Fri, 05 Apr 2019

Package DCEM updated to version 0.0.2 with previous version 0.0.1 dated 2018-09-30

Title: Clustering for Multivariate and Univariate Data Using Expectation Maximization Algorithm
Description: Implements the Expectation Maximisation (EM) algorithm for clustering finite gaussian mixture models for both multivariate and univariate datasets. The initialization is done by randomly selecting the samples from the dataset as the mean of the Gaussian(s). This version improves the parameter initialization on big datasets. The algorithm returns a set of Gaussian parameters-posterior probabilities, mean, co-variance matrices (multivariate data)/standard-deviation (for univariate datasets) and priors. Reference: Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic (2016) <doi:10.1007/s41060-017-0062-1>. This work is partially supported by NCI Grant 1R01CA213466-01.
Author: Sharma Parichit [aut, cre, ctb], Kurban Hasan [aut, ctb], Jenne Mark [aut, ctb], Dalkilic Mehmet [aut]
Maintainer: Sharma Parichit <parishar@iu.edu>

Diff between DCEM versions 0.0.1 dated 2018-09-30 and 0.0.2 dated 2019-04-05

 DESCRIPTION          |   14 ++--
 MD5                  |   34 +++++-----
 NEWS.md              |   10 +++
 R/dcem.R             |   22 ++++++
 R/dcem_cluster_mv.R  |    3 
 R/dcem_cluster_uv.R  |   30 +++++----
 R/dcem_init_mv.R     |   81 +++++++++++++++++++++++-
 R/dcem_init_uv.R     |   77 ++++++++++++++++++++++-
 R/dcem_train.R       |  167 ++++++++++++++++++++++++++++++++-------------------
 R/sanitycheck.R      |   32 ++++-----
 README.md            |    6 -
 man/DCEM.Rd          |   25 +++++++
 man/dcem_train.Rd    |   30 +++------
 man/means_mv.Rd      |    8 +-
 man/means_mv_impr.Rd |only
 man/means_uv.Rd      |    7 +-
 man/means_uv_impr.Rd |only
 man/trim_data.Rd     |   13 +++
 man/validate_data.Rd |    9 +-
 19 files changed, 413 insertions(+), 155 deletions(-)

More information about DCEM at CRAN
Permanent link

Package spatsoc updated to version 0.1.8 with previous version 0.1.6 dated 2019-01-10

Title: Group Animal Relocation Data by Spatial and Temporal Relationship
Description: Detects spatial and temporal groups in GPS relocations. It can be used to convert GPS relocations to gambit-of-the-group format to build proximity-based social networks. In addition, the randomizations function provides data-stream randomization methods suitable for GPS data.
Author: Alec L. Robitaille [aut, cre] (<https://orcid.org/0000-0002-4706-1762>), Quinn Webber [aut] (<https://orcid.org/0000-0002-0434-9360>), Eric Vander Wal [aut] (<https://orcid.org/0000-0002-8534-4317>)
Maintainer: Alec L. Robitaille <robit.alec@gmail.com>

Diff between spatsoc versions 0.1.6 dated 2019-01-10 and 0.1.8 dated 2019-04-05

 DESCRIPTION                     |    8 -
 MD5                             |   35 +++--
 NAMESPACE                       |    2 
 NEWS.md                         |only
 R/edge_dist.R                   |only
 R/edge_nn.R                     |only
 R/group_times.R                 |   23 +--
 R/spatsoc.R                     |    7 +
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 inst/doc/faq.Rmd                |   41 +++++-
 inst/doc/faq.html               |   48 ++++++-
 inst/doc/intro-spatsoc.R        |   42 +++++-
 inst/doc/intro-spatsoc.Rmd      |   66 +++++++---
 inst/doc/intro-spatsoc.html     |  251 +++++++++++++++++++++++++++-------------
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 tests/testthat/test-edge-dist.R |only
 tests/testthat/test-edge-nn.R   |only
 tests/testthat/test-time.R      |   15 ++
 vignettes/faq.Rmd               |   41 +++++-
 vignettes/intro-spatsoc.Rmd     |   66 +++++++---
 22 files changed, 481 insertions(+), 171 deletions(-)

More information about spatsoc at CRAN
Permanent link

Package OrthoPanels updated to version 1.1-2 with previous version 1.1-0 dated 2016-11-10

Title: Dynamic Panel Models with Orthogonal Reparameterization of Fixed Effects
Description: Implements the orthogonal reparameterization approach recommended by Lancaster (2002) to estimate dynamic panel models with fixed effects (and optionally: panel specific intercepts). The approach uses a likelihood-based estimator and produces estimates that are asymptotically unbiased as N goes to infinity, with a T as low as 2.
Author: Davor Cubranic [aut], Mark Pickup [aut, cre], Paul Gustafson [aut], Geoffrey Evans [aut], Jonoska Stojkova Biljana [ctb]
Maintainer: Mark Pickup <mark.pickup@sfu.ca>

Diff between OrthoPanels versions 1.1-0 dated 2016-11-10 and 1.1-2 dated 2019-04-05

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 OrthoPanels-1.1-2/OrthoPanels/DESCRIPTION                        |   25 
 OrthoPanels-1.1-2/OrthoPanels/MD5                                |   42 
 OrthoPanels-1.1-2/OrthoPanels/NEWS.md                            |    2 
 OrthoPanels-1.1-2/OrthoPanels/build/vignette.rds                 |binary
 OrthoPanels-1.1-2/OrthoPanels/inst/doc/intro-opm.html            |  456 +++-
 OrthoPanels-1.1-2/OrthoPanels/man/BES_panel.Rd                   |    1 
 OrthoPanels-1.1-2/OrthoPanels/man/DIC.Rd                         |    1 
 OrthoPanels-1.1-2/OrthoPanels/man/OrthoPanels-package.Rd         |    1 
 OrthoPanels-1.1-2/OrthoPanels/man/abond_panel.Rd                 |    1 
 OrthoPanels-1.1-2/OrthoPanels/man/caterplot.Rd                   |    1 
 OrthoPanels-1.1-2/OrthoPanels/man/confint.opm.Rd                 |    1 
 OrthoPanels-1.1-2/OrthoPanels/man/hist.opm.Rd                    |    1 
 OrthoPanels-1.1-2/OrthoPanels/man/opm.Rd                         |    1 
 OrthoPanels-1.1-2/OrthoPanels/man/p_rho.Rd                       |    1 
 OrthoPanels-1.1-2/OrthoPanels/man/plot.opm.Rd                    |    1 
 OrthoPanels-1.1-2/OrthoPanels/man/quantile.opm.Rd                |    1 
 OrthoPanels-1.1-2/OrthoPanels/tests/testthat/helper-generate.R   |    5 
 OrthoPanels-1.1-2/OrthoPanels/tests/testthat/test-dropouts.R     |  349 +--
 OrthoPanels-1.1-2/OrthoPanels/tests/testthat/test-opm-multivar.R |  710 +++----
 OrthoPanels-1.1-2/OrthoPanels/tests/testthat/test-opm.R          |  932 +++++-----
 OrthoPanels-1.1-2/OrthoPanels/tests/testthat/test-orthopanels.R  |only
 24 files changed, 1405 insertions(+), 1127 deletions(-)

More information about OrthoPanels at CRAN
Permanent link

Package httpuv updated to version 1.5.1 with previous version 1.5.0 dated 2019-03-15

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng, Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Winston Chang [ctb]
Maintainer: Joe Cheng <joe@rstudio.com>

Diff between httpuv versions 1.5.0 dated 2019-03-15 and 1.5.1 dated 2019-04-05

 httpuv-1.5.0/httpuv/src/libuv/include/uv/pthread-barrier.h                |only
 httpuv-1.5.0/httpuv/src/libuv/src/win/req.c                               |only
 httpuv-1.5.1/httpuv/DESCRIPTION                                           |    6 
 httpuv-1.5.1/httpuv/MD5                                                   |  276 +++----
 httpuv-1.5.1/httpuv/NEWS.md                                               |   13 
 httpuv-1.5.1/httpuv/src/filedatasource.h                                  |    2 
 httpuv-1.5.1/httpuv/src/http.cpp                                          |    4 
 httpuv-1.5.1/httpuv/src/http.h                                            |    4 
 httpuv-1.5.1/httpuv/src/httprequest.cpp                                   |    4 
 httpuv-1.5.1/httpuv/src/httpuv.cpp                                        |   20 
 httpuv-1.5.1/httpuv/src/libuv/AUTHORS                                     |   20 
 httpuv-1.5.1/httpuv/src/libuv/CMakeLists.txt                              |   21 
 httpuv-1.5.1/httpuv/src/libuv/ChangeLog                                   |  263 ++++++
 httpuv-1.5.1/httpuv/src/libuv/MAINTAINERS.md                              |    1 
 httpuv-1.5.1/httpuv/src/libuv/Makefile.am                                 |   59 +
 httpuv-1.5.1/httpuv/src/libuv/Makefile.in                                 |  385 +++++++--
 httpuv-1.5.1/httpuv/src/libuv/README.md                                   |    5 
 httpuv-1.5.1/httpuv/src/libuv/configure                                   |  210 +++--
 httpuv-1.5.1/httpuv/src/libuv/configure.ac                                |   27 
 httpuv-1.5.1/httpuv/src/libuv/docs/src/design.rst                         |    2 
 httpuv-1.5.1/httpuv/src/libuv/docs/src/fs.rst                             |    2 
 httpuv-1.5.1/httpuv/src/libuv/docs/src/handle.rst                         |    2 
 httpuv-1.5.1/httpuv/src/libuv/docs/src/loop.rst                           |    2 
 httpuv-1.5.1/httpuv/src/libuv/docs/src/misc.rst                           |   31 
 httpuv-1.5.1/httpuv/src/libuv/docs/src/process.rst                        |   18 
 httpuv-1.5.1/httpuv/src/libuv/docs/src/signal.rst                         |   24 
 httpuv-1.5.1/httpuv/src/libuv/docs/src/threading.rst                      |   29 
 httpuv-1.5.1/httpuv/src/libuv/docs/src/udp.rst                            |   54 +
 httpuv-1.5.1/httpuv/src/libuv/include/uv.h                                |   59 +
 httpuv-1.5.1/httpuv/src/libuv/include/uv/unix.h                           |   33 
 httpuv-1.5.1/httpuv/src/libuv/include/uv/version.h                        |    4 
 httpuv-1.5.1/httpuv/src/libuv/include/uv/win.h                            |    9 
 httpuv-1.5.1/httpuv/src/libuv/src/fs-poll.c                               |   63 +
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 httpuv-1.5.1/httpuv/src/libuv/src/idna.h                                  |only
 httpuv-1.5.1/httpuv/src/libuv/src/inet.c                                  |   11 
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 httpuv-1.5.1/httpuv/src/libuv/src/threadpool.c                            |   18 
 httpuv-1.5.1/httpuv/src/libuv/src/timer.c                                 |    2 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/aix-common.c                       |    9 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/aix.c                              |   64 +
 httpuv-1.5.1/httpuv/src/libuv/src/unix/atomic-ops.h                       |    4 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/bsd-ifaddrs.c                      |   23 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/bsd-proctitle.c                    |only
 httpuv-1.5.1/httpuv/src/libuv/src/unix/core.c                             |  119 ++-
 httpuv-1.5.1/httpuv/src/libuv/src/unix/cygwin.c                           |    2 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/darwin-proctitle.c                 |  141 +--
 httpuv-1.5.1/httpuv/src/libuv/src/unix/freebsd.c                          |   79 --
 httpuv-1.5.1/httpuv/src/libuv/src/unix/fs.c                               |  301 +++++--
 httpuv-1.5.1/httpuv/src/libuv/src/unix/fsevents.c                         |   70 -
 httpuv-1.5.1/httpuv/src/libuv/src/unix/getaddrinfo.c                      |   22 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/internal.h                         |   29 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/kqueue.c                           |   81 +-
 httpuv-1.5.1/httpuv/src/libuv/src/unix/linux-core.c                       |   21 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/linux-inotify.c                    |    6 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/linux-syscalls.c                   |   28 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/linux-syscalls.h                   |   35 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/netbsd.c                           |   71 -
 httpuv-1.5.1/httpuv/src/libuv/src/unix/openbsd.c                          |   69 -
 httpuv-1.5.1/httpuv/src/libuv/src/unix/os390.c                            |   27 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/pipe.c                             |   18 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/posix-poll.c                       |    2 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/proctitle.c                        |    4 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/stream.c                           |  161 +---
 httpuv-1.5.1/httpuv/src/libuv/src/unix/sunos.c                            |   34 
 httpuv-1.5.1/httpuv/src/libuv/src/unix/tcp.c                              |   48 -
 httpuv-1.5.1/httpuv/src/libuv/src/unix/thread.c                           |  179 ++--
 httpuv-1.5.1/httpuv/src/libuv/src/unix/udp.c                              |  127 ++-
 httpuv-1.5.1/httpuv/src/libuv/src/uv-common.c                             |  103 ++
 httpuv-1.5.1/httpuv/src/libuv/src/uv-common.h                             |   10 
 httpuv-1.5.1/httpuv/src/libuv/src/uv-data-getter-setters.c                |   16 
 httpuv-1.5.1/httpuv/src/libuv/src/win/core.c                              |   27 
 httpuv-1.5.1/httpuv/src/libuv/src/win/dl.c                                |   11 
 httpuv-1.5.1/httpuv/src/libuv/src/win/fs-event.c                          |   17 
 httpuv-1.5.1/httpuv/src/libuv/src/win/fs.c                                |   53 +
 httpuv-1.5.1/httpuv/src/libuv/src/win/getaddrinfo.c                       |   14 
 httpuv-1.5.1/httpuv/src/libuv/src/win/handle.c                            |    1 
 httpuv-1.5.1/httpuv/src/libuv/src/win/internal.h                          |    8 
 httpuv-1.5.1/httpuv/src/libuv/src/win/pipe.c                              |   17 
 httpuv-1.5.1/httpuv/src/libuv/src/win/poll.c                              |    4 
 httpuv-1.5.1/httpuv/src/libuv/src/win/process.c                           |   15 
 httpuv-1.5.1/httpuv/src/libuv/src/win/signal.c                            |    2 
 httpuv-1.5.1/httpuv/src/libuv/src/win/tcp.c                               |   44 -
 httpuv-1.5.1/httpuv/src/libuv/src/win/thread.c                            |   35 
 httpuv-1.5.1/httpuv/src/libuv/src/win/tty.c                               |   32 
 httpuv-1.5.1/httpuv/src/libuv/src/win/udp.c                               |  103 ++
 httpuv-1.5.1/httpuv/src/libuv/src/win/util.c                              |  180 ++++
 httpuv-1.5.1/httpuv/src/libuv/src/win/winapi.c                            |    4 
 httpuv-1.5.1/httpuv/src/libuv/src/win/winapi.h                            |    7 
 httpuv-1.5.1/httpuv/src/libuv/src/win/winsock.c                           |   15 
 httpuv-1.5.1/httpuv/src/libuv/test/echo-server.c                          |    4 
 httpuv-1.5.1/httpuv/src/libuv/test/run-tests.c                            |   35 
 httpuv-1.5.1/httpuv/src/libuv/test/runner-unix.c                          |  107 ++
 httpuv-1.5.1/httpuv/src/libuv/test/runner-win.c                           |   14 
 httpuv-1.5.1/httpuv/src/libuv/test/runner-win.h                           |    2 
 httpuv-1.5.1/httpuv/src/libuv/test/runner.c                               |    3 
 httpuv-1.5.1/httpuv/src/libuv/test/task.h                                 |    9 
 httpuv-1.5.1/httpuv/src/libuv/test/test-barrier.c                         |   42 +
 httpuv-1.5.1/httpuv/src/libuv/test/test-close-fd.c                        |    6 
 httpuv-1.5.1/httpuv/src/libuv/test/test-condvar.c                         |    2 
 httpuv-1.5.1/httpuv/src/libuv/test/test-emfile.c                          |   16 
 httpuv-1.5.1/httpuv/src/libuv/test/test-fork.c                            |    3 
 httpuv-1.5.1/httpuv/src/libuv/test/test-fs-copyfile.c                     |    3 
 httpuv-1.5.1/httpuv/src/libuv/test/test-fs-event.c                        |  102 +-
 httpuv-1.5.1/httpuv/src/libuv/test/test-fs-poll.c                         |   74 +
 httpuv-1.5.1/httpuv/src/libuv/test/test-fs.c                              |  389 +++++++++-
 httpuv-1.5.1/httpuv/src/libuv/test/test-gethostname.c                     |    8 
 httpuv-1.5.1/httpuv/src/libuv/test/test-hrtime.c                          |    8 
 httpuv-1.5.1/httpuv/src/libuv/test/test-idna.c                            |only
 httpuv-1.5.1/httpuv/src/libuv/test/test-ip4-addr.c                        |    7 
 httpuv-1.5.1/httpuv/src/libuv/test/test-ip6-addr.c                        |    2 
 httpuv-1.5.1/httpuv/src/libuv/test/test-ipc-heavy-traffic-deadlock-bug.c  |    3 
 httpuv-1.5.1/httpuv/src/libuv/test/test-ipc-send-recv.c                   |    4 
 httpuv-1.5.1/httpuv/src/libuv/test/test-ipc.c                             |  142 ++-
 httpuv-1.5.1/httpuv/src/libuv/test/test-list.h                            |   57 +
 httpuv-1.5.1/httpuv/src/libuv/test/test-loop-handles.c                    |    2 
 httpuv-1.5.1/httpuv/src/libuv/test/test-pipe-close-stdout-read-stdin.c    |    4 
 httpuv-1.5.1/httpuv/src/libuv/test/test-platform-output.c                 |   11 
 httpuv-1.5.1/httpuv/src/libuv/test/test-poll-close-doesnt-corrupt-stack.c |    2 
 httpuv-1.5.1/httpuv/src/libuv/test/test-poll-oob.c                        |    5 
 httpuv-1.5.1/httpuv/src/libuv/test/test-poll.c                            |   12 
 httpuv-1.5.1/httpuv/src/libuv/test/test-process-priority.c                |    4 
 httpuv-1.5.1/httpuv/src/libuv/test/test-process-title-threadsafe.c        |    9 
 httpuv-1.5.1/httpuv/src/libuv/test/test-process-title.c                   |    4 
 httpuv-1.5.1/httpuv/src/libuv/test/test-signal-multiple-loops.c           |    6 
 httpuv-1.5.1/httpuv/src/libuv/test/test-spawn.c                           |   19 
 httpuv-1.5.1/httpuv/src/libuv/test/test-stdio-over-pipes.c                |    1 
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 httpuv-1.5.1/httpuv/src/libuv/test/test-tcp-close-accept.c                |    6 
 httpuv-1.5.1/httpuv/src/libuv/test/test-tcp-oob.c                         |    7 
 httpuv-1.5.1/httpuv/src/libuv/test/test-tcp-write-after-connect.c         |    6 
 httpuv-1.5.1/httpuv/src/libuv/test/test-thread.c                          |   57 +
 httpuv-1.5.1/httpuv/src/libuv/test/test-tty-duplicate-key.c               |only
 httpuv-1.5.1/httpuv/src/libuv/test/test-tty.c                             |   33 
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 httpuv-1.5.1/httpuv/src/libuv/test/test-udp-open.c                        |   81 ++
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 httpuv-1.5.1/httpuv/src/libuv/test/test.gyp                               |    7 
 httpuv-1.5.1/httpuv/src/libuv/uv.gyp                                      |   10 
 httpuv-1.5.1/httpuv/src/staticpath.cpp                                    |   14 
 httpuv-1.5.1/httpuv/src/staticpath.h                                      |    4 
 httpuv-1.5.1/httpuv/src/utils.h                                           |    6 
 httpuv-1.5.1/httpuv/src/webapplication.cpp                                |   15 
 httpuv-1.5.1/httpuv/tools/update_libuv.R                                  |    2 
 145 files changed, 3983 insertions(+), 1561 deletions(-)

More information about httpuv at CRAN
Permanent link

Package pkgnet updated to version 0.4.0 with previous version 0.3.2 dated 2019-01-26

Title: Get Network Representation of an R Package
Description: Tools from the domain of graph theory can be used to quantify the complexity and vulnerability to failure of a software package. That is the guiding philosophy of this package. 'pkgnet' provides tools to analyze the dependencies between functions in an R package and between its imported packages.
Author: Brian Burns [aut, cre], James Lamb [aut], Patrick Boueri [ctb], Jay Qi [aut]
Maintainer: Brian Burns <brian.burns@uptake.com>

Diff between pkgnet versions 0.3.2 dated 2019-01-26 and 0.4.0 dated 2019-04-05

 pkgnet-0.3.2/pkgnet/R/PackageDependencyReporter.R                                               |only
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 pkgnet-0.4.0/pkgnet/DESCRIPTION                                                                 |   13 
 pkgnet-0.4.0/pkgnet/MD5                                                                         |  119 +-
 pkgnet-0.4.0/pkgnet/NAMESPACE                                                                   |   36 
 pkgnet-0.4.0/pkgnet/NEWS.md                                                                     |   34 
 pkgnet-0.4.0/pkgnet/R/AbstractGraphReporter.R                                                   |  426 ++++------
 pkgnet-0.4.0/pkgnet/R/AbstractPackageReporter.R                                                 |  178 ++--
 pkgnet-0.4.0/pkgnet/R/CreatePackageReport.R                                                     |   16 
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 pkgnet-0.4.0/pkgnet/R/pkgnet.R                                                                  |   72 +
 pkgnet-0.4.0/pkgnet/build/vignette.rds                                                          |binary
 pkgnet-0.4.0/pkgnet/inst/doc/pkgnet-intro.R                                                     |   56 -
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Package matrixTests updated to version 0.1.2 with previous version 0.1.1 dated 2019-03-15

Title: Fast Statistical Hypothesis Tests on Rows and Columns of Matrices
Description: Functions to perform fast statistical hypothesis tests on rows/columns of matrices. The main goals are: 1) speed via vectorization, 2) output that is detailed and easy to use, 3) compatibility with tests implemented in R (like those available in the 'stats' package).
Author: Karolis Koncevičius [aut, cre]
Maintainer: Karolis Koncevičius <karolis.koncevicius@gmail.com>

Diff between matrixTests versions 0.1.1 dated 2019-03-15 and 0.1.2 dated 2019-04-05

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Package lagged updated to version 0.2-1 with previous version 0.2-0 dated 2018-08-20

Title: Classes and Methods for Lagged Objects
Description: Provides classes and methods for lagged objects.
Author: Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between lagged versions 0.2-0 dated 2018-08-20 and 0.2-1 dated 2019-04-05

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Package keras updated to version 2.2.4.1 with previous version 2.2.4 dated 2018-11-22

Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
Author: Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], François Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] (<https://orcid.org/0000-0001-5243-233X>), Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigrid Keydana [ctb]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package DHS.rates updated to version 0.7.0 with previous version 0.6.0 dated 2019-01-27

Title: Calculates Demographic Indicators
Description: Calculates key indicators such as fertility rates (Total Fertility Rate (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR)) using Demographic and Health Survey (DHS) women/individual data, and childhood mortality probabilities and rates such as Neonatal Mortality Rate (NNMR), Post-neonatal Mortality Rate (PNNMR), Infant Mortality Rate (IMR), Child Mortality Rate (CMR), and Under-five Mortality Rate (U5MR). In addition to the indicators, the 'DHS.rates' package estimates sampling errors indicators such as Standard Error (SE), Design Effect (DEFT), Relative Standard Error (RSE) and Confidence Interval (CI). The package is developed according to the DHS methodology of calculating the fertility indicators and the childhood mortality rates outlined in the "Guide to DHS Statistics" (Croft, Trevor N., Aileen M. J. Marshall, Courtney K. Allen, et al. 2018, <https://dhsprogram.com/Data/Guide-to-DHS-Statistics/index.cfm>) and the DHS methodology of estimating the sampling errors indicators outlined in the "DHS Sampling and Household Listing Manual" (ICF International 2012, <https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf>).
Author: Mahmoud Elkasabi
Maintainer: Mahmoud Elkasabi <mahmoud.elkasabi@icf.com>

Diff between DHS.rates versions 0.6.0 dated 2019-01-27 and 0.7.0 dated 2019-04-05

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Package spdep updated to version 1.1-2 with previous version 1.0-2 dated 2019-02-13

Title: Spatial Dependence: Weighting Schemes, Statistics and Models
Description: A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>, 'saddlepoint' approximations ('Tiefelsdorf' 2002) <doi:10.1111/j.1538-4632.2002.tb01084.x> and exact tests for global and local 'Moran's I' ('Bivand et al.' 2009) <doi:10.1016/j.csda.2008.07.021> and 'LOSH' local indicators of spatial heteroscedasticity ('Ord' and 'Getis') <doi:10.1007/s00168-011-0492-y>. The implementation of most of the measures is described in 'Bivand' and 'Wong' (2018) <doi:10.1007/s11749-018-0599-x>. 'spdep' >= 1.1-1 corresponds to 'spatialreg' >= 1.1-1, in which the model fitting functions are deprecated and pass through to 'spatialreg', but will mask those in 'spatialreg'. From versions 1.2-1, the functions will be made defunct in 'spdep'. For now 'spatialreg' only has functions from 'spdep', where they are shown as deprecated. 'spatialreg' only loads the namespace of 'spdep'; if you attach 'spdep', the same functions in the other package will be masked. Some feed through adequately, others do not.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Micah Altman [ctb], Luc Anselin [ctb], Renato Assunção [ctb], Olaf Berke [ctb], Andrew Bernat [ctb], Guillaume Blanchet [ctb], Eric Blankmeyer [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Stéphane Dray [ctb], Virgilio Gómez-Rubio [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], Elias Krainski [ctb], Pierre Legendre [ctb], Nicholas Lewin-Koh [ctb], Angela Li [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Michael Tiefelsdorf [ctb], René Westerholt [ctb], Danlin Yu [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package FlowScreen updated to version 1.2.6 with previous version 1.2.5 dated 2018-05-07

Title: Daily Streamflow Trend and Change Point Screening
Description: Screens daily streamflow time series for temporal trends and change-points. This package has been primarily developed for assessing the quality of daily streamflow time series. It also contains tools for plotting and calculating many different streamflow metrics. The package can be used to produce summary screening plots showing change-points and significant temporal trends for high flow, low flow, and/or baseflow statistics, or it can be used to perform more detailed hydrological time series analyses. The package was designed for screening daily streamflow time series from Water Survey Canada and the United States Geological Survey but will also work with streamflow time series from many other agencies.
Author: Jennifer Dierauer [aut, cre], Paul Whitfield [aut]
Maintainer: Jennifer Dierauer <jen.r.brand@gmail.com>

Diff between FlowScreen versions 1.2.5 dated 2018-05-07 and 1.2.6 dated 2019-04-05

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Package semPlot updated to version 1.1.1 with previous version 1.1 dated 2017-03-27

Title: Path Diagrams and Visual Analysis of Various SEM Packages' Output
Description: Path diagrams and visual analysis of various SEM packages' output.
Author: Sacha Epskamp [aut, cre], Simon Stuber [ctb], Jason Nak [ctb], Myrthe Veenman [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between semPlot versions 1.1 dated 2017-03-27 and 1.1.1 dated 2019-04-05

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Package onewaytests updated to version 2.1 with previous version 2.0 dated 2019-02-04

Title: One-Way Tests in Independent Groups Designs
Description: Performs one-way tests in independent groups designs, pairwise comparisons, graphical approaches, assesses variance homogeneity and normality of data in each group via tests and plots (Dag et al., 2018, <https://journal.r-project.org/archive/2018/RJ-2018-022/RJ-2018-022.pdf>).
Author: Osman Dag [aut, cre], Anil Dolgun [aut], N. Meric Konar [aut]
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

Diff between onewaytests versions 2.0 dated 2019-02-04 and 2.1 dated 2019-04-05

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New package RadData with initial version 1.0.0
Package: RadData
Version: 1.0.0
Type: Package
Title: Nuclear Decay Data for Dosimetric Calculations - ICRP 107
Authors@R: c(person("Mark", "Hogue", role = c("aut", "cre"), email = "mark.hogue.chp@gmail.com"), person("KF", "Eckerman", role = c("dtc", "cph")), person("A", "Endo", role = c("dtc", "cph")))
Description: Nuclear Decay Data for Dosimetric Calculations from the International Commission on Radiological Protection from ICRP Publication 107. Ann. ICRP 38 (3). Eckerman, Keith and Endo, Akira 2008 <doi:10.1016/j.icrp.2008.10.004> <http://www.icrp.org/publication.asp?id=ICRP%20Publication%20107>. This is a database of the physical data needed in calculations of radionuclide-specific protection and operational quantities. The data is prescribed by the ICRP, the international authority on radiation dose standards, for estimating dose from the intake of or exposure to radionuclides in the workplace and the environment. The database contains information on the half-lives, decay chains, and yields and energies of radiations emitted in nuclear transformations of 1252 radionuclides of 97 elements.
License: GPL-2
Copyright: Source data from ICRP 107 copyright 2008 Eckerman and Endo. See the file license.txt file for details.
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.3.0)
Suggests: radsafer
URL: https://github.com/markhogue/RadData
BugReports: https://github.com/markhogue/RadData/issues
NeedsCompilation: no
Packaged: 2019-04-05 03:01:07 UTC; mark
Author: Mark Hogue [aut, cre], KF Eckerman [dtc, cph], A Endo [dtc, cph]
Maintainer: Mark Hogue <mark.hogue.chp@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-05 13:12:45 UTC

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New package DataSpaceR with initial version 0.6.3
Package: DataSpaceR
Type: Package
Title: Interface to 'the CAVD DataSpace'
Version: 0.6.3
Authors@R: c(person("Ju Yeong", "Kim", email = "jkim2345@fredhutch.org", role = c("aut", "cre", "cph")), person("Sean", "Hughes", comment = "Sean reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/261>", role = "rev"))
Description: Provides a convenient API interface to access immunological data within 'the CAVD DataSpace'(<https://dataspace.cavd.org>), a data sharing and discovery tool that facilitates exploration of HIV immunological data from pre-clinical and clinical HIV vaccine studies.
URL: https://github.com/ropensci/DataSpaceR
BugReports: https://github.com/ropensci/DataSpaceR/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: utils, R6, Rlabkey (>= 2.2.0), curl, httr, assertthat, digest, jsonlite, data.table
Suggests: testthat, covr, knitr, pryr
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-04 05:03:44 UTC; jkim
Author: Ju Yeong Kim [aut, cre, cph], Sean Hughes [rev] (Sean reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/261>)
Maintainer: Ju Yeong Kim <jkim2345@fredhutch.org>
Repository: CRAN
Date/Publication: 2019-04-05 13:22:46 UTC

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New package CLONETv2 with initial version 2.0
Package: CLONETv2
Type: Package
Title: Clonality Estimates in Tumor
Version: 2.0
Authors@R: c(person("Davide", "Prandi", email = "davide.prandi@unitn.it",role = c("aut", "cre")), person("Alessandro", "Romanel", email = "alessandro.romanel@unitn.it",role = c("ctb")), person("Tarcisio", "Fedrizzi", email = "tarcisio.fedrizzi@unitn.it",role = c("ctb")))
Author: Davide Prandi [aut, cre], Alessandro Romanel [ctb], Tarcisio Fedrizzi [ctb]
Maintainer: Davide Prandi <davide.prandi@unitn.it>
Description: Analyze data from next-generation sequencing experiments on genomic samples. 'CLONETv2' offers a set of functions to compute allele specific copy number and clonality from segmented data and SNPs position pileup. The package has also calculated the clonality of single nucleotide variants given read counts at mutated positions. The package has been developed at the laboratory of Computational and Functional Oncology, Department of CIBIO, University of Trento (Italy), under the supervision of prof Francesca Demichelis. References: Prandi et al. (2014) <doi:10.1186/s13059-014-0439-6>; Carreira et al. (2014) <doi:10.1126/scitranslmed.3009448>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.1)
Imports: parallel, sets, ggplot2, ggrepel, arules
NeedsCompilation: no
Packaged: 2019-04-05 08:53:21 UTC; prandi
Repository: CRAN
Date/Publication: 2019-04-05 13:12:49 UTC

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Package tensorflow updated to version 1.13.1 with previous version 1.10 dated 2018-11-19

Title: R Interface to 'TensorFlow'
Description: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Author: Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Nick Golding [ctb, cph], Tomasz Kalinowski [ctb, cph], Google Inc. [ctb, cph] (Examples and Tutorials)
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between tensorflow versions 1.10 dated 2018-11-19 and 1.13.1 dated 2019-04-05

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Package SSDforR updated to version 1.5.4 with previous version 1.5.3 dated 2019-03-17

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

Diff between SSDforR versions 1.5.3 dated 2019-03-17 and 1.5.4 dated 2019-04-05

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New package rfVarImpOOB with initial version 1.0
Package: rfVarImpOOB
Title: Unbiased Variable Importance for Random Forests
Version: 1.0
Date: 2019-03-22
Depends: R (>= 3.2.2), stats, randomForest
Imports: ggplot2, binaryLogic, dplyr,titanic,prob,ggpubr,magrittr
Suggests: knitr,rmarkdown
Author: Markus Loecher <Markus.Loecher@gmail.com>
Maintainer: Markus Loecher <Markus.Loecher@gmail.com>
Description: Computes a novel variable importance for random forests: Impurity reduction importance scores for out-of-bag (OOB) data complementing the existing inbag Gini importance, see also Strobl et al (2007) <doi:10.1186/1471-2105-8-25>, Strobl et al (2007) <doi:10.1016/j.csda.2006.12.030> and Breiman (2001) <DOI:10.1023/A:1010933404324>. The Gini impurities for inbag and OOB data are combined in three different ways, after which the information gain is computed at each split. This gain is aggregated for each split variable in a tree and averaged across trees.
License: GPL (>= 2)
Repository: CRAN
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-05 12:30:07 UTC; loecherm
Date/Publication: 2019-04-05 12:50:06 UTC

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New package geonetwork with initial version 0.3
Package: geonetwork
Type: Package
Title: Geographic Networks
Version: 0.3
Date: 2019-03-22
Encoding: UTF-8
Authors@R: person("Facundo", "Muñoz", email = "facundo.munoz@cirad.fr", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5061-4241"))
Description: Provides classes and methods for handling networks or graphs whose nodes are geographical (i.e. locations in the globe). The functionality includes the creation of objects of class geonetwork as a graph with node coordinates, the computation of network measures, the support of spatial operations (projection to different Coordinate Reference Systems, handling of bounding boxes, etc.) and the plotting of the geonetwork object combined with supplementary cartography for spatial representation.
Depends: R (>= 3.2)
License: GPL-3 | file LICENSE
Language: en-GB
LazyData: true
Imports: geosphere, igraph, methods, rgdal, sp, sf
Suggests: devtools, ggmap, knitr, maps, mapview, rmarkdown, roxygen2, spData, testthat
RoxygenNote: 6.1.1
URL: https://github.com/Cirad-ASTRE/geonetwork
BugReports: https://github.com/Cirad-ASTRE/geonetwork/issues
NeedsCompilation: no
Packaged: 2019-04-05 12:00:46 UTC; facu
Author: Facundo Muñoz [aut, cre] (<https://orcid.org/0000-0002-5061-4241>)
Maintainer: Facundo Muñoz <facundo.munoz@cirad.fr>
Repository: CRAN
Date/Publication: 2019-04-05 12:32:45 UTC

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New package Recon with initial version 0.1.0.0
Package: Recon
Title: Computational Tools for Economics
Version: 0.1.0.0
Authors@R: c(person(given = "Pedro", family = "Cavalcante Oliveira", email = "pedrocolrj@gmail.com", role = c("aut", "cre")), person(given = "Diego", family = "S. Cardoso", email = "mail@diegoscardoso.com", role = "aut"), person(given = "Marcelo", family = "Gelati", role = "aut", email = "marcelogelati@gmail.com"))
Description: Implements solutions to canonical models of Economics such as Monopoly Profit Maximization, Cournot's Duopoly, Solow (1956, <doi:10.2307/1884513>) growth model and Mankiw, Romer and Weil (1992, <doi:10.2307/2118477>) growth model.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: rootSolve, stats
Suggests: plot3D, dplyr, ggplot2
NeedsCompilation: no
Packaged: 2019-04-04 16:41:06 UTC; pedro
Author: Pedro Cavalcante Oliveira [aut, cre], Diego S. Cardoso [aut], Marcelo Gelati [aut]
Maintainer: Pedro Cavalcante Oliveira <pedrocolrj@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-05 11:02:49 UTC

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New package geoviz with initial version 0.2.0
Package: geoviz
Type: Package
Title: Elevation and GPS Data Visualisation
Version: 0.2.0
Author: Neil Charles
Maintainer: Neil Charles <neil.d.charles@gmail.com>
Description: Simpler processing of digital elevation model and GPS trace data for use with the 'rayshader' package.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Language: en-GB
Imports: dplyr, magrittr, tidyr, readr, tibble, purrr, stringr, raster, chron, sp, sf, rgeos, glue, png, abind, rgl, slippymath, curl, progress, methods, rlang, ggplot2, rgdal
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-04 19:33:17 UTC; Neil.Charles
Repository: CRAN
Date/Publication: 2019-04-05 11:12:46 UTC

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New package cplots with initial version 0.4-0
Package: cplots
Title: Plots for Circular Data
Version: 0.4-0
Date: 2019-04-05
Author: Danli Xu <dxu452@aucklanduni.ac.nz>, Yong Wang <yongwang@auckland.ac.nz>
Maintainer: Yong Wang <yongwang@auckland.ac.nz>
Imports: circular, grDevices, graphics, stats
Description: Provides functions to produce some circular plots for circular data, in a height- or area-proportional manner. They include barplots, smooth density plots, stacked dot plots, histograms, multi-class stacked smooth density plots, and multi-class stacked histograms. The new methodology for general area-proportional circular visualization is described in an article submitted (after revision) to Journal of Computational and Graphical Statistics.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 6.1.1
Packaged: 2019-04-05 01:41:26 UTC; yong
Repository: CRAN
Date/Publication: 2019-04-05 11:22:46 UTC

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New package argo with initial version 2.0.0
Package: argo
Type: Package
Title: Accurate Estimation of Influenza Epidemics using Google Search Data
Version: 2.0.0
Date: 2019-03-16
Author: Shaoyang Ning, Shihao Yang, S. C. Kou
Maintainer: Shihao Yang <shihaoyang@g.harvard.edu>
Description: Augmented Regression with General Online data (ARGO) for accurate estimation of influenza epidemics in United States on both national level and regional level. It replicates the method introduced in paper Yang, S., Santillana, M. and Kou, S.C. (2015) <doi:10.1073/pnas.1515373112> and Ning, S., Yang, S. and Kou, S.C. (2019) <doi:10.1038/s41598-019-41559-6>.
License: GPL-2
LazyData: TRUE
Imports: xts, glmnet, zoo, XML, xtable, Matrix, boot
Suggests: testthat
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-04 17:03:57 UTC; shihaoyang
Repository: CRAN
Date/Publication: 2019-04-05 11:02:45 UTC

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Package svd updated to version 0.4.3 with previous version 0.4.2 dated 2019-03-07

Title: Interfaces to Various State-of-Art SVD and Eigensolvers
Description: R bindings to SVD and eigensolvers (PROPACK, nuTRLan).
Author: Anton Korobeynikov [aut, cre], Rasmus Munk Larsen [ctb, cph], Lawrence Berkeley National Laboratory [ctb, cph]
Maintainer: Anton Korobeynikov <anton@korobeynikov.info>

Diff between svd versions 0.4.2 dated 2019-03-07 and 0.4.3 dated 2019-04-05

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Package spsurvey updated to version 4.0.0 with previous version 3.4 dated 2018-06-13

Title: Spatial Survey Design and Analysis
Description: These functions provide procedures for selecting sites for spatial surveys using spatially balanced algorithms applied to discrete points, linear networks, or polygons. The probability survey designs available include independent random samples, stratified random samples, and unequal probability random samples (categorical or probability proportional to size). Design-based estimation based on the results from surveys is available for estimating totals, means, quantiles, CDFs, and linear models. The analyses rely on package survey for most results. Variance estimation options include a local neighborhood variance estimator that is appropriate for spatially-balanced survey designs. A reference for the survey design portion of the package is: D. L. Stevens, Jr. and A. R. Olsen (2004), "Spatially-balanced sampling of natural resources.", Journal of the American Statistical Association 99(465): 262-278, <DOI:10.1198/016214504000000250>. Additional helpful references for this package are A. R. Olsen, T. M. Kincaid, and Q. Payton (2012) and T. M. Kincaid and A. R. Olsen (2012), both of which are chapters in the book "Design and Analysis of Long-Term Ecological Monitoring Studies" (R. A. Gitzen, J. J. Millspaugh, A. B. Cooper, and D. S. Licht (eds.), Cambridge University Press, New York, <Online ISBN:9781139022422>).
Author: Tom Kincaid [aut, cre], Tony Olsen [aut], Don Stevens [ctb], Christian Platt [ctb], Denis White [ctb], Richard Remington [ctb]
Maintainer: Tom Kincaid <Kincaid.Tom@epa.gov>

Diff between spsurvey versions 3.4 dated 2018-06-13 and 4.0.0 dated 2019-04-05

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 spsurvey-4.0.0/spsurvey/R/aaa.R                         |only
 spsurvey-4.0.0/spsurvey/R/adjwgt.R                      |   73 -
 spsurvey-4.0.0/spsurvey/R/albersgeod.R                  |   75 -
 spsurvey-4.0.0/spsurvey/R/ash1.wgt.R                    |   95 +-
 spsurvey-4.0.0/spsurvey/R/attrisk.analysis.R            |  318 +++---
 spsurvey-4.0.0/spsurvey/R/attrisk.est.R                 |only
 spsurvey-4.0.0/spsurvey/R/attrisk.var.R                 |  225 ++--
 spsurvey-4.0.0/spsurvey/R/cat.analysis.R                |  404 ++++----
 spsurvey-4.0.0/spsurvey/R/category.est.R                |  345 ++++---
 spsurvey-4.0.0/spsurvey/R/catvar.prop.R                 |  195 ++--
 spsurvey-4.0.0/spsurvey/R/catvar.size.R                 |  196 ++--
 spsurvey-4.0.0/spsurvey/R/cdf.decon.R                   |  413 ++++----
 spsurvey-4.0.0/spsurvey/R/cdf.est.R                     |  390 ++++----
 spsurvey-4.0.0/spsurvey/R/cdf.nresp.R                   |   66 -
 spsurvey-4.0.0/spsurvey/R/cdf.plot.R                    |  192 ++--
 spsurvey-4.0.0/spsurvey/R/cdf.prop.R                    |   71 -
 spsurvey-4.0.0/spsurvey/R/cdf.size.prop.R               |   78 -
 spsurvey-4.0.0/spsurvey/R/cdf.size.total.R              |  107 +-
 spsurvey-4.0.0/spsurvey/R/cdf.test.R                    |  547 ++++++-----
 spsurvey-4.0.0/spsurvey/R/cdf.test.prop.R               |   69 -
 spsurvey-4.0.0/spsurvey/R/cdf.test.size.prop.R          |   79 -
 spsurvey-4.0.0/spsurvey/R/cdf.total.R                   |   98 +-
 spsurvey-4.0.0/spsurvey/R/cdfvar.prop.R                 |  205 ++--
 spsurvey-4.0.0/spsurvey/R/cdfvar.size.prop.R            |  218 ++--
 spsurvey-4.0.0/spsurvey/R/cdfvar.size.total.R           |  233 ++--
 spsurvey-4.0.0/spsurvey/R/cdfvar.test.R                 |  254 +++--
 spsurvey-4.0.0/spsurvey/R/cdfvar.total.R                |  224 ++--
 spsurvey-4.0.0/spsurvey/R/cell.wt.R                     |   40 
 spsurvey-4.0.0/spsurvey/R/change.analysis.R             |  457 +++++----
 spsurvey-4.0.0/spsurvey/R/change.est.R                  |  538 ++++++-----
 spsurvey-4.0.0/spsurvey/R/changevar.mean.R              |  226 ++--
 spsurvey-4.0.0/spsurvey/R/changevar.prop.R              |  240 ++---
 spsurvey-4.0.0/spsurvey/R/changevar.size.R              |  240 ++---
 spsurvey-4.0.0/spsurvey/R/cont.analysis.R               |  499 +++++-----
 spsurvey-4.0.0/spsurvey/R/cont.cdfplot.R                |  177 ++-
 spsurvey-4.0.0/spsurvey/R/cont.cdftest.R                |  431 +++++----
 spsurvey-4.0.0/spsurvey/R/cov.panel.dsgn.R              |only
 spsurvey-4.0.0/spsurvey/R/dcdf.prop.R                   |   72 -
 spsurvey-4.0.0/spsurvey/R/dcdf.size.prop.R              |  154 +--
 spsurvey-4.0.0/spsurvey/R/dcdf.size.total.R             |  194 ++--
 spsurvey-4.0.0/spsurvey/R/dcdf.total.R                  |   99 +-
 spsurvey-4.0.0/spsurvey/R/dcdfvar.prop.R                |  634 +++++++------
 spsurvey-4.0.0/spsurvey/R/dcdfvar.size.prop.R           |  650 +++++++------
 spsurvey-4.0.0/spsurvey/R/dcdfvar.size.total.R          |  754 ++++++++--------
 spsurvey-4.0.0/spsurvey/R/dcdfvar.total.R               |  740 ++++++++-------
 spsurvey-4.0.0/spsurvey/R/decon_data.R                  |only
 spsurvey-4.0.0/spsurvey/R/dframe.check.R                |   62 -
 spsurvey-4.0.0/spsurvey/R/dsgnsum.R                     |  101 +-
 spsurvey-4.0.0/spsurvey/R/examine.R                     |   71 -
 spsurvey-4.0.0/spsurvey/R/framesum.R                    |  200 ++--
 spsurvey-4.0.0/spsurvey/R/geodalbers.R                  |  170 +--
 spsurvey-4.0.0/spsurvey/R/grts.R                        |  351 ++++---
 spsurvey-4.0.0/spsurvey/R/grtsarea.R                    |  120 +-
 spsurvey-4.0.0/spsurvey/R/grtslin.R                     |  112 +-
 spsurvey-4.0.0/spsurvey/R/grtspts.R                     |  120 +-
 spsurvey-4.0.0/spsurvey/R/input.check.R                 |  176 ++-
 spsurvey-4.0.0/spsurvey/R/input.format.R                |   56 -
 spsurvey-4.0.0/spsurvey/R/interp.axis.R                 |   44 
 spsurvey-4.0.0/spsurvey/R/interp.cdf.R                  |   42 
 spsurvey-4.0.0/spsurvey/R/irs.R                         |  302 +++---
 spsurvey-4.0.0/spsurvey/R/irsarea.R                     |   73 -
 spsurvey-4.0.0/spsurvey/R/irslin.R                      |   51 -
 spsurvey-4.0.0/spsurvey/R/irspts.R                      |   37 
 spsurvey-4.0.0/spsurvey/R/isotonic.R                    |  107 +-
 spsurvey-4.0.0/spsurvey/R/localmean.cov.R               |  128 +-
 spsurvey-4.0.0/spsurvey/R/localmean.df.R                |   35 
 spsurvey-4.0.0/spsurvey/R/localmean.var.R               |   72 -
 spsurvey-4.0.0/spsurvey/R/localmean.weight.R            |  167 +--
 spsurvey-4.0.0/spsurvey/R/localmean.weight2.R           |  129 +-
 spsurvey-4.0.0/spsurvey/R/marinus.R                     |   89 -
 spsurvey-4.0.0/spsurvey/R/mdmarea.R                     |   32 
 spsurvey-4.0.0/spsurvey/R/mdmlin.R                      |   30 
 spsurvey-4.0.0/spsurvey/R/mdmpts.R                      |   27 
 spsurvey-4.0.0/spsurvey/R/panel_summary.R               |only
 spsurvey-4.0.0/spsurvey/R/plot_powerpaneldesign.R       |only
 spsurvey-4.0.0/spsurvey/R/power.dsgn.R                  |only
 spsurvey-4.0.0/spsurvey/R/read.dbf.R                    |   46 
 spsurvey-4.0.0/spsurvey/R/read.sas.R                    |   79 -
 spsurvey-4.0.0/spsurvey/R/read.shape.R                  |   79 -
 spsurvey-4.0.0/spsurvey/R/relrisk.analysis.R            |  327 +++---
 spsurvey-4.0.0/spsurvey/R/relrisk.est.R                 |  451 +++++----
 spsurvey-4.0.0/spsurvey/R/relrisk.var.R                 |  228 ++--
 spsurvey-4.0.0/spsurvey/R/revisit_bibd.R                |only
 spsurvey-4.0.0/spsurvey/R/revisit_dsgn.R                |only
 spsurvey-4.0.0/spsurvey/R/revisit_rand.R                |only
 spsurvey-4.0.0/spsurvey/R/sbcframe.R                    |   97 +-
 spsurvey-4.0.0/spsurvey/R/sbcsamp.R                     |   64 -
 spsurvey-4.0.0/spsurvey/R/selectframe.R                 |   39 
 spsurvey-4.0.0/spsurvey/R/selectpts.R                   |   41 
 spsurvey-4.0.0/spsurvey/R/selectrecordID.R              |   49 -
 spsurvey-4.0.0/spsurvey/R/shape2spList.R                |   54 -
 spsurvey-4.0.0/spsurvey/R/simex.R                       |  191 ++--
 spsurvey-4.0.0/spsurvey/R/sorted.R                      |   59 -
 spsurvey-4.0.0/spsurvey/R/sp2shape.R                    |   56 -
 spsurvey-4.0.0/spsurvey/R/spbalance.R                   |  170 ++-
 spsurvey-4.0.0/spsurvey/R/spsurvey.R                    |only
 spsurvey-4.0.0/spsurvey/R/spsurvey.analysis.R           |  577 ++++++------
 spsurvey-4.0.0/spsurvey/R/total.est.R                   |  314 +++---
 spsurvey-4.0.0/spsurvey/R/total.var.R                   |  202 ++--
 spsurvey-4.0.0/spsurvey/R/uniqueID.R                    |   27 
 spsurvey-4.0.0/spsurvey/R/vecprint.R                    |   55 -
 spsurvey-4.0.0/spsurvey/R/warnprnt.R                    |   35 
 spsurvey-4.0.0/spsurvey/R/wnas.R                        |   50 -
 spsurvey-4.0.0/spsurvey/R/write.dbf.R                   |   39 
 spsurvey-4.0.0/spsurvey/R/write.object.R                |  103 +-
 spsurvey-4.0.0/spsurvey/build/vignette.rds              |binary
 spsurvey-4.0.0/spsurvey/data/FL_lakes.rda               |binary
 spsurvey-4.0.0/spsurvey/data/IN_streams.rda             |binary
 spsurvey-4.0.0/spsurvey/data/Luck_Ash_streams.rda       |binary
 spsurvey-4.0.0/spsurvey/data/NE_lakes.rda               |binary
 spsurvey-4.0.0/spsurvey/data/NLA_2007.rda               |binary
 spsurvey-4.0.0/spsurvey/data/NRSA_2009.rda              |binary
 spsurvey-4.0.0/spsurvey/data/SC_estuaries.rda           |binary
 spsurvey-4.0.0/spsurvey/data/UT_ecoregions.rda          |binary
 spsurvey-4.0.0/spsurvey/data/decon_data.rda             |binary
 spsurvey-4.0.0/spsurvey/inst/CITATION                   |    8 
 spsurvey-4.0.0/spsurvey/inst/NEWS.Rd                    |   27 
 spsurvey-4.0.0/spsurvey/inst/doc/Area_Analysis.R        |    3 
 spsurvey-4.0.0/spsurvey/inst/doc/Area_Analysis.Rnw      |   12 
 spsurvey-4.0.0/spsurvey/inst/doc/Area_Analysis.pdf      |binary
 spsurvey-4.0.0/spsurvey/inst/doc/Area_Design.R          |    1 
 spsurvey-4.0.0/spsurvey/inst/doc/Area_Design.Rnw        |    5 
 spsurvey-4.0.0/spsurvey/inst/doc/Area_Design.pdf        |binary
 spsurvey-4.0.0/spsurvey/inst/doc/CDF_Analysis.R         |    1 
 spsurvey-4.0.0/spsurvey/inst/doc/CDF_Analysis.Rnw       |    9 
 spsurvey-4.0.0/spsurvey/inst/doc/CDF_Analysis.pdf       |binary
 spsurvey-4.0.0/spsurvey/inst/doc/CDF_Deconvolution.R    |    1 
 spsurvey-4.0.0/spsurvey/inst/doc/CDF_Deconvolution.Rnw  |    3 
 spsurvey-4.0.0/spsurvey/inst/doc/CDF_Deconvolution.pdf  |binary
 spsurvey-4.0.0/spsurvey/inst/doc/CHANGES.pdf            |binary
 spsurvey-4.0.0/spsurvey/inst/doc/Change_Analysis.R      |    1 
 spsurvey-4.0.0/spsurvey/inst/doc/Change_Analysis.Rnw    |    5 
 spsurvey-4.0.0/spsurvey/inst/doc/Change_Analysis.pdf    |binary
 spsurvey-4.0.0/spsurvey/inst/doc/Finite_Analysis.R      |    1 
 spsurvey-4.0.0/spsurvey/inst/doc/Finite_Analysis.Rnw    |    5 
 spsurvey-4.0.0/spsurvey/inst/doc/Finite_Analysis.pdf    |binary
 spsurvey-4.0.0/spsurvey/inst/doc/Finite_Design.R        |    1 
 spsurvey-4.0.0/spsurvey/inst/doc/Finite_Design.Rnw      |    3 
 spsurvey-4.0.0/spsurvey/inst/doc/Finite_Design.pdf      |binary
 spsurvey-4.0.0/spsurvey/inst/doc/Linear_Analysis.R      |    1 
 spsurvey-4.0.0/spsurvey/inst/doc/Linear_Analysis.Rnw    |    5 
 spsurvey-4.0.0/spsurvey/inst/doc/Linear_Analysis.pdf    |binary
 spsurvey-4.0.0/spsurvey/inst/doc/Linear_Design.R        |    1 
 spsurvey-4.0.0/spsurvey/inst/doc/Linear_Design.Rnw      |    3 
 spsurvey-4.0.0/spsurvey/inst/doc/Linear_Design.pdf      |binary
 spsurvey-4.0.0/spsurvey/inst/doc/README.pdf             |binary
 spsurvey-4.0.0/spsurvey/inst/doc/Risk_Analysis.R        |    1 
 spsurvey-4.0.0/spsurvey/inst/doc/Risk_Analysis.Rnw      |    3 
 spsurvey-4.0.0/spsurvey/inst/doc/Risk_Analysis.pdf      |binary
 spsurvey-4.0.0/spsurvey/inst/doc/UserGuide.pdf          |binary
 spsurvey-4.0.0/spsurvey/man/FL_lakes.Rd                 |   47 
 spsurvey-4.0.0/spsurvey/man/IN_streams.Rd               |   49 -
 spsurvey-4.0.0/spsurvey/man/Luck_Ash_streams.Rd         |   35 
 spsurvey-4.0.0/spsurvey/man/NE_lakes.Rd                 |   37 
 spsurvey-4.0.0/spsurvey/man/NLA_2007.Rd                 |   64 -
 spsurvey-4.0.0/spsurvey/man/NRSA_2009.Rd                |   63 -
 spsurvey-4.0.0/spsurvey/man/SC_estuaries.Rd             |   45 
 spsurvey-4.0.0/spsurvey/man/SpatialDesign-class.Rd      |  158 ++-
 spsurvey-4.0.0/spsurvey/man/UT_ecoregions.Rd            |   34 
 spsurvey-4.0.0/spsurvey/man/adjwgt.Rd                   |   50 -
 spsurvey-4.0.0/spsurvey/man/albersgeod.Rd               |   50 -
 spsurvey-4.0.0/spsurvey/man/ash1.wgt.Rd                 |   63 -
 spsurvey-4.0.0/spsurvey/man/attrisk.analysis.Rd         |  284 +++---
 spsurvey-4.0.0/spsurvey/man/attrisk.est.Rd              |  307 +++---
 spsurvey-4.0.0/spsurvey/man/attrisk.var.Rd              |only
 spsurvey-4.0.0/spsurvey/man/cat.analysis.Rd             |  368 ++++---
 spsurvey-4.0.0/spsurvey/man/category.est.Rd             |  336 +++----
 spsurvey-4.0.0/spsurvey/man/catvar.prop.Rd              |only
 spsurvey-4.0.0/spsurvey/man/catvar.size.Rd              |only
 spsurvey-4.0.0/spsurvey/man/cdf.decon.Rd                |  412 ++++----
 spsurvey-4.0.0/spsurvey/man/cdf.est.Rd                  |  381 ++++----
 spsurvey-4.0.0/spsurvey/man/cdf.nresp.Rd                |only
 spsurvey-4.0.0/spsurvey/man/cdf.plot.Rd                 |  161 +--
 spsurvey-4.0.0/spsurvey/man/cdf.prop.Rd                 |only
 spsurvey-4.0.0/spsurvey/man/cdf.size.prop.Rd            |only
 spsurvey-4.0.0/spsurvey/man/cdf.size.total.Rd           |only
 spsurvey-4.0.0/spsurvey/man/cdf.test.Rd                 |  502 ++++++----
 spsurvey-4.0.0/spsurvey/man/cdf.test.prop.Rd            |only
 spsurvey-4.0.0/spsurvey/man/cdf.test.size.prop.Rd       |only
 spsurvey-4.0.0/spsurvey/man/cdf.total.Rd                |only
 spsurvey-4.0.0/spsurvey/man/cdfvar.prop.Rd              |only
 spsurvey-4.0.0/spsurvey/man/cdfvar.size.prop.Rd         |only
 spsurvey-4.0.0/spsurvey/man/cdfvar.size.total.Rd        |only
 spsurvey-4.0.0/spsurvey/man/cdfvar.test.Rd              |only
 spsurvey-4.0.0/spsurvey/man/cdfvar.total.Rd             |only
 spsurvey-4.0.0/spsurvey/man/cell.wt.Rd                  |only
 spsurvey-4.0.0/spsurvey/man/change.analysis.Rd          |  444 +++++----
 spsurvey-4.0.0/spsurvey/man/change.est.Rd               |  506 ++++++----
 spsurvey-4.0.0/spsurvey/man/changevar.mean.Rd           |only
 spsurvey-4.0.0/spsurvey/man/changevar.prop.Rd           |only
 spsurvey-4.0.0/spsurvey/man/changevar.size.Rd           |only
 spsurvey-4.0.0/spsurvey/man/cont.analysis.Rd            |  427 +++++----
 spsurvey-4.0.0/spsurvey/man/cont.cdfplot.Rd             |  173 ++-
 spsurvey-4.0.0/spsurvey/man/cont.cdftest.Rd             |  381 ++++----
 spsurvey-4.0.0/spsurvey/man/cov.panel.dsgn.Rd           |only
 spsurvey-4.0.0/spsurvey/man/dcdf.prop.Rd                |only
 spsurvey-4.0.0/spsurvey/man/dcdf.size.prop.Rd           |only
 spsurvey-4.0.0/spsurvey/man/dcdf.size.total.Rd          |only
 spsurvey-4.0.0/spsurvey/man/dcdf.total.Rd               |only
 spsurvey-4.0.0/spsurvey/man/dcdfvar.prop.Rd             |only
 spsurvey-4.0.0/spsurvey/man/dcdfvar.size.prop.Rd        |only
 spsurvey-4.0.0/spsurvey/man/dcdfvar.size.total.Rd       |only
 spsurvey-4.0.0/spsurvey/man/dcdfvar.total.Rd            |only
 spsurvey-4.0.0/spsurvey/man/decon_data.Rd               |   41 
 spsurvey-4.0.0/spsurvey/man/dframe.check.Rd             |only
 spsurvey-4.0.0/spsurvey/man/dsgnsum.Rd                  |   89 +
 spsurvey-4.0.0/spsurvey/man/examine.Rd                  |   65 -
 spsurvey-4.0.0/spsurvey/man/framesum.Rd                 |  185 ++-
 spsurvey-4.0.0/spsurvey/man/geodalbers.Rd               |   50 -
 spsurvey-4.0.0/spsurvey/man/grts.Rd                     |  336 +++----
 spsurvey-4.0.0/spsurvey/man/grtsarea.Rd                 |   96 +-
 spsurvey-4.0.0/spsurvey/man/grtslin.Rd                  |   87 +
 spsurvey-4.0.0/spsurvey/man/grtspts.Rd                  |   98 +-
 spsurvey-4.0.0/spsurvey/man/input.check.Rd              |only
 spsurvey-4.0.0/spsurvey/man/input.format.Rd             |only
 spsurvey-4.0.0/spsurvey/man/interp.axis.Rd              |only
 spsurvey-4.0.0/spsurvey/man/interp.cdf.Rd               |only
 spsurvey-4.0.0/spsurvey/man/irs.Rd                      |  278 +++--
 spsurvey-4.0.0/spsurvey/man/irsarea.Rd                  |   54 -
 spsurvey-4.0.0/spsurvey/man/irslin.Rd                   |   41 
 spsurvey-4.0.0/spsurvey/man/irspts.Rd                   |   27 
 spsurvey-4.0.0/spsurvey/man/isotonic.Rd                 |only
 spsurvey-4.0.0/spsurvey/man/localmean.cov.Rd            |only
 spsurvey-4.0.0/spsurvey/man/localmean.df.Rd             |only
 spsurvey-4.0.0/spsurvey/man/localmean.var.Rd            |only
 spsurvey-4.0.0/spsurvey/man/localmean.weight.Rd         |only
 spsurvey-4.0.0/spsurvey/man/localmean.weight2.Rd        |only
 spsurvey-4.0.0/spsurvey/man/marinus.Rd                  |   36 
 spsurvey-4.0.0/spsurvey/man/mdmarea.Rd                  |only
 spsurvey-4.0.0/spsurvey/man/mdmlin.Rd                   |only
 spsurvey-4.0.0/spsurvey/man/mdmpts.Rd                   |only
 spsurvey-4.0.0/spsurvey/man/panel_summary.Rd            |only
 spsurvey-4.0.0/spsurvey/man/plot_powerpaneldesign.Rd    |only
 spsurvey-4.0.0/spsurvey/man/power.dsgn.Rd               |only
 spsurvey-4.0.0/spsurvey/man/read.dbf.Rd                 |   57 -
 spsurvey-4.0.0/spsurvey/man/read.sas.Rd                 |   73 -
 spsurvey-4.0.0/spsurvey/man/read.shape.Rd               |   71 -
 spsurvey-4.0.0/spsurvey/man/relrisk.analysis.Rd         |  292 +++---
 spsurvey-4.0.0/spsurvey/man/relrisk.est.Rd              |  339 +++----
 spsurvey-4.0.0/spsurvey/man/relrisk.var.Rd              |only
 spsurvey-4.0.0/spsurvey/man/revisit_bibd.Rd             |only
 spsurvey-4.0.0/spsurvey/man/revisit_dsgn.Rd             |only
 spsurvey-4.0.0/spsurvey/man/revisit_rand.Rd             |only
 spsurvey-4.0.0/spsurvey/man/sbcframe.Rd                 |only
 spsurvey-4.0.0/spsurvey/man/sbcsamp.Rd                  |only
 spsurvey-4.0.0/spsurvey/man/selectframe.Rd              |only
 spsurvey-4.0.0/spsurvey/man/selectpts.Rd                |only
 spsurvey-4.0.0/spsurvey/man/selectrecordID.Rd           |only
 spsurvey-4.0.0/spsurvey/man/shape2spList.Rd             |only
 spsurvey-4.0.0/spsurvey/man/simex.Rd                    |only
 spsurvey-4.0.0/spsurvey/man/sorted.Rd                   |only
 spsurvey-4.0.0/spsurvey/man/sp2shape.Rd                 |   56 -
 spsurvey-4.0.0/spsurvey/man/spbalance.Rd                |  150 +--
 spsurvey-4.0.0/spsurvey/man/spsurvey-package.Rd         |only
 spsurvey-4.0.0/spsurvey/man/spsurvey.analysis.Rd        |  556 ++++++-----
 spsurvey-4.0.0/spsurvey/man/total.est.Rd                |  343 +++----
 spsurvey-4.0.0/spsurvey/man/total.var.Rd                |only
 spsurvey-4.0.0/spsurvey/man/uniqueID.Rd                 |   26 
 spsurvey-4.0.0/spsurvey/man/vecprint.Rd                 |only
 spsurvey-4.0.0/spsurvey/man/warnprnt.Rd                 |only
 spsurvey-4.0.0/spsurvey/man/wnas.Rd                     |only
 spsurvey-4.0.0/spsurvey/man/write.dbf.Rd                |   40 
 spsurvey-4.0.0/spsurvey/man/write.object.Rd             |  120 +-
 spsurvey-4.0.0/spsurvey/src/dbfFileParser.c             |   17 
 spsurvey-4.0.0/spsurvey/vignettes/Area_Analysis.Rnw     |   12 
 spsurvey-4.0.0/spsurvey/vignettes/Area_Design.Rnw       |    5 
 spsurvey-4.0.0/spsurvey/vignettes/CDF_Analysis.Rnw      |    9 
 spsurvey-4.0.0/spsurvey/vignettes/CDF_Deconvolution.Rnw |    3 
 spsurvey-4.0.0/spsurvey/vignettes/Change_Analysis.Rnw   |    5 
 spsurvey-4.0.0/spsurvey/vignettes/Finite_Analysis.Rnw   |    5 
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New package mnlfa with initial version 0.1-53
Package: mnlfa
Type: Package
Title: Moderated Nonlinear Factor Analysis
Version: 0.1-53
Date: 2019-04-04 18:31:54
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Description: Conducts moderated nonlinear factor analysis (e.g., Curran et al., 2014, <doi:10.1080/00273171.2014.889594>). Regularization methods are implemented for assessing non-invariant items. Currently, the package includes dichotomous items and unidimensional item response models. Extensions will be included in future package versions.
Depends: R (>= 3.1)
Imports: CDM (>= 7.0-4), stats, utils
LinkingTo: Rcpp, RcppArmadillo
Enhances: aMNLFA, GPCMlasso, sirt
URL: https://github.com/alexanderrobitzsch/mnlfa, https://sites.google.com/site/alexanderrobitzsch2/software
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2019-04-04 16:32:19 UTC; sunpn563
Repository: CRAN
Date/Publication: 2019-04-05 10:50:03 UTC

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New package hopit with initial version 0.9.0
Package: hopit
Type: Package
Title: Hierarchical Ordered Probit Models with Application to Reporting Heterogeneity
Version: 0.9.0
Depends: R (>= 3.4.0), survey (>= 3.35)
Imports: MASS, Rcpp, Matrix, Rdpack, graphics, stats, grDevices
LinkingTo: Rcpp, RcppEigen
Authors@R: person("Maciej J.", "Danko", role = c("aut", "cre"), email = "Maciej.Danko@gmail.com", comment = c(ORCID = "0000-0002-7924-9022"))
Description: Self-reported health, happiness, attitudes, and other statuses or perceptions are often the subject of biases that may come from different sources. For example, the evaluation of own health may depend on previous medical diagnoses, functional status, and symptoms and signs of illness, as well as life-style behaviors including contextual social, gender, age-specific, linguistic and other cultural factors (Jylha 2009 <doi:10.1016/j.socscimed.2009.05.013>; Oksuzyan et al. 2019 <doi:10.1016/j.socscimed.2019.03.002>). This package offers versatile functions for analyzing different self-reported ordinal variables and helping to estimate their biases. Specifically, the package provides the function to fit a generalized ordered probit model that regresses original self-reported status measures on two sets of independent variables (King et al. 2004 <doi:10.1017/S0003055403000881>; Jurges 2007 <doi:10.1002/hec.1134>; Oksuzyan et al. 2019 <doi:10.1016/j.socscimed.2019.03.002>). In contrast to standard ordered probit models, generalized ordered probit models relax the assumption that individuals use a common scale when rating their own statuses, and thus allow for distinguishing between the status (e.g., health) and reporting differences based on other individual characteristics. In other words, the model accounts for heterogeneity in reporting behaviors. The first set of variables (e.g., health variables) included in the regression are individual statuses and characteristics that are directly related to the self-reported variable. In case of self-reported health, these could be chronic conditions, mobility level, difficulties with daily activities, performance on grip strength tests, anthropometric measures, and lifestyle behaviors. The second set of independent variables (threshold variables) is used to model cut-points between adjacent self-reported response categories as functions of individual characteristics, such as gender, age group, education, and country (Oksuzyan et al. 2019 <doi:10.1016/j.socscimed.2019.03.002>). The model helps adjust for these specific socio-demographic and cultural differences in how the continuous latent health is projected onto the ordinal self-rated measure. The fitted model can be used to calculate an individual latent status variable that serves as a proxy of the true status. In case of self-reported health, the predicted latent health variable can be standardized to a health index, which varies from 0 representing the (model-based) worst health state to 1 representing the (model-based) best health in the sample. The standardized latent coefficients (disability weights for the case of self-rated health) provide information about the individual impact of the specific latent (e.g., health) variables on the latent (e.g., health) construct. For example, they indicate the extent to which the latent health index is reduced by the presence of Parkinson’s disease, poor mobility, and other specific health measures (Jurges 2007 <doi:10.1002/hec.1134>; Oksuzyan et al. 2019 <doi:10.1016/j.socscimed.2019.03.002>). The latent index can in turn be used to reclassify the categorical status measure that has been adjusted for inter-individual differences in reporting behavior. Two methods for doing so are available, one which uses model estimated cut-points, and a second which reclassifies responses according to the percentiles of the original categorical response distribution (Jurges 2007 <doi:10.1002/hec.1134>; Oksuzyan et al. 2019 <doi:10.1016/j.socscimed.2019.03.002>).
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.1.1
SystemRequirements: C++11
Suggests: knitr, rmarkdown, roxygen2, pander, testthat, usethis
VignetteBuilder: knitr
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2019-04-04 15:08:38 UTC; maciej
Author: Maciej J. Danko [aut, cre] (<https://orcid.org/0000-0002-7924-9022>)
Maintainer: Maciej J. Danko <Maciej.Danko@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-05 10:50:07 UTC

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New package graphlayouts with initial version 0.1.0
Package: graphlayouts
Title: Additional Layout Algorithms for Network Visualizations
Version: 0.1.0
Authors@R: person("David", "Schoch", email = "david.schoch@manchester.ac.uk", role = c("aut", "cre"))
Maintainer: David Schoch <david.schoch@manchester.ac.uk>
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow to emphasize hidden group structures in networks or focus on specific nodes.
URL: https://github.com/schochastics/graphlayouts
BugReports: https://github.com/schochastics/graphlayouts/issues
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: igraph, Rcpp, oaqc, gbp, scales
Suggests: testthat, ggraph, ggplot2, knitr, rmarkdown
LinkingTo: Rcpp
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-04-04 16:09:52 UTC; david
Author: David Schoch [aut, cre]
Repository: CRAN
Date/Publication: 2019-04-05 10:50:11 UTC

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Package RobAStBase updated to version 1.2.0 with previous version 1.1.0 dated 2018-08-03

Title: Robust Asymptotic Statistics
Description: Base S4-classes and functions for robust asymptotic statistics.
Author: Matthias Kohl [cre, cph, aut], Peter Ruckdeschel [aut, cph], Mykhailo Pupashenko [ctb] (contributed wrapper functions for diagnostic plots), Gerald Kroisandt [ctb] (contributed testing routines), R Core Team [ctb, cph] (for source file 'format.perc')
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

Diff between RobAStBase versions 1.1.0 dated 2018-08-03 and 1.2.0 dated 2019-04-05

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New package rankFD with initial version 0.0.2
Package: rankFD
Type: Package
Title: Rank-Based Tests for General Factorial Designs
Version: 0.0.2
Date: 2019-04-04
Author: Frank Konietschke, Sarah Friedrich, Edgar Brunner, Markus Pauly
Maintainer: Frank Konietschke <frank.konietschke@charite.de>
Depends: R (>= 3.2.2)
Description: The rankFD() function calculates the Wald-type statistic (WTS) and the ANOVA-type statistic (ATS) for nonparametric factorial designs, e.g., for count, ordinal or score data in a crossed design with an arbitrary number of factors.
License: GPL-2 | GPL-3
Imports: lattice (>= 0.20-33), MASS (>= 7.3-43), Matrix (>= 1.2-2), coin (>= 1.1-2)
LazyData: TRUE
Suggests: RGtk2 (>= 2.20.31)
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-04-05 08:03:09 UTC; sarah
Repository: CRAN
Date/Publication: 2019-04-05 09:40:03 UTC

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Package networkDynamic updated to version 0.10.0 with previous version 0.9.0 dated 2016-01-14

Title: Dynamic Extensions for Network Objects
Description: Simple interface routines to facilitate the handling of network objects with complex intertemporal data. This is a part of the "statnet" suite of packages for network analysis.
Author: Carter T. Butts [aut], Ayn Leslie-Cook [aut], Pavel N. Krivitsky [aut], Skye Bender-deMoll [aut, cre], Zack Almquist [ctb], David R. Hunter [ctb], Li Wang [ctb], Kirk Li [ctb], Steven M. Goodreau [ctb], Jeffrey Horner [ctb], Martina Morris [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

Diff between networkDynamic versions 0.9.0 dated 2016-01-14 and 0.10.0 dated 2019-04-05

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New package lconnect with initial version 0.1.0
Package: lconnect
Title: Simple Tools to Compute Landscape Connectivity Metrics
Version: 0.1.0
Authors@R: c( person("Frederico", "Mestre", email = "mestre.frederico@gmail.com", role = c("aut","cre")), person("Bruno", "Silva", email = "bmsasilva@gmail.com", role = "aut"))
Description: Provides functions to upload vectorial data and derive landscape connectivity metrics in habitat or matrix systems. Additionally, includes an approach to assess individual patch contribution to the overall landscape connectivity, enabling the prioritization of habitat patches. The computation of landscape connectivity and patch importance are very useful in Landscape Ecology research. The metrics available are: number of components, number of links, size of the largest component, mean size of components, class coincidence probability, landscape coincidence probability, characteristic path length, expected cluster size, area-weighted flux and integral index of connectivity. Pascual-Hortal, L., and Saura, S. (2006) <doi:10.1007/s10980-006-0013-z> Urban, D., and Keitt, T. (2001) <doi:10.2307/2679983> Laita, A., Kotiaho, J., Monkkonen, M. (2011) <doi:10.1007/s10980-011-9620-4>.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: sf, igraph
BugReports: https://github.com/FMestre1/lconnect/issues
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-02 07:36:33 UTC; bruno
Author: Frederico Mestre [aut, cre], Bruno Silva [aut]
Maintainer: Frederico Mestre <mestre.frederico@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-05 09:30:03 UTC

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Package CluMP updated to version 0.7.1 with previous version 0.7 dated 2019-01-11

Title: Clustering of Micro Panel Data
Description: Two-step feature-based clustering method designed for micro panel (longitudinal) data with the artificial panel data generator. See Sobisek, Stachova, Fojtik (2018) <arXiv:1807.05926>.
Author: Jan Fojtik [aut], Anna Grishko [aut, cre], Lukas Sobisek [aut, cph, rev]
Maintainer: Anna Grishko <anja.grishko@gmail.com>

Diff between CluMP versions 0.7 dated 2019-01-11 and 0.7.1 dated 2019-04-05

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Package RCzechia updated to version 1.4.0 with previous version 1.3.3 dated 2019-03-06

Title: Spatial Objects of the Czech Republic
Description: Administrative regions, rivers and water bodies of the Czech Republic.
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

Diff between RCzechia versions 1.3.3 dated 2019-03-06 and 1.4.0 dated 2019-04-05

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Package cluster updated to version 2.0.8 with previous version 2.0.7-1 dated 2018-04-09

Title: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Description: Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [aut] (Fortran original, <https://orcid.org/0000-0002-3807-5353>), Anja Struyf [aut] (S original), Mia Hubert [aut] (S original, <https://orcid.org/0000-0001-6398-4850>), Kurt Hornik [trl, ctb] (port to R; maintenance(1999-2000), <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Erich Schubert [ctb] (fastpam options for pam(), <https://orcid.org/0000-0001-9143-4880>)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package Delaporte updated to version 7.0.1 with previous version 7.0.0 dated 2019-02-12

Title: Statistical Functions for the Delaporte Distribution
Description: Provides probability mass, distribution, quantile, random-variate generation, and method-of-moments parameter-estimation functions for the Delaporte distribution. The Delaporte is a discrete probability distribution which can be considered the convolution of a negative binomial distribution with a Poisson distribution. Alternatively, it can be considered a counting distribution with both Poisson and negative binomial components. It has been studied in actuarial science as a frequency distribution which has more variability than the Poisson, but less than the negative binomial.
Author: Avraham Adler [aut, cph, cre] (<https://orcid.org/0000-0002-3039-0703>)
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

Diff between Delaporte versions 7.0.0 dated 2019-02-12 and 7.0.1 dated 2019-04-05

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Package dynamichazard updated to version 0.6.5 with previous version 0.6.4 dated 2019-03-11

Title: Dynamic Hazard Models using State Space Models
Description: Contains functions that lets you fit dynamic hazard models using state space models. The first implemented model is described in Fahrmeir (1992) <doi:10.1080/01621459.1992.10475232> and Fahrmeir (1994) <doi:10.1093/biomet/81.2.317>. Extensions hereof are available where the Extended Kalman filter is replaced by an unscented Kalman filter and other options including particle filters. The implemented particle filters support more general state space models.
Author: Benjamin Christoffersen [cre, aut], Alan Miller [cph], Anthony Williams [cph], Boost developers [cph], R-core [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

Diff between dynamichazard versions 0.6.4 dated 2019-03-11 and 0.6.5 dated 2019-04-05

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Package palaeoSig (with last version 1.1-3) was removed from CRAN

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

2015-02-17 1.1-3
2013-04-18 1.1-2
2012-06-20 1.1-1
2011-02-14 1.0

Permanent link
Package ggdmc (with last version 0.2.5.7) was removed from CRAN

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

2019-03-25 0.2.5.7
2019-03-22 0.2.5.6
2018-09-01 0.2.5.2

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Package trackeR updated to version 1.5.0 with previous version 1.4.1 dated 2019-03-24

Title: Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices
Description: Provides infrastructure for handling running, cycling and swimming data from GPS-enabled tracking devices within R. The package provides methods to extract, clean and organise workout and competition data into session-based and unit-aware data objects of class 'trackeRdata' (S3 class). The information can then be visualised, summarised, and analysed through flexible and extensible methods. Frick and Kosmidis (2017) <doi: 10.18637/jss.v082.i07>, which is updated and maintained as one of the vignettes, provides detailed descriptions of the package and its methods, and real-data demonstrations of the package functionality.
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>), Hannah Frick [aut] (<https://orcid.org/0000-0002-6049-5258>), Robin Hornak [aut]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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More information about trackeR at CRAN
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Package airGRteaching updated to version 0.2.6.14 with previous version 0.2.3.2 dated 2018-08-08

Title: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Description: Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Author: Olivier Delaigue [aut, cre] (<https://orcid.org/0000-0002-7668-8468>), Laurent Coron [aut] (<https://orcid.org/0000-0002-1503-6204>), Pierre Brigode [aut] (<https://orcid.org/0000-0001-8257-0741>), Guillaume Thirel [ctb] (<https://orcid.org/0000-0002-1444-1830>)
Maintainer: Olivier Delaigue <airGR@irstea.fr>

Diff between airGRteaching versions 0.2.3.2 dated 2018-08-08 and 0.2.6.14 dated 2019-04-05

 airGRteaching-0.2.3.2/airGRteaching/inst/plotters                                      |only
 airGRteaching-0.2.3.2/airGRteaching/vignettes/fig                                      |only
 airGRteaching-0.2.6.14/airGRteaching/DESCRIPTION                                       |   31 
 airGRteaching-0.2.6.14/airGRteaching/MD5                                               |   72 -
 airGRteaching-0.2.6.14/airGRteaching/NAMESPACE                                         |    4 
 airGRteaching-0.2.6.14/airGRteaching/NEWS                                              |  384 ++++++----
 airGRteaching-0.2.6.14/airGRteaching/R/CalGR.R                                         |    2 
 airGRteaching-0.2.6.14/airGRteaching/R/ShinyGR.R                                       |    5 
 airGRteaching-0.2.6.14/airGRteaching/R/SimGR.R                                         |    4 
 airGRteaching-0.2.6.14/airGRteaching/R/Utils.R                                         |    5 
 airGRteaching-0.2.6.14/airGRteaching/R/plot.CalGR.R                                    |    4 
 airGRteaching-0.2.6.14/airGRteaching/R/plot.PrepGR.R                                   |    2 
 airGRteaching-0.2.6.14/airGRteaching/build/vignette.rds                                |binary
 airGRteaching-0.2.6.14/airGRteaching/inst/CITATION                                     |   33 
 airGRteaching-0.2.6.14/airGRteaching/inst/ShinyGR/server.R                             |  136 ++-
 airGRteaching-0.2.6.14/airGRteaching/inst/ShinyGR/www/fig/logo_irstea_hydro_square.svg |  214 ++---
 airGRteaching-0.2.6.14/airGRteaching/inst/doc/get_started.R                            |    2 
 airGRteaching-0.2.6.14/airGRteaching/inst/doc/get_started.html                         |   51 -
 airGRteaching-0.2.6.14/airGRteaching/inst/doc/get_started.rmd                          |    6 
 airGRteaching-0.2.6.14/airGRteaching/man/CalGR.Rd                                      |    4 
 airGRteaching-0.2.6.14/airGRteaching/man/PrepGR.Rd                                     |    4 
 airGRteaching-0.2.6.14/airGRteaching/man/ShinyGR.Rd                                    |    6 
 airGRteaching-0.2.6.14/airGRteaching/man/SimGR.Rd                                      |    4 
 airGRteaching-0.2.6.14/airGRteaching/man/dyplot.default.Rd                             |    4 
 airGRteaching-0.2.6.14/airGRteaching/man/plot.CalGR.Rd                                 |    4 
 airGRteaching-0.2.6.14/airGRteaching/man/plot.PrepGR.Rd                                |    4 
 airGRteaching-0.2.6.14/airGRteaching/man/plot.SimGR.Rd                                 |    4 
 airGRteaching-0.2.6.14/airGRteaching/vignettes/get_started.rmd                         |    6 
 28 files changed, 597 insertions(+), 398 deletions(-)

More information about airGRteaching at CRAN
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