/testthat/test-two-prop-test.R | 325 - inferr-0.3.0/inferr/tests/testthat/test-two-var-test.R | 97 inferr-0.3.0/inferr/tests/testthat/test-utils.R | 136 inferr-0.3.0/inferr/vignettes/intro.Rmd | 88 84 files changed, 4084 insertions(+), 4170 deletions(-)
Title: Proximal/Distal Modeling Framework for Pavlovian Conditioning
Phenomena
Description: Fits a model of Pavlovian conditioning phenomena, such as response extinction and spontaneous recovery, and partial reinforcement extinction effects. Competing proximal and distal reward predictions, computed using fast and slow learning rates, combine according to their uncertainties and the recency of information. The resulting mean prediction drives the response rate.
Author: Chloe Bracis
Maintainer: Chloe Bracis <cbracis@uw.edu>
Diff between pdmod versions 1.0 dated 2014-03-28 and 1.0.1 dated 2018-02-13
pdmod-1.0.1/pdmod/DESCRIPTION | 15 ++++++++------- pdmod-1.0.1/pdmod/MD5 | 20 ++++++++------------ pdmod-1.0.1/pdmod/NAMESPACE | 4 +++- pdmod-1.0.1/pdmod/build/vignette.rds |binary pdmod-1.0.1/pdmod/inst/doc/pdmod.pdf |binary pdmod-1.0.1/pdmod/inst/unitTests/Makefile | 2 +- pdmod-1.0.1/pdmod/src/model.c | 2 -- pdmod-1.0.1/pdmod/src/pdmod_init.c |only pdmod-1.0.1/pdmod/tests/runUnitTests.R | 10 +++++----- pdmod-1.0/pdmod/vignettes/figure |only pdmod-1.0/pdmod/vignettes/pdmod-concordance.tex |only pdmod-1.0/pdmod/vignettes/pdmod.synctex.gz |only 12 files changed, 25 insertions(+), 28 deletions(-)
Title: Recursive Partitioning for Structural Equation Models
Description: SEM Trees and SEM Forests -- an extension of model-based decision
trees and forests to Structural Equation Models (SEM). SEM trees hierarchically
split empirical data into homogeneous groups sharing similar data patterns
with respect to a SEM by recursively selecting optimal predictors of these
differences. SEM forests are an extension of SEM trees. They are ensembles of
SEM trees each built on a random sample of the original data. By aggregating
over a forest, we obtain measures of variable importance that are more robust
than measures from single trees.
Author: Andreas M. Brandmaier [aut, cre],
John J. Prindle [aut]
Maintainer: Andreas M. Brandmaier <andy@brandmaier.de>
Diff between semtree versions 0.9.11 dated 2017-12-14 and 0.9.12 dated 2018-02-13
DESCRIPTION | 10 +-- MD5 | 49 +++++++++------- NAMESPACE | 6 ++ NEWS.md | 4 + R/biodiversity.R |only R/computeOOBWeights.R |only R/crossvalidatedSplit.R | 74 ++++++++++++------------- R/diversityMatrix.R | 2 R/evaluate.semforest.R |only R/fairSplit.R | 128 +++++++++++++++++++++++--------------------- R/fitSubmodels.R | 4 - R/getExpectedMean.R | 8 -- R/getModelList.R |only R/getNodeById.R | 12 +++- R/naiveSplit.R | 102 ++++++++++++++++++----------------- R/plot.diversityMatrix.R | 39 +++++++++++-- R/prune.semtree.R | 4 + R/semforest.R | 12 ++-- R/stripTree.R | 18 ++++-- R/subtree.R | 2 R/traverse.R | 8 +- R/traverse.fun.R |only R/treeDivergence.R | 62 ++++++++++++++++++--- R/varimp-convergence-plot.R | 3 - README.md | 2 man/biodiversity.Rd |only man/evaluate.Rd |only tests/invariance.R | 9 ++- tests/vim.R | 7 ++ 29 files changed, 349 insertions(+), 216 deletions(-)
Title: Straightforward 'NetCDF' Metadata
Description: Extract metadata from 'NetCDF' data sources, these can be files, file handles or
servers. This package leverages and extends the lower level functions of the 'RNetCDF' package
providing a consistent set of functions that all return data frames. We introduce named concepts
of 'grid', 'axis' and 'source' which are all meaningful entities without formal definition in the
'NetCDF' library <https://www.unidata.ucar.edu/software/netcdf/>. 'RNetCDF' matches the library
itself with only the named concepts of 'variables', 'dimensions' and 'attributes'. 'ncmeta'
provides a required framework for the in-development 'tidync' project <https://github.com/hypertidy/tidync>.
Author: Michael Sumner [aut, cre],
Tomas Remenyi [ctb],
Ben Raymond [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Diff between ncmeta versions 0.0.1 dated 2017-12-01 and 0.0.2 dated 2018-02-13
DESCRIPTION | 8 +-- MD5 | 44 ++++++++++---------- NEWS.md | 7 +++ R/nc_att.R | 83 ++++++++++++++++++++++---------------- R/nc_axes.R | 2 R/nc_axis.R | 2 R/nc_dim.R | 2 R/nc_dimension.R | 2 R/nc_grid.R | 5 +- R/nc_inq_file.R | 11 +---- R/nc_meta.R | 29 ++++++++++--- R/nc_var.R | 2 R/nc_variable.R | 2 R/utils.R | 1 README.md | 60 ++++++++++++++++----------- inst/extdata/madishydro.nc |only man/nc_inq.Rd | 2 man/nc_meta.Rd | 6 ++ tests/testthat/test-attributes.R | 9 +++- tests/testthat/test-dimension.R | 15 ++---- tests/testthat/test-file-bogeys.R | 19 ++++++-- tests/testthat/test-file.R | 27 ++++-------- tests/testthat/test-tidync.R |only tests/testthat/test-vars.R | 16 ++++++- 24 files changed, 219 insertions(+), 135 deletions(-)
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