Title: Multidimensional Item Response Theory
Description: Analysis of dichotomous and polytomous response data using
unidimensional and multidimensional latent trait models under the Item
Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>).
Exploratory and confirmatory models can be estimated with quadrature (EM)
or stochastic (MHRM) methods. Confirmatory
bi-factor and two-tier analyses are available for modeling item testlets.
Multiple group analysis and mixed effects designs also are available for
detecting differential item and test functioning as well as modeling
item and person covariates. Finally, latent class models such as the DINA,
DINO, multidimensional latent class, and several other discrete latent
variable models, including mixture and zero-inflated response models,
are supported.
Author: Phil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>),
Joshua Pritikin [ctb],
Alexander Robitzsch [ctb],
Mateusz Zoltak [ctb],
KwonHyun Kim [ctb],
Carl F. Falk [ctb],
Adam Meade [ctb],
Lennart Schneider [ctb],
David King [ctb],
Chen-Wei Liu [ctb],
Ogreden Oguzhan [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>
Diff between mirt versions 1.33.2 dated 2020-10-31 and 1.34 dated 2021-06-28
DESCRIPTION | 9 +- MD5 | 110 ++++++++++++++++++------------------ NEWS.md | 14 ++++ R/02-item_methods.R | 58 +++++++++--------- R/03-estimation.R | 95 ++++++++++++++++++++++--------- R/06-LoadPars.R | 4 - R/08-SE.methods.R | 47 ++++++++++----- R/DIF.R | 22 +++---- R/DRF.R | 4 - R/EMstep.group.R | 14 ++-- R/EMstep.utils.R | 2 R/M2.R | 29 +++++---- R/MHRM.group.R | 22 +++---- R/SIBTEST.R | 1 R/SingleGroup-methods.R | 42 ++++++++----- R/bfactor.R | 20 ++++++ R/createGroup.R | 2 R/createItem.R | 6 - R/empirical_ES.R | 41 +++++++------ R/extract.mirt.R | 6 - R/fixedCalib.R | 84 +++++++++++++++++++++------ R/fixef.R | 3 R/fscores.R | 5 - R/fscores.internal.R | 29 +++++++-- R/itemfit.R | 14 +++- R/lagrange.R | 2 R/mirt.R | 2 R/mixedmirt.R | 7 ++ R/multipleGroup.R | 10 ++- R/numerical_deriv.R | 16 ++--- R/personfit.R | 5 + R/poly2dich.R | 5 - R/randef.R | 2 R/simdata.R | 29 ++++++++- R/utils.R | 108 ++++++++++++++++++++++++++++------- build/partial.rdb |binary build/vignette.rds |binary man/DIF.Rd | 4 - man/anova-method.Rd | 7 ++ man/bfactor.Rd | 20 ++++++ man/createItem.Rd | 2 man/empirical_ES.Rd | 4 - man/extract.mirt.Rd | 4 - man/fixedCalib.Rd | 66 ++++++++++++++++++--- man/fscores.Rd | 5 - man/mirt.Rd | 2 man/multipleGroup.Rd | 7 ++ man/numerical_deriv.Rd | 18 ++--- man/poly2dich.Rd | 4 - man/simdata.Rd | 28 ++++++++- src/Misc.cpp | 6 - src/dpars.cpp | 25 +++++--- tests/tests/test-01-mirtOne.R | 2 tests/tests/test-04-multipleGroup.R | 8 +- tests/tests/test-05-confmirtOne.R | 2 tests/tests/test-17-DIF_DRF.R | 4 - 56 files changed, 754 insertions(+), 333 deletions(-)
Title: The 'Tidymodels' Extension for Bayesian Models
Description: Bayesian framework for use with the 'tidymodels' ecosystem. Includes the following models: Sarima, Garch,
Random walk (naive), Additive Linear State Space Models, Stochastic Volatility Models from 'bayesforecast' package,
Adaptive Splines Surfaces from 'BASS' package and ETS from 'Rlgt' package.
Author: Alberto Almuiña [aut, cre]
Maintainer: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>
Diff between bayesmodels versions 0.1.0 dated 2021-05-12 and 0.1.1 dated 2021-06-28
DESCRIPTION | 14 LICENSE | 4 MD5 | 102 +- NAMESPACE | 247 ++--- NEWS.md | 11 R/00_global_variables.R | 10 R/dials-ssm_params.R | 3 R/dials-svm_params.R | 170 +-- R/parsnip-adaptive_spline.R | 4 R/parsnip-adaptive_spline_data.R | 210 ++-- R/parsnip-bayesian_structural_reg.R | 37 R/parsnip-bayesian_structural_reg_data.R | 156 +-- R/parsnip-exp_smoothing_reg.R | 3 R/parsnip-exp_smoothing_reg_data.R | 224 ++--- R/parsnip-garch_reg.R | 3 R/parsnip-garch_reg_data.R | 374 ++++---- R/parsnip-gen_additive_mod_data.R | 174 +-- R/parsnip-gen_additive_reg.R | 3 R/parsnip-naive_reg.R | 3 R/parsnip-naive_reg_data.R | 284 +++--- R/parsnip-sarima_reg_data.R | 368 ++++---- R/parsnip-ssm_reg.R | 3 R/parsnip-ssm_reg_data.R | 338 +++---- R/parsnip-svm_reg.R | 2 R/parsnip-svm_reg_data.R | 284 +++--- R/parsnip_sarima_reg.R | 1 R/utils-pipe.R | 28 R/utils-tidy-eval.R | 94 +- R/zzz.R | 114 +- README.md | 146 +-- build/vignette.rds |binary inst/doc/modeltime-integration.Rmd | 528 ++++++------ inst/doc/modeltime-integration.html | 1266 ++++++++++++----------------- man/adaptive_spline.Rd | 1 man/additive_state_space.Rd | 1 man/bayesian_structural_reg.Rd | 1 man/exponential_smoothing.Rd | 1 man/garch_reg.Rd | 1 man/gen_additive_reg.Rd | 1 man/pipe.Rd | 40 man/random_walk_reg.Rd | 1 man/sarima_reg.Rd | 1 man/ssm_params.Rd | 1 man/svm_reg.Rd | 1 man/tidyeval.Rd | 102 +- tests/testthat.R | 18 tests/testthat/test-algo-garch_reg.R | 344 +++---- tests/testthat/test-algo-random_walk_reg.R | 328 +++---- tests/testthat/test-algo-sarima_reg.R | 352 ++++---- tests/testthat/test-algo-ssm_reg.R | 330 +++---- tests/testthat/test-algo-svm_reg.R | 256 ++--- vignettes/modeltime-integration.Rmd | 528 ++++++------ 52 files changed, 3690 insertions(+), 3826 deletions(-)
Title: Prediction Intervals with Random Forests and Boosted Forests
Description: Implements various prediction interval methods with random forests and boosted forests.
The package has two main functions: pibf() produces prediction intervals with boosted forests
(PIBF) as described in Alakus et al. (2021) <arXiv:2106.08217> and rfpi() builds 15 distinct
variations of prediction intervals with random forests (RFPI) proposed by Roy and Larocque (2020)
<doi:10.1177/0962280219829885>.
Author: Cansu Alakus [aut, cre],
Denis Larocque [aut],
Aurelie Labbe [aut],
Hemant Ishwaran [ctb] (Author of included randomForestSRC codes),
Udaya B. Kogalur [ctb] (Author of included randomForestSRC codes)
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>
Diff between RFpredInterval versions 1.0.1 dated 2021-06-18 and 1.0.2 dated 2021-06-28
DESCRIPTION | 6 +-- MD5 | 33 ++++++++++----------- NEWS.md |only R/BostonHousing.R | 4 -- R/RFpredInterval-package.R | 17 +++++----- R/piall.R | 6 +-- R/pibf.R | 22 +++++++------- R/plot.pi.piall.R | 4 +- R/rfpi.R | 65 ++++++++++++++++++++--------------------- README.md | 2 - configure | 18 +++++------ configure.ac | 2 - man/BostonHousing.Rd | 4 -- man/RFpredInterval-package.Rd | 17 +++++----- man/piall.Rd | 6 +-- man/pibf.Rd | 19 +++++------- man/plot.pi.piall.Rd | 4 +- man/rfpi.Rd | 66 ++++++++++++++++++++---------------------- 18 files changed, 145 insertions(+), 150 deletions(-)
More information about RFpredInterval at CRAN
Permanent link
Title: Formal Concept Analysis
Description: Provides tools to perform fuzzy formal concept
analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23>
and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>. It
provides functions to load and save a formal context, extract its
concept lattice and implications. In addition, one can use the
implications to compute semantic closures of fuzzy sets and, thus,
build recommendation systems.
Author: Domingo Lopez Rodriguez [aut, cre]
(<https://orcid.org/0000-0002-0172-1585>),
Angel Mora [aut],
Jesus Dominguez [aut],
Ana Villalon [aut],
Ian Johnson [ctb]
Maintainer: Domingo Lopez Rodriguez <dominlopez@uma.es>
Diff between fcaR versions 1.1.0 dated 2021-06-16 and 1.1.1 dated 2021-06-28
fcaR-1.1.0/fcaR/R/conceptlist.R |only fcaR-1.1.0/fcaR/man/print.Rd |only fcaR-1.1.0/fcaR/man/to_latex.Rd |only fcaR-1.1.1/fcaR/DESCRIPTION | 13 - fcaR-1.1.1/fcaR/MD5 | 44 ++--- fcaR-1.1.1/fcaR/NAMESPACE | 4 fcaR-1.1.1/fcaR/NEWS.md | 14 + fcaR-1.1.1/fcaR/R/concept_set.R | 2 fcaR-1.1.1/fcaR/R/context_to_latex.R | 3 fcaR-1.1.1/fcaR/R/export_to_latex.R | 82 ++++----- fcaR-1.1.1/fcaR/R/export_to_string.R | 13 - fcaR-1.1.1/fcaR/R/formal_context.R | 7 fcaR-1.1.1/fcaR/R/format_label.R |only fcaR-1.1.1/fcaR/R/lattice_plot.R | 10 + fcaR-1.1.1/fcaR/R/options.R |only fcaR-1.1.1/fcaR/R/plot_context.R | 9 + fcaR-1.1.1/fcaR/R/to_fraction.R | 7 fcaR-1.1.1/fcaR/README.md | 60 ++----- fcaR-1.1.1/fcaR/inst/doc/arules.html | 26 +-- fcaR-1.1.1/fcaR/inst/doc/concept_lattice.html | 152 +++++++++--------- fcaR-1.1.1/fcaR/inst/doc/conceptual-scaling.html | 16 - fcaR-1.1.1/fcaR/inst/doc/extending_equivalence.html | 22 +- fcaR-1.1.1/fcaR/inst/doc/implications.html | 22 +- fcaR-1.1.1/fcaR/man/fcaR_options.Rd |only fcaR-1.1.1/fcaR/tests/testthat/Rplots.pdf |binary fcaR-1.1.1/fcaR/tests/testthat/test-concept_lattice.R | 2 26 files changed, 259 insertions(+), 249 deletions(-)
Title: Computerized Adaptive Testing with Multidimensional Item
Response Theory
Description: Provides tools to generate an HTML interface for creating adaptive
and non-adaptive educational and psychological tests using the shiny
package (Chalmers (2016) <doi:10.18637/jss.v071.i05>).
Suitable for applying unidimensional and multidimensional
computerized adaptive tests (CAT) using item response theory methodology and for
creating simple questionnaires forms to collect response data directly in R.
Additionally, optimal test designs (e.g., "shadow testing") are supported
for tests which contain a large number of item selection constraints.
Finally, package contains tools useful for performing Monte Carlo simulations
for studying the behavior of computerized adaptive test banks.
Author: Phil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>),
Magnus Nordmo [ctb] (<https://orcid.org/0000-0002-1977-1038>)
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>
Diff between mirtCAT versions 1.10 dated 2020-07-10 and 1.11 dated 2021-06-28
DESCRIPTION | 20 ++++-- MD5 | 60 ++++++++++---------- NEWS.md | 14 ++++ R/DesignClass.R | 13 ++-- R/PersonClass.R | 4 - R/ShinyGUIClass.R | 29 +++++++-- R/TestClass.R | 16 ++++- R/computeCriteria.R | 2 R/createShinyGUI.R | 2 R/extract.mirtCAT.R | 6 ++ R/findNextCATItem.R | 54 +++++++++++++----- R/getPerson.R | 2 R/mirtCAT.R | 30 ++++++++-- R/mirtCAT_preamble.R | 20 +++++- R/server.R | 108 +++++++++++++++++++++++++++++-------- R/ui.R | 3 - R/util.R | 46 +++++++++++---- README.md | 2 build/partial.rdb |binary build/vignette.rds |binary man/computeCriteria.Rd | 2 man/createSessionName.Rd | 4 - man/createShinyGUI.Rd | 2 man/extract.mirtCAT.Rd | 3 + man/findNextItem.Rd | 52 +++++++++++++---- man/get_mirtCAT_env.Rd | 4 - man/mirtCAT.Rd | 24 +++++++- man/mirtCAT_preamble.Rd | 4 - src/item_functions.cpp | 38 ++++++------- tests/GUI-tests/GUI-tests.R | 42 +++++++++++--- tests/tests/test-mirtCAT_ordered.R | 4 - 31 files changed, 436 insertions(+), 174 deletions(-)
Title: Adaptive Sum of Powered Score Test
Description: R codes for the (adaptive) Sum of Powered Score ('SPU' and 'aSPU')
tests, inverse variance weighted Sum of Powered score ('SPUw' and 'aSPUw') tests
and gene-based and some pathway based association tests (Pathway based Sum of
Powered Score tests ('SPUpath'), adaptive 'SPUpath' ('aSPUpath') test, 'GEEaSPU'
test for multiple traits - single 'SNP' (single nucleotide polymorphism)
association in generalized estimation equations, 'MTaSPUs' test for multiple
traits - single 'SNP' association with Genome Wide Association Studies ('GWAS')
summary statistics, Gene-based Association Test that uses an extended 'Simes'
procedure ('GATES'), Hybrid Set-based Test ('HYST') and extended version
of 'GATES' test for pathway-based association testing ('GATES-Simes'). ).
The tests can be used with genetic and other data sets with covariates. The
response variable is binary or quantitative. Summary; (1) Single trait-'SNP' set
association with individual-level data ('aSPU', 'aSPUw', 'aSPUr'), (2) Single trait-'SNP'
set association with summary statistics ('aSPUs'), (3) Single trait-pathway
association with individual-level data ('aSPUpath'), (4) Single trait-pathway
association with summary statistics ('aSPUsPath'), (5) Multiple traits-single
'SNP' association with individual-level data ('GEEaSPU'), (6) Multiple traits-
single 'SNP' association with summary statistics ('MTaSPUs'), (7) Multiple traits-'SNP' set association with summary statistics('MTaSPUsSet'), (8) Multiple traits-pathway association with summary statistics('MTaSPUsSetPath').
Author: Il-Youp Kwak and others (See Author(s) in each function manual)
Maintainer: Il-Youp Kwak <ikwak2@cau.ac.kr>
Diff between aSPU versions 1.49 dated 2020-05-13 and 1.50 dated 2021-06-28
DESCRIPTION | 10 - MD5 | 68 +++++------ R/GATES2.R | 18 +-- R/GatesSimes.R | 16 +- R/Hyst.R | 14 +- R/MTaSPUs.R | 2 R/aSPU.R | 6 - R/aSPUpath.r | 4 R/aSPUpath2.r | 7 - R/aSPUsPath2.r | 10 - R/aSPUw.R | 4 R/estcov.R | 2 R/getlogitp.R | 8 - R/minP.R | 2 R/simPathAR1SNP.R | 2 build/vignette.rds |binary inst/doc/MTaSPUsSet.Rmd | 4 inst/doc/MTaSPUsSet.html | 173 +++++++++++++++++++----------- inst/doc/aSPUstat.Rmd | 2 inst/doc/aSPUstat.html | 267 +++++++++++++++++++++++++++-------------------- man/GATES2.Rd | 16 +- man/GatesSimes.Rd | 16 +- man/Hyst.Rd | 14 +- man/MTaSPUs.Rd | 2 man/aSPU.Rd | 7 - man/aSPUpath.Rd | 4 man/aSPUpath2.Rd | 7 - man/aSPUsPath2.Rd | 6 - man/aSPUw.Rd | 5 man/estcov.Rd | 2 man/getlogitp.Rd | 8 - man/minP.Rd | 2 man/simPathAR1Snp.Rd | 2 vignettes/MTaSPUsSet.Rmd | 4 vignettes/aSPUstat.Rmd | 2 35 files changed, 407 insertions(+), 309 deletions(-)
Title: Penalized Composite Link Model for Efficient Estimation of
Smooth Distributions from Coarsely Binned Data
Description: Versatile method for ungrouping histograms (binned count data)
assuming that counts are Poisson distributed and that the underlying sequence
on a fine grid to be estimated is smooth. The method is based on the composite
link model and estimation is achieved by maximizing a penalized likelihood.
Smooth detailed sequences of counts and rates are so estimated from the binned
counts. Ungrouping binned data can be desirable for many reasons: Bins can be
too coarse to allow for accurate analysis; comparisons can be hindered when
different grouping approaches are used in different histograms; and the last
interval is often wide and open-ended and, thus, covers a lot of information
in the tail area. Age-at-death distributions grouped in age classes and
abridged life tables are examples of binned data. Because of modest assumptions,
the approach is suitable for many demographic and epidemiological applications.
For a detailed description of the method and applications see
Rizzi et al. (2015) <doi:10.1093/aje/kwv020>.
Author: Marius D. Pascariu [aut, cre] (<https://orcid.org/0000-0002-2568-6489>),
Silvia Rizzi [aut],
Jonas Schoeley [aut] (<https://orcid.org/0000-0002-3340-8518>),
Maciej J. Danko [aut] (<https://orcid.org/0000-0002-7924-9022>)
Maintainer: Marius D. Pascariu <rpascariu@outlook.com>
Diff between ungroup versions 1.3.0 dated 2021-01-10 and 1.4.2 dated 2021-06-28
DESCRIPTION | 9 +- MD5 | 26 +++---- NAMESPACE | 7 - NEWS | 3 R/pclm_2D.R | 33 ++++----- R/pclm_graphics.R | 153 ++++++++++++++++++++++++------------------- R/ungroup-package.r | 9 +- R/utils.R | 13 ++- README.md | 2 build/partial.rdb |binary inst/doc/Intro.pdf |binary man/pclm2D.Rd | 27 ++++--- man/plot.pclm2D.Rd | 77 ++++++++++++--------- tests/testthat/test_pclm2D.R | 7 + 14 files changed, 205 insertions(+), 161 deletions(-)
Title: Analysis and Prediction of Tides
Description: Tidal analysis of evenly spaced observed time series (time step 1 to 60 min) with or
without shorter gaps using the harmonic representation of inequalities.
The analysis should preferably cover an observation period of at least 19 years.
For shorter periods low frequency constituents are not taken into account, in accordance with the Rayleigh-Criterion.
The main objective of this package is to synthesize or predict a tidal time series.
Author: Moritz Mueller-Navarra [aut, cre],
Sylvin Mueller-Navarra [aut] ((2019)
<https://doi.org/10.5194/os-15-1363-2019>),
Andreas Boesch [ctb] ((2019) <https://doi.org/10.5194/os-15-1363-2019>)
Maintainer: Moritz Mueller-Navarra <muellernavarra@gmail.com>
Diff between TideCurves versions 0.0.4 dated 2019-10-29 and 0.0.5 dated 2021-06-28
DESCRIPTION | 23 + MD5 | 32 +- NAMESPACE | 3 NEWS | 9 R/BuildDesign.R |only R/BuildTC.R |only R/Funcs.R | 2 R/ResCurve.R | 30 ++ R/SynTC.R |only R/TideCurve.R | 61 ++-- README.md | 630 ++++++++++++++++++++++++++++++++++++++++++++++++- build |only man/BuildDesign.Rd |only man/BuildTC.Rd |only man/Funcs.Rd | 2 man/ResCurve.Rd | 28 ++ man/SynTC.Rd |only man/TideCurve.Rd | 28 +- man/tideObservation.Rd | 6 tests |only 20 files changed, 781 insertions(+), 73 deletions(-)
Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute
Monte Carlo simulation experiments in R.
The package controls the structure and back-end of Monte Carlo simulation experiments
by utilizing a generate-analyse-summarise workflow. The workflow safeguards against
common simulation coding issues, such as automatically re-simulating non-convergent results,
prevents inadvertently overwriting simulation files, catches error and warning messages
during execution, and implicitly supports parallel processing.
For a pedagogical introduction to the package see
Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of
the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>),
Matthew Sigal [ctb],
Ogreden Oguzhan [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>
Diff between SimDesign versions 2.5 dated 2021-06-01 and 2.6 dated 2021-06-28
DESCRIPTION | 14 - MD5 | 84 +++++----- NEWS.md | 12 + R/Attach.R | 2 R/SimBoot.R | 21 -- R/SimClean.R | 2 R/SimDesign.R | 3 R/SimExtract.R | 19 ++ R/SimFunctions.R | 17 +- R/SimShiny.R | 8 R/add_missing.R | 3 R/aggregate_simulations.R | 19 +- R/analysis.R | 38 +++- R/boot_predict.R | 3 R/functions.R | 29 +-- R/rgenerate.R | 9 - R/runSimulation.R | 315 +++++++++++++++++++++++++-------------- R/summary_functions.R | 63 ++++++- R/util.R | 38 ++++ build/partial.rdb |binary inst/doc/Catch_errors.html | 16 - inst/doc/Fixed_obj_fun.html | 10 - inst/doc/Parallel-computing.html | 4 inst/doc/Saving-results.html | 91 +++++------ inst/doc/SimDesign-intro.html | 20 +- man/Analyse.Rd | 4 man/EDR.Rd | 8 man/Generate.Rd | 4 man/MAE.Rd | 13 + man/RD.Rd | 5 man/RMSE.Rd | 8 man/SimClean.Rd | 2 man/SimDesign.Rd | 3 man/SimExtract.Rd | 17 +- man/SimFunctions.Rd | 10 - man/SimShiny.Rd | 4 man/Summarise.Rd | 7 man/add_missing.Rd | 3 man/aggregate_simulations.Rd | 7 man/bias.Rd | 6 man/rHeadrick.Rd | 9 - man/runSimulation.Rd | 273 +++++++++++++++++++++------------ tests/tests/test-SimDesign.R | 39 ++++ 43 files changed, 791 insertions(+), 471 deletions(-)
Title: Sensitivity Assessment to Unmeasured Confounding with Multiple
Treatments
Description: A sensitivity analysis approach for unmeasured confounding in observational data with multiple treatments and a binary outcome. This approach derives the general bias formula and provides adjusted causal effect estimates in response to various assumptions about the degree of unmeasured confounding. Nested multiple imputation is embedded within the Bayesian framework to integrate uncertainty about the sensitivity parameters and sampling variability. Bayesian Additive Regression Model (BART) is used for outcome modeling. The causal estimands are the conditional average treatment effects (CATE) based on the risk difference. For more details, see paper: Hu L et al. (2020) A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data <arXiv:2012.06093>.
Author: Liangyuan Hu [aut],
Jungang Zou [aut],
Jiayi Ji [aut, cre]
Maintainer: Jiayi Ji <Jiayi.Ji@mountsinai.org>
Diff between SAMTx versions 0.2.0 dated 2021-06-21 and 0.3.0 dated 2021-06-28
DESCRIPTION | 8 ++++---- MD5 | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-)
Title: Date-Time Types and Tools
Description: Provides a comprehensive library for date-time manipulations
using a new family of orthogonal date-time classes (durations, time
points, zoned-times, and calendars) that partition responsibilities so
that the complexities of time zones are only considered when they are
really needed. Capabilities include: date-time parsing, formatting,
arithmetic, extraction and updating of components, and rounding.
Author: Davis Vaughan [aut, cre],
RStudio [cph, fnd]
Maintainer: Davis Vaughan <davis@rstudio.com>
Diff between clock versions 0.3.0 dated 2021-04-22 and 0.3.1 dated 2021-06-28
DESCRIPTION | 8 +- MD5 | 40 ++++++------ NEWS.md | 32 +++++++++ R/date.R | 34 ++++------ R/gregorian-year-month-day.R | 2 R/naive-time.R | 25 +++++++ R/posixt.R | 42 ++++++------ R/sys-time.R | 2 R/zoned-time.R | 27 ++++++-- build/vignette.rds |binary man/date-time-parse.Rd | 59 +++++++++-------- man/date_parse.Rd | 51 +++++++-------- man/naive_time_parse.Rd | 52 +++++++++++++-- man/sys_time_parse.Rd | 29 ++++++-- man/year_month_day_parse.Rd | 29 ++++++-- man/zoned-parsing.Rd | 29 ++++++-- tests/testthat/test-date.R | 16 +++- tests/testthat/test-gregorian-year-month-day.R | 8 +- tests/testthat/test-naive-time.R | 54 ++++++++++------ tests/testthat/test-utils.R | 4 - tests/testthat/test-zoned-time.R | 83 ++++++++++++++++--------- 21 files changed, 426 insertions(+), 200 deletions(-)
Title: Client for Web Time-Series Service
Description: Allows remote access to satellite image time
series provided by the web time series service (WTSS) available
at servers such as <https://brazildatacube.dpi.inpe.br/wtss/>.
The functions include listing the data sets available in WTSS servers,
describing the contents of a data set, and retrieving a time series
based on spatial location and temporal filters.
Author: Gilberto Queiroz [aut] (<https://orcid.org/0000-0001-7534-0219>),
Gilberto Camara [aut] (<https://orcid.org/0000-0002-3681-487X>),
Pedro Andrade [aut] (<https://orcid.org/0000-0001-8675-4046>),
Felipe Souza [aut, cre],
Luiz Assis [aut]
Maintainer: Felipe Souza <lipecaso@gmail.com>
Diff between Rwtss versions 0.8.0 dated 2021-02-07 and 0.9.1 dated 2021-06-28
DESCRIPTION | 23 MD5 | 33 R/data.R |only R/wtss.R | 285 ++++--- R/wtss_pipe.R | 1 R/wtss_request.R | 14 R/wtss_time_series.R | 2 data |only inst/doc/Rwtss.html | 1611 ++++++++++++++++++++++++++++++++++++++++--- inst/extdata/ndvi_ts.rds |binary man/Rwtss-package.Rd | 4 man/describe_coverage.Rd | 5 man/dot-wtss_get_response.Rd | 4 man/dot-wtss_send_request.Rd | 4 man/list_coverages.Rd | 4 man/ndvi_ts.Rd |only man/pipe.Rd | 3 man/time_series.Rd | 20 tests/testthat/test_wtss.R | 3 19 files changed, 1728 insertions(+), 288 deletions(-)
Title: Extended Structural Equation Modelling
Description: Create structural equation models that can be manipulated programmatically.
Models may be specified with matrices or paths (LISREL or RAM)
Example models include confirmatory factor, multiple group, mixture
distribution, categorical threshold, modern test theory, differential
Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares.
equations, state space, and many others.
Support and advanced package binaries available at <http://openmx.ssri.psu.edu>.
The software is described in Neale, Hunter, Pritikin, Zahery, Brick,
Kirkpatrick, Estabrook, Bates, Maes, & Boker (2016) <doi:10.1007/s11336-014-9435-8>.
Author: Steven M. Boker [aut],
Michael C. Neale [aut],
Hermine H. Maes [aut],
Michael J. Wilde [ctb],
Michael Spiegel [aut],
Timothy R. Brick [aut],
Ryne Estabrook [aut],
Timothy C. Bates [aut],
Paras Mehta [ctb],
Timo von Oertzen [ctb],
Ross J. Gore [aut],
Michael D. Hunter [aut],
Daniel C. Hackett [ctb],
Julian Karch [ctb],
Andreas M. Brandmaier [ctb],
Joshua N. Pritikin [aut, cre],
Mahsa Zahery [aut],
Robert M. Kirkpatrick [aut],
Yang Wang [ctb],
Ben Goodrich [ctb],
Charles Driver [ctb],
Massachusetts Institute of Technology [cph],
S. G. Johnson [cph],
Association for Computing Machinery [cph],
Dieter Kraft [cph],
Stefan Wilhelm [cph],
Sarah Medland [cph],
Carl F. Falk [cph],
Matt Keller [cph],
Manjunath B G [cph],
The Regents of the University of California [cph],
Lester Ingber [cph],
Wong Shao Voon [cph],
Juan Palacios [cph],
Jiang Yang [cph],
Gael Guennebaud [cph],
Jitse Niesen [cph]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>
Diff between OpenMx versions 2.19.5 dated 2021-04-24 and 2.19.6 dated 2021-06-28
OpenMx-2.19.5/OpenMx/data/Bollen.txt |only OpenMx-2.19.5/OpenMx/data/HS.ability.data.txt |only OpenMx-2.19.5/OpenMx/data/Oscillator.txt |only OpenMx-2.19.5/OpenMx/data/demoOneFactor.csv |only OpenMx-2.19.5/OpenMx/data/demoTwoFactor.csv |only OpenMx-2.19.5/OpenMx/data/dzfData.txt |only OpenMx-2.19.5/OpenMx/data/dzmData.txt |only OpenMx-2.19.5/OpenMx/data/dzoData.txt |only OpenMx-2.19.5/OpenMx/data/example1.csv |only OpenMx-2.19.5/OpenMx/data/example2.csv |only OpenMx-2.19.5/OpenMx/data/factorExample1.csv |only OpenMx-2.19.5/OpenMx/data/factorScaleExample1.csv |only OpenMx-2.19.5/OpenMx/data/factorScaleExample2.csv |only OpenMx-2.19.5/OpenMx/data/latentMultipleRegExample1.csv |only OpenMx-2.19.5/OpenMx/data/latentMultipleRegExample2.csv |only OpenMx-2.19.5/OpenMx/data/lazarsfeld.csv |only OpenMx-2.19.5/OpenMx/data/multiData1.txt |only OpenMx-2.19.5/OpenMx/data/myAutoregressiveData.txt |only OpenMx-2.19.5/OpenMx/data/myFADataRaw.txt |only OpenMx-2.19.5/OpenMx/data/myGrowthKnownClassData.txt |only OpenMx-2.19.5/OpenMx/data/myGrowthMixtureData.txt |only OpenMx-2.19.5/OpenMx/data/myLongitudinalData.txt |only OpenMx-2.19.5/OpenMx/data/myRegData.txt |only OpenMx-2.19.5/OpenMx/data/myRegDataRaw.txt |only OpenMx-2.19.5/OpenMx/data/myTwinData.txt |only OpenMx-2.19.5/OpenMx/data/mzfData.txt |only OpenMx-2.19.5/OpenMx/data/mzmData.txt |only OpenMx-2.19.5/OpenMx/data/nuclear_twin_design_data.txt |only OpenMx-2.19.5/OpenMx/data/numHess1.txt |only OpenMx-2.19.5/OpenMx/data/numHess2.txt |only OpenMx-2.19.5/OpenMx/data/twin_NA_dot.txt |only OpenMx-2.19.6/OpenMx/DESCRIPTION | 17 OpenMx-2.19.6/OpenMx/MD5 | 320 +++++----- OpenMx-2.19.6/OpenMx/NAMESPACE | 3 OpenMx-2.19.6/OpenMx/NEWS.md | 17 OpenMx-2.19.6/OpenMx/R/MxAlgebraFunctions.R | 88 +- OpenMx-2.19.6/OpenMx/R/MxCompare.R | 128 +--- OpenMx-2.19.6/OpenMx/R/MxCompute.R | 14 OpenMx-2.19.6/OpenMx/R/MxFitFunctionMultigroup.R | 10 OpenMx-2.19.6/OpenMx/R/MxModelParameters.R | 74 +- OpenMx-2.19.6/OpenMx/R/MxOptions.R | 18 OpenMx-2.19.6/OpenMx/R/MxRAMModel.R | 11 OpenMx-2.19.6/OpenMx/R/MxRename.R | 26 OpenMx-2.19.6/OpenMx/R/MxRun.R | 36 - OpenMx-2.19.6/OpenMx/R/MxSummary.R | 5 OpenMx-2.19.6/OpenMx/R/MxUnitTesting.R | 6 OpenMx-2.19.6/OpenMx/R/MxVersion.R | 2 OpenMx-2.19.6/OpenMx/R/sysdata.rda |binary OpenMx-2.19.6/OpenMx/build/OpenMx.pdf |binary OpenMx-2.19.6/OpenMx/data/Bollen.txt.gz |only OpenMx-2.19.6/OpenMx/data/HS.ability.data.txt.gz |only OpenMx-2.19.6/OpenMx/data/Oscillator.txt.gz |only OpenMx-2.19.6/OpenMx/data/demoOneFactor.csv.gz |only OpenMx-2.19.6/OpenMx/data/demoTwoFactor.csv.gz |only OpenMx-2.19.6/OpenMx/data/dzfData.txt.gz |only OpenMx-2.19.6/OpenMx/data/dzmData.txt.gz |only OpenMx-2.19.6/OpenMx/data/dzoData.txt.gz |only OpenMx-2.19.6/OpenMx/data/example1.csv.gz |only OpenMx-2.19.6/OpenMx/data/example2.csv.gz |only OpenMx-2.19.6/OpenMx/data/factorExample1.csv.gz |only OpenMx-2.19.6/OpenMx/data/factorScaleExample1.csv.gz |only OpenMx-2.19.6/OpenMx/data/factorScaleExample2.csv.gz |only OpenMx-2.19.6/OpenMx/data/latentMultipleRegExample1.csv.gz |only OpenMx-2.19.6/OpenMx/data/latentMultipleRegExample2.csv.gz |only OpenMx-2.19.6/OpenMx/data/lazarsfeld.csv.gz |only OpenMx-2.19.6/OpenMx/data/multiData1.txt.gz |only OpenMx-2.19.6/OpenMx/data/myAutoregressiveData.txt.gz |only OpenMx-2.19.6/OpenMx/data/myFADataRaw.txt.gz |only OpenMx-2.19.6/OpenMx/data/myGrowthKnownClassData.txt.gz |only OpenMx-2.19.6/OpenMx/data/myGrowthMixtureData.txt.gz |only OpenMx-2.19.6/OpenMx/data/myLongitudinalData.txt.gz |only OpenMx-2.19.6/OpenMx/data/myRegData.txt.gz |only OpenMx-2.19.6/OpenMx/data/myRegDataRaw.txt.gz |only OpenMx-2.19.6/OpenMx/data/myTwinData.txt.gz |only OpenMx-2.19.6/OpenMx/data/mzfData.txt.gz |only OpenMx-2.19.6/OpenMx/data/mzmData.txt.gz |only OpenMx-2.19.6/OpenMx/data/nuclear_twin_design_data.txt.gz |only OpenMx-2.19.6/OpenMx/data/numHess1.txt.gz |only OpenMx-2.19.6/OpenMx/data/numHess2.txt.gz |only OpenMx-2.19.6/OpenMx/data/twin_NA_dot.txt.gz |only OpenMx-2.19.6/OpenMx/inst/CITATION | 2 OpenMx-2.19.6/OpenMx/inst/models/nightly/BootLRT.R | 5 OpenMx-2.19.6/OpenMx/inst/models/nightly/test-LatentAR-190605.R | 1 OpenMx-2.19.6/OpenMx/inst/models/passing/IntroSEM-MultivariateRegRaw.R | 56 + OpenMx-2.19.6/OpenMx/inst/models/passing/IntroSEM-OneFactorCov.R | 12 OpenMx-2.19.6/OpenMx/inst/models/passing/exoPredWLS2.R | 15 OpenMx-2.19.6/OpenMx/inst/models/passing/univACEP.R | 31 OpenMx-2.19.6/OpenMx/man/MxAlgebra-class.Rd | 3 OpenMx-2.19.6/OpenMx/man/MxBounds-class.Rd | 2 OpenMx-2.19.6/OpenMx/man/MxCI-class.Rd | 2 OpenMx-2.19.6/OpenMx/man/MxConstraint-class.Rd | 2 OpenMx-2.19.6/OpenMx/man/MxData-class.Rd | 2 OpenMx-2.19.6/OpenMx/man/MxExpectationGREML-class.Rd | 2 OpenMx-2.19.6/OpenMx/man/MxFitFunctionGREML-class.Rd | 2 OpenMx-2.19.6/OpenMx/man/MxMatrix-class.Rd | 2 OpenMx-2.19.6/OpenMx/man/MxModel-class.Rd | 2 OpenMx-2.19.6/OpenMx/man/demoOneFactor_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/demoTwoFactor_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/example1_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/factorExample1_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/factorScaleExample1_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/factorScaleExample2_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/jointdata_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/latentMultipleRegExample1_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/latentMultipleRegExample2_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/lazarsfeld_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/multiData1_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxAlgebra.Rd | 38 - OpenMx-2.19.6/OpenMx/man/mxAlgebraObjective.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxBootstrapEval.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxBounds.Rd | 3 OpenMx-2.19.6/OpenMx/man/mxCI.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxCompare.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxComputeCheckpoint.Rd | 8 OpenMx-2.19.6/OpenMx/man/mxConstraint.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxData.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxDataWLS.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxEval.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxExpectationGREML.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxExpectationLISREL.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxExpectationNormal.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxExpectationRAM.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxExpectationStateSpace.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxExpectationStateSpaceContinuousTime.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxFIMLObjective.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxFactor.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxFactorScores.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxFitFunctionAlgebra.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxFitFunctionGREML.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxFitFunctionML.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxFitFunctionR.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxFitFunctionRow.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxFitFunctionWLS.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxGREMLDataHandler.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxGenerateData.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxGetExpected.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxKalmanScores.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxLISRELObjective.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxMI.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxMLObjective.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxMatrix.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxModel.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxOption.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxPath.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxRAMObjective.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxRObjective.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxRename.Rd | 27 OpenMx-2.19.6/OpenMx/man/mxRestore.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxRowObjective.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxSave.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxThreshold.Rd | 2 OpenMx-2.19.6/OpenMx/man/mxVersion.Rd | 2 OpenMx-2.19.6/OpenMx/man/myAutoregressiveData_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/myGrowthKnownClassData_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/myGrowthMixtureData_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/myLongitudinalData_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/myRegDataRaw_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/myRegData_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/myTwinData_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/nuclear_twin_design_data.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxBrownie.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxCheckCloseEnough.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxCheckEquals.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxCheckError.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxCheckIdentical.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxCheckSetEquals.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxCheckTrue.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxCheckWarning.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxCheckWithinPercentError.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxGraphviz.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxLocateParameters.Rd | 15 OpenMx-2.19.6/OpenMx/man/omxSaturatedModel.Rd | 2 OpenMx-2.19.6/OpenMx/man/omxSelectRowsAndCols.Rd | 2 OpenMx-2.19.6/OpenMx/man/summary.MxModel.Rd | 2 OpenMx-2.19.6/OpenMx/man/twin_NA_dot_data.Rd | 2 OpenMx-2.19.6/OpenMx/src/AlgebraFunctions.h | 21 OpenMx-2.19.6/OpenMx/src/Compute.cpp | 134 +++- OpenMx-2.19.6/OpenMx/src/Makevars.in | 7 OpenMx-2.19.6/OpenMx/src/Makevars.win | 4 OpenMx-2.19.6/OpenMx/src/ba81quad.cpp | 14 OpenMx-2.19.6/OpenMx/src/ba81quad.h | 2 OpenMx-2.19.6/OpenMx/src/omxData.cpp | 78 ++ OpenMx-2.19.6/OpenMx/src/omxData.h | 4 OpenMx-2.19.6/OpenMx/src/omxMatrix.cpp | 25 OpenMx-2.19.6/OpenMx/src/omxMatrix.h | 3 OpenMx-2.19.6/OpenMx/src/omxSymbolTable.cpp | 1 OpenMx-2.19.6/OpenMx/src/omxSymbolTable.h | 1 OpenMx-2.19.6/OpenMx/tests/testthat/test-AlgebraComputePassing.R | 3 OpenMx-2.19.6/OpenMx/tests/testthat/test-ModelIdentification.R | 6 OpenMx-2.19.6/OpenMx/tests/testthat/test-mxsave.R | 9 OpenMx-2.19.6/OpenMx/tests/testthat/test-naAction.R | 15 OpenMx-2.19.6/OpenMx/tools/travis/install-osx | 3 192 files changed, 933 insertions(+), 552 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-09-22 0.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-11-15 1.1.0
2020-09-30 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2011-12-13 0.6.5
2011-12-12 0.6.3
2011-10-28 0.6.2
2011-08-13 0.5.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-05-05 3.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-11-19 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-11-12 1.2.3
2020-06-24 1.2.2
2020-06-22 1.2.1
2020-06-14 1.2.0
2020-03-30 1.1.7
2019-11-27 1.1.6
2019-03-08 1.1.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-09-21 0.2.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-06-03 3.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-06-11 0.9.16
2021-04-28 0.9.15
2020-01-07 0.9.14
2018-11-05 0.9.13
2018-02-13 0.9.12
2017-12-14 0.9.11
2017-04-05 0.9.10
2016-12-16 0.9.9
Title: Power Analysis to Detect Spatial Relative Risk Clusters
Description: Calculate the statistical power to detect clusters using kernel-based
spatial relative risk functions that are estimated using the 'sparr' package.
Details about the 'sparr' package methods can be found in the tutorial: Davies
et al. (2018) <doi:10.1002/sim.7577>. Details about kernel density estimation
can be found in J. F. Bithell (1990) <doi:10.1002/sim.4780090616>. More
information about relative risk functions using kernel density estimation can
be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.
Author: Ian D. Buller [aut, cre, cph] (<https://orcid.org/0000-0001-9477-8582>),
Derek W. Brown [aut, cph] (<https://orcid.org/0000-0001-8393-1713>),
Mitchell J. Machiela [ctb] (<https://orcid.org/0000-0001-6538-9705>),
Timothy A. Myers [ctb],
NCI [cph, fnd]
Maintainer: Ian D. Buller <ian.buller@nih.gov>
Diff between sparrpowR versions 0.2.1 dated 2021-03-16 and 0.2.2 dated 2021-06-28
DESCRIPTION | 9 ++++----- MD5 | 15 ++++++++------- NEWS.md | 6 ++++++ build/partial.rdb |binary inst/CITATION |only inst/doc/vignette.html | 19 +++++++++++++------ man/jitter_power.Rd | 6 +++--- man/spatial_power.Rd | 6 +++--- vignettes/vignette.Rmd | 2 +- 9 files changed, 38 insertions(+), 25 deletions(-)
Title: Profile R Code and Visualize with 'Pprof'
Description: Like similar profiling tools,
the 'proffer' package automatically detects
sources of slowness in R code.
The distinguishing feature of 'proffer' is its utilization of
'pprof', which supplies interactive visualizations
that are efficient and easy to interpret.
Behind the scenes, the 'profile' package converts
native Rprof() data to a protocol buffer
that 'pprof' understands.
For the documentation of 'proffer',
visit <https://r-prof.github.io/proffer/>.
To learn about the implementations and methodologies of
'pprof', 'profile', and protocol buffers,
visit <https://github.com/google/pprof>.
<https://developers.google.com/protocol-buffers>,
and <https://github.com/r-prof/profile>, respectively.
Author: William Michael Landau [aut, cre]
(<https://orcid.org/0000-0003-1878-3253>),
Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Diff between proffer versions 0.1.1 dated 2021-01-04 and 0.1.3 dated 2021-06-28
DESCRIPTION | 8 +++---- MD5 | 40 +++++++++++++++++++------------------- NEWS.md | 9 ++++++++ R/package.R | 4 +-- R/path.R | 2 - R/pprof.R | 16 ++++++++------- R/record.R | 8 +++++++ R/utils.R | 10 --------- man/pprof.Rd | 2 - man/pprof_path.Rd | 2 - man/proffer-package.Rd | 4 +-- man/random_port.Rd | 3 ++ man/record_pprof.Rd | 2 + man/record_rprof.Rd | 2 + man/serve_pprof.Rd | 2 - man/serve_rprof.Rd | 2 - man/test_pprof.Rd | 2 - man/to_pprof.Rd | 2 + man/to_rprof.Rd | 2 + tests/testthat/test-utils.R | 12 ++--------- tests/testthat/test-zzz-install.R | 6 +++++ 21 files changed, 81 insertions(+), 59 deletions(-)
Title: HTML Metadata Tags for 'R Markdown' and 'Shiny'
Description: Create meta tags for 'R Markdown' HTML documents and 'Shiny'
apps for customized social media cards, for accessibility, and quality
search engine indexing. 'metathis' currently supports HTML documents
created with 'rmarkdown', 'shiny', 'xaringan', 'pagedown', 'bookdown',
and 'flexdashboard'.
Author: Garrick Aden-Buie [aut, cre] (<https://orcid.org/0000-0002-7111-0077>)
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Diff between metathis versions 1.0.3 dated 2020-09-10 and 1.1.0 dated 2021-06-28
DESCRIPTION | 20 ++++++------ MD5 | 40 +++++++++++++------------ NAMESPACE | 1 NEWS.md | 10 ++++++ R/google_scholar.R |only R/meta.R | 2 - R/social.R | 2 - README.md | 19 +++++++---- man/meta.Rd | 1 man/meta_apple_itunes_app.Rd | 1 man/meta_apple_web_app.Rd | 1 man/meta_general.Rd | 1 man/meta_geo.Rd | 1 man/meta_google_scholar.Rd |only man/meta_name.Rd | 1 man/meta_social.Rd | 1 man/meta_tag.Rd | 1 man/meta_viewport.Rd | 1 man/metathis-package.Rd | 11 +++--- tests/testthat/rmd/test-not-self-contained.Rmd |only tests/testthat/test-blogdown.R | 10 +++--- tests/testthat/test-google_scholar.R |only tests/testthat/test-rmd.R | 28 ++++++++++++++++- 23 files changed, 104 insertions(+), 48 deletions(-)
Title: Bayesian Modelling of Raman Spectroscopy
Description: Sequential Monte Carlo (SMC) algorithms for fitting a generalised additive
mixed model (GAMM) to surface-enhanced resonance Raman spectroscopy (SERRS),
using the method of Moores et al. (2016) <arXiv:1604.07299>. Multivariate
observations of SERRS are highly collinear and lend themselves to a reduced-rank
representation. The GAMM separates the SERRS signal into three components: a
sequence of Lorentzian, Gaussian, or pseudo-Voigt peaks; a smoothly-varying baseline;
and additive white noise. The parameters of each component of the model are estimated
iteratively using SMC. The posterior distributions of the parameters given the observed
spectra are represented as a population of weighted particles.
Author: Matt Moores [aut, cre] (<https://orcid.org/0000-0003-4531-3572>),
Jake Carson [aut] (<https://orcid.org/0000-0002-7896-0971>),
Benjamin Moskowitz [ctb],
Kirsten Gracie [dtc],
Karen Faulds [dtc] (<https://orcid.org/0000-0002-5567-7399>),
Mark Girolami [aut],
Engineering and Physical Sciences Research Council [fnd] (EPSRC
programme grant ref: EP/L014165/1),
University of Warwick [cph]
Maintainer: Matt Moores <mmoores@gmail.com>
Diff between serrsBayes versions 0.4-2 dated 2021-06-07 and 0.5-0 dated 2021-06-28
DESCRIPTION | 10 - MD5 | 37 ++-- NAMESPACE | 2 NEWS.md | 142 ++++++++++-------- R/RcppExports.R | 15 + R/fitVoigtIBIS.R | 2 R/fitVoigtPeaksSMC.R | 46 +++-- README.md | 10 - build/partial.rdb |binary data/result.rda |binary inst/doc/Introduction.R | 13 + inst/doc/Introduction.Rmd | 351 ++++++++++++++++++++++----------------------- inst/doc/Introduction.html | 335 +++++++++++++++++++++--------------------- inst/doc/Methanol.html | 8 - man/fitVoigtIBIS.Rd | 7 man/fitVoigtPeaksSMC.Rd | 5 man/sumDexp.Rd |only src/RcppExports.cpp | 13 + src/mixVoigt.cpp | 47 +++++- vignettes/Introduction.Rmd | 351 ++++++++++++++++++++++----------------------- 20 files changed, 748 insertions(+), 646 deletions(-)
Title: Estimations using Conley Standard Errors
Description: Merges and extends multiple packages and other published scripts calculating Conley (1999) <doi:10.1016/S0304-4076(98)00084-0> standard errors. Details are
available in the function documentation and in the vignette.
Author: Christian Düben [aut, cre],
Richard Bluhm [cph],
Luis Calderon [cph],
Darin Christensen [cph],
Timothy Conley [cph],
Thiemo Fetzer [cph],
Leander Heldring [cph]
Maintainer: Christian Düben <christian.dueben@uni-hamburg.de>
Diff between conleyreg versions 0.1.3 dated 2021-06-11 and 0.1.4 dated 2021-06-28
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 6 ++++-- R/conleyreg.R | 2 +- build/partial.rdb |binary 5 files changed, 12 insertions(+), 10 deletions(-)
Title: Adaptive Optimal Two-Stage Designs in R
Description: Optimize one or two-arm, two-stage designs for clinical trials with
respect to several pre-implemented objective criteria or implement custom
objectives.
Optimization under uncertainty and conditional (given stage-one outcome)
constraints are supported.
See <doi:10.1002/sim.8291> and <doi:10.18637/jss.v098.i09> for details.
Author: Kevin Kunzmann [aut, cre] (<https://orcid.org/0000-0002-1140-7143>),
Maximilian Pilz [aut] (<https://orcid.org/0000-0002-9685-1613>)
Maintainer: Kevin Kunzmann <kevin.kunzmann@mrc-bsu.cam.ac.uk>
Diff between adoptr versions 0.4.2 dated 2021-05-28 and 1.0.0 dated 2021-06-28
DESCRIPTION | 12 +++++------- MD5 | 19 ++++++++++--------- NEWS.md | 8 ++++++++ R/adoptr.R | 6 +++--- README.md | 1 - inst/CITATION |only inst/doc/adoptr.html | 4 ++-- inst/doc/adoptr_jss.html | 6 +++--- man/adoptr.Rd | 6 +++--- tests/testthat/Rplots.pdf |binary vignettes/structure.png |binary 11 files changed, 34 insertions(+), 28 deletions(-)
Title: Fast Reader for 'Wavefront' OBJ 3D Scene Files
Description: Wraps 'tiny_obj_loader' C++ library for reading the 'Wavefront' OBJ
3D file format including both mesh objects and materials files. The
resultant R objects are either structured to match the 'tiny_obj_loader'
internal data representation or in a form directly compatible with the 'rgl'
package.
Author: Gregory Jefferis [aut, cph, cre]
(<https://orcid.org/0000-0002-0587-9355>),
Syoyo Fujita [aut, cph] (tiny_obj_loader.* are copyright Syoyo Fujita),
Trevor L Davis [aut]
Maintainer: Gregory Jefferis <jefferis@gmail.com>
Diff between readobj versions 0.3.2 dated 2019-03-11 and 0.4.0 dated 2021-06-28
DESCRIPTION | 19 MD5 | 43 NEWS.md | 18 R/RcppExports.R | 4 R/loadobj.R | 66 R/mesh3d.R | 78 + R/tinyobjloader.R | 11 README.md | 20 inst/WORDLIST |only inst/obj/mixed.wavefront |only inst/obj/pawn.mtl |only inst/obj/pawn.png |only inst/obj/pawn.wavefront |only inst/obj/tile.mtl |only inst/obj/tile.png |only inst/obj/tile.wavefront |only man/read.obj.Rd | 63 man/readobj-package.Rd | 11 src/RcppExports.cpp | 9 src/loadobj.cpp | 108 + src/tiny_obj_loader.cc | 885 ------------ src/tiny_obj_loader.h | 2553 ++++++++++++++++++++++++++++++++++++- tests/spelling.R |only tests/testthat/test-loadobj.R | 46 tests/testthat/testdata/cube.rds |binary tests/testthat/testdata/cubesl.rds |binary tests/testthat/testdata/tile.rds |only tests/testthat/testdata/tilesl.rds |only 28 files changed, 2888 insertions(+), 1046 deletions(-)
Title: Model Butcher
Description: Provides a set of five S3 generics to axe
components of fitted model objects and help reduce the size of model
objects saved to disk.
Author: Joyce Cahoon [aut] (<https://orcid.org/0000-0001-7217-4702>),
Davis Vaughan [aut, cre],
Max Kuhn [aut],
Alex Hayes [aut]
Maintainer: Davis Vaughan <davis@rstudio.com>
Diff between butcher versions 0.1.4 dated 2021-03-19 and 0.1.5 dated 2021-06-28
DESCRIPTION | 9 MD5 | 26 - NAMESPACE | 60 --- NEWS.md | 6 R/multnet.R | 4 R/recipe.R | 592 +----------------------------------- build/butcher.pdf |binary build/vignette.rds |binary inst/doc/available-axe-methods.html | 482 ----------------------------- inst/doc/butcher.html | 11 man/axe-multnet.Rd | 4 man/axe-recipe.Rd | 202 ------------ tests/testthat/test-multnet.R | 2 tests/testthat/test-recipe.R | 14 14 files changed, 70 insertions(+), 1342 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-03-27 0.0.2
2018-04-05 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-06-06 0.5.5
2021-01-28 0.5.4
2020-03-23 0.5.3
2019-05-01 0.5.2
2019-02-19 0.5.1
2019-01-30 0.5.0
Title: Lightweight Access to the 'Geospatial Data Abstraction Library'
('GDAL')
Description: Provides low-level access to 'GDAL' functionality for R packages. The aim is to minimize
the level of interpretation put on the 'GDAL' facilities, to enable direct use of it for a variety of purposes.
'GDAL' is the 'Geospatial Data Abstraction Library' a translator for raster and vector geospatial data formats
that presents a single raster abstract data model and single vector abstract data model to the calling application
for all supported formats <https://gdal.org/>. Other available packages 'rgdal' and 'sf' also provide access to
the 'GDAL' library, but neither can be used for these lower level tasks, and both do many other tasks.
Author: Michael Sumner [aut, cre] (<https://orcid.org/0000-0002-2471-7511>),
Simon Wotherspoon [ctb] (figured out the mechanism for the resampling
algorithm),
Mark Padgham [ctb] (helped get started :)),
Edzer Pebesma [ctb] (wrote allocate_attribute, copied here from sf),
Roger Bivand [ctb] (wrote configure.ac, adapted here from rgdal),
Jim Hester [ctb] (wrote CollectorList.h, copied here from fs package),
Timothy Keitt [ctb] (wrote GetPointsInternal copied here from rgdal2
package),
Jeroen Ooms [ctb] (tweaked build process, provided Windows build tools),
Dale Maschette [ctb] (created the hex logo),
Joseph Stachelek [ctb],
Even Rouault [ctb] (primary author of the COG format and its use of the
GDALwarp app-library, example code used by the warper function
here),
Robert Hijmans [ctb] (wrote some source in the warper, terra package
used as example/inspiration)
Maintainer: Michael Sumner <mdsumner@gmail.com>
Diff between vapour versions 0.5.5 dated 2020-06-23 and 0.6.5 dated 2021-06-28
vapour-0.5.5/vapour/R/vapour-helpers.R |only vapour-0.5.5/vapour/inst/include/gdalheaders |only vapour-0.5.5/vapour/src/CollectorList.h |only vapour-0.5.5/vapour/src/VSIReadDirEx.cpp |only vapour-0.5.5/vapour/src/binary-geom.cpp |only vapour-0.5.5/vapour/src/contourize.cpp |only vapour-0.5.5/vapour/src/gdal_utils.cpp |only vapour-0.5.5/vapour/src/init.c |only vapour-0.5.5/vapour/src/raster_warp.cpp |only vapour-0.5.5/vapour/src/rasterio.cpp |only vapour-0.5.5/vapour/src/sds_io.cpp |only vapour-0.5.5/vapour/src/srs.cpp |only vapour-0.6.5/vapour/DESCRIPTION | 21 vapour-0.6.5/vapour/MD5 | 104 - vapour-0.6.5/vapour/NAMESPACE | 3 vapour-0.6.5/vapour/NEWS.md | 46 vapour-0.6.5/vapour/R/RcppExports.R | 136 + vapour-0.6.5/vapour/R/raster-info.R | 19 vapour-0.6.5/vapour/R/raster-input.R | 205 +- vapour-0.6.5/vapour/R/vapour-gdal-library.R |only vapour-0.6.5/vapour/R/vapour-package.R | 9 vapour-0.6.5/vapour/R/vapour_input_attributes.R | 42 vapour-0.6.5/vapour/R/vapour_input_geometry.R | 28 vapour-0.6.5/vapour/R/vapour_vsi_list.R | 19 vapour-0.6.5/vapour/R/zzz.R | 3 vapour-0.6.5/vapour/README.md | 188 -- vapour-0.6.5/vapour/build/vignette.rds |binary vapour-0.6.5/vapour/configure | 65 vapour-0.6.5/vapour/configure.ac | 50 vapour-0.6.5/vapour/inst/WORDLIST | 25 vapour-0.6.5/vapour/inst/doc/feature-access.R |only vapour-0.6.5/vapour/inst/doc/feature-access.Rmd |only vapour-0.6.5/vapour/inst/doc/feature-access.html |only vapour-0.6.5/vapour/inst/doc/vapour.html | 765 +++------ vapour-0.6.5/vapour/inst/extdata/vsi |only vapour-0.6.5/vapour/inst/include/gdalgeometry/gdalgeometry.h | 91 - vapour-0.6.5/vapour/inst/include/gdallibrary |only vapour-0.6.5/vapour/inst/include/gdalmiscutils |only vapour-0.6.5/vapour/inst/include/gdalwarpmem |only vapour-0.6.5/vapour/inst/warpsandbox |only vapour-0.6.5/vapour/inst/wms |only vapour-0.6.5/vapour/man/GDAL-library.Rd | 10 vapour-0.6.5/vapour/man/vapour-package.Rd | 9 vapour-0.6.5/vapour/man/vapour_geom_name.Rd |only vapour-0.6.5/vapour/man/vapour_geom_summary.Rd | 2 vapour-0.6.5/vapour/man/vapour_layer_names.Rd | 4 vapour-0.6.5/vapour/man/vapour_raster_gcp.Rd | 5 vapour-0.6.5/vapour/man/vapour_raster_info.Rd | 4 vapour-0.6.5/vapour/man/vapour_read_geometry.Rd | 15 vapour-0.6.5/vapour/man/vapour_read_names.Rd | 3 vapour-0.6.5/vapour/man/vapour_report_attributes.Rd | 3 vapour-0.6.5/vapour/man/vapour_sds_names.Rd | 4 vapour-0.6.5/vapour/man/vapour_srs_wkt.Rd | 5 vapour-0.6.5/vapour/man/vapour_vsi_list.Rd | 17 vapour-0.6.5/vapour/man/vapour_warp_raster.Rd |only vapour-0.6.5/vapour/src/00headers_dirigible.cpp |only vapour-0.6.5/vapour/src/00headers_read_fids.cpp |only vapour-0.6.5/vapour/src/Makevars.in | 1 vapour-0.6.5/vapour/src/Makevars.win | 11 vapour-0.6.5/vapour/src/RcppExports.cpp | 513 +++++- vapour-0.6.5/vapour/src/vapour.cpp | 885 ----------- vapour-0.6.5/vapour/tests/testthat/test-features.R | 33 vapour-0.6.5/vapour/tests/testthat/test-helpers.R | 11 vapour-0.6.5/vapour/tests/testthat/test-limit_skip_n.R | 10 vapour-0.6.5/vapour/tests/testthat/test-warper.R |only vapour-0.6.5/vapour/vignettes/feature-access.Rmd |only 66 files changed, 1504 insertions(+), 1860 deletions(-)
Title: Testing and Plotting Procedures for Biostatistics
Description: Contains miscellaneous functions useful in biostatistics, mostly univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions intend to simplify user's life by shortening existing procedures or by implementing plotting functions that can be used with as many methods from different packages as possible.
Author: Maxime Herv<e9>
Maintainer: Maxime Herv<e9> <maxime.herve@univ-rennes1.fr>
Diff between RVAideMemoire versions 0.9-79 dated 2021-01-27 and 0.9-80 dated 2021-06-28
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS | 3 +++ R/fisher.bintest.R | 2 +- R/zzz.R | 2 +- man/RVAideMemoire-package.Rd | 4 ++-- 6 files changed, 16 insertions(+), 13 deletions(-)
Title: Unified Interface to Parallelization Back-Ends
Description: Unified parallelization framework for multiple
back-end, designed for internal package and interactive usage. The
main operation is parallel mapping over lists. Supports 'local',
'multicore', 'mpi' and 'BatchJobs' mode. Allows tagging of the
parallel operation with a level name that can be later selected by the
user to switch on parallel execution for exactly this operation.
Author: Bernd Bischl [cre, aut],
Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>),
Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Bernd Bischl <bernd_bischl@gmx.net>
Diff between parallelMap versions 1.5.0 dated 2020-03-26 and 1.5.1 dated 2021-06-28
DESCRIPTION | 13 ++++++------- MD5 | 16 ++++++++-------- NEWS.md | 8 ++++++++ R/parallelRegisterLevels.R | 2 +- R/parallelStart.R | 38 ++++++++++++++++++++++---------------- R/parallelStop.R | 3 ++- man/parallelRegisterLevels.Rd | 2 +- man/parallelStart.Rd | 16 ++++++++-------- man/parallelStop.Rd | 2 +- 9 files changed, 57 insertions(+), 43 deletions(-)
More information about MultivariateAnalysis at CRAN
Permanent link
Title: Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Description: General purpose TIFF file I/O for R users. Currently the
only such package with read and write support for TIFF files with
floating point (real-numbered) pixels, and the only package that can
correctly import TIFF files that were saved from 'ImageJ' and write
TIFF files than can be correctly read by 'ImageJ'
<https://imagej.nih.gov/ij/>. Also supports text image I/O.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>),
Kent Johnson [aut],
Simon Urbanek [ctb],
Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>),
Jeroen Ooms [rev, ctb] (<https://orcid.org/0000-0002-4035-0289>),
Jon Clayden [rev] (<https://orcid.org/0000-0002-6608-0619>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between ijtiff versions 2.2.6 dated 2021-04-20 and 2.2.7 dated 2021-06-28
DESCRIPTION | 16 - MD5 | 23 +- NEWS.md | 6 inst/doc/reading-and-writing-images.html | 345 +++++++------------------------ inst/doc/text-images.html | 187 ---------------- inst/doc/the-imagej-problem.html | 283 ++++--------------------- src/Makevars.ucrt |only src/Makevars.win | 3 src/common.c | 24 +- src/common.h | 5 src/read.c | 4 src/write.c | 4 tools/winlibs.R | 4 13 files changed, 188 insertions(+), 716 deletions(-)
Title: Visualising Single-Cell Trajectories
Description: Visualise a single-cell trajectory as a graph or dendrogram,
as a dimensionality reduction or heatmap of the expression data,
or a comparison between two trajectories as a pairwise scatterplot
or dimensionality reduction projection. Saelens and Cannoodt et
al. (2019) <doi:10.1038/s41587-019-0071-9>.
Author: Robrecht Cannoodt [aut, cre, cph]
(<https://orcid.org/0000-0003-3641-729X>),
Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>
Diff between dynplot versions 1.1.0 dated 2021-06-21 and 1.1.1 dated 2021-06-28
DESCRIPTION | 6 +- MD5 | 12 ++--- NAMESPACE | 1 NEWS.md | 6 ++ R/package.R | 2 R/project_waypoints.R | 93 +++++++++++++++++++------------------------ inst/doc/plotting-a-toy.html | 4 - 7 files changed, 61 insertions(+), 63 deletions(-)
Title: Measurement Error Modelling using MCEM
Description: Fits measurement error models using Monte Carlo Expectation Maximization (MCEM). For specific details on the methodology, see: Greg C. G. Wei & Martin A. Tanner (1990) A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, 85:411, 699-704 <doi:10.1080/01621459.1990.10474930> For more examples on measurement error modelling using MCEM, see the 'RMarkdown' vignette: "'refitME' R-package tutorial".
Author: Jakub Stoklosa [aut, cre] (<https://orcid.org/0000-0002-6523-4524>),
Wenhan Hwang [aut, ctb],
David Warton [aut, ctb]
Maintainer: Jakub Stoklosa <j.stoklosa@unsw.edu.au>
Diff between refitME versions 1.2.0 dated 2021-04-26 and 1.2.1 dated 2021-06-28
DESCRIPTION | 21 MD5 | 28 R/refitME_package.R | 4185 ++++++++++++++++---------------- inst/JSS_Replication_Code_Examples.R | 15 inst/JSS_Replication_Code_Simulations.R | 339 +- inst/MCEM_prog.R | 4 inst/refitME_tutorial.Rmd | 22 inst/refitME_tutorial.log | 1022 +++---- inst/refitME_tutorial.pdf |binary man/MCEMfit_CR.Rd | 2 man/MCEMfit_gam.Rd | 4 man/MCEMfit_gen.Rd | 6 man/MCEMfit_glm.Rd | 2 man/refitME.Rd | 12 man/wt.var.Rd | 5 15 files changed, 2756 insertions(+), 2911 deletions(-)
Title: Functions for Text Mining and Topic Modeling
Description: An aid for text mining in R, with a syntax that
should be familiar to experienced R users. Provides a wrapper for several
topic models that take similarly-formatted input and give similarly-formatted
output. Has additional functionality for analyzing and diagnostics for
topic models.
Author: Tommy Jones [aut, cre],
William Doane [ctb],
Mattias Attbom [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>
Diff between textmineR versions 3.0.4 dated 2019-04-18 and 3.0.5 dated 2021-06-28
DESCRIPTION | 20 MD5 | 89 +- NEWS.md | 22 R/corpus_functions.R | 15 R/topic_modeling_core.R | 32 R/topic_modeling_utilities.R | 25 README.md | 9 build/vignette.rds |binary inst/WORDLIST |only inst/doc/a_start_here.R | 70 +- inst/doc/a_start_here.Rmd | 2 inst/doc/a_start_here.html | 1078 ++++++++++++++----------------- inst/doc/b_document_clustering.R | 24 inst/doc/b_document_clustering.Rmd | 2 inst/doc/b_document_clustering.html | 48 - inst/doc/c_topic_modeling.R | 54 - inst/doc/c_topic_modeling.Rmd | 4 inst/doc/c_topic_modeling.html | 376 ++++++---- inst/doc/d_text_embeddings.R | 24 inst/doc/d_text_embeddings.Rmd | 2 inst/doc/d_text_embeddings.html | 254 +++---- inst/doc/e_doc_summarization.R | 18 inst/doc/e_doc_summarization.html | 52 + inst/doc/f_tidytext_example.R | 4 inst/doc/f_tidytext_example.html | 44 - man/CreateDtm.Rd | 17 man/CreateTcm.Rd | 17 man/FitCtmModel.Rd | 41 + man/FitLdaModel.Rd | 16 man/GetTopTerms.Rd | 8 man/SummarizeTopics.Rd | 2 man/TermDocFreq.Rd | 11 man/TmParallelApply.Rd | 10 man/figures/textmineR_v8.png |only man/nih.Rd | 4 man/posterior.lda_topic_model.Rd | 5 man/predict.lda_topic_model.Rd | 10 man/textmineR.Rd | 1 man/update.lda_topic_model.Rd | 18 src/HellingerMat.cpp | 2 src/JSDmat.cpp | 2 tests/spelling.R |only tests/testthat/test-distance_functions.R | 49 + vignettes/a_start_here.Rmd | 2 vignettes/b_document_clustering.Rmd | 2 vignettes/c_topic_modeling.Rmd | 4 vignettes/d_text_embeddings.Rmd | 2 47 files changed, 1358 insertions(+), 1133 deletions(-)
Title: Convert R Objects from One Structure to Another
Description: Offers a suite of functions for converting to and from
(atomic) vectors, matrices, data.frames, and (3D+) arrays as well
as lists of these objects. It is an alternative to the base R
as.<str>.<method>() functions (e.g., as.data.frame.array()) that
provides more useful and/or flexible restructuring of R objects.
To do so, it only works with common structuring of R objects (e.g.,
data.frames with only atomic vector columns).
Author: David Disabato [aut, cre]
Maintainer: David Disabato <ddisab01@gmail.com>
Diff between str2str versions 0.1.1 dated 2021-02-01 and 0.2.0 dated 2021-06-28
DESCRIPTION | 9 MD5 | 31 - NAMESPACE | 10 R/str2str_functions.R | 1086 +++++++++++++++++++++++++++++++++++++++++++---- man/Join.Rd |only man/a2d.Rd | 33 + man/abind-set.Rd |only man/cbind-set.Rd | 4 man/cbind_fill.Rd |only man/cbind_fill_matrix.Rd |only man/d2a.Rd | 101 +++- man/d2m.Rd | 3 man/dimlabels-set.Rd |only man/is.Date.Rd |only man/is.POSIXct.Rd |only man/ld2d.Rd | 2 man/stack2.Rd | 27 - man/str2str.Rd | 41 - man/undimlabel.Rd |only man/undimname.Rd |only man/unstack2.Rd | 40 + 21 files changed, 1227 insertions(+), 160 deletions(-)
Title: Mixed-Effect Models, Particularly Spatial Models
Description: Inference based on mixed-effect models, including generalized linear mixed models with spatial correlations, multivariate responses, and models with non-Gaussian random effects (e.g., Beta). Various approximations of likelihood or restricted likelihood are implemented, in particular Laplace approximation and h-likelihood (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>). Both classical geostatistical models, and Markov random field models on irregular grids (as considered in the 'INLA' package, <https://www.r-inla.org>), can be fitted. Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model.
Author: François Rousset [aut, cre, cph]
(<https://orcid.org/0000-0003-4670-0371>),
Jean-Baptiste Ferdy [aut, cph],
Alexandre Courtiol [aut] (<https://orcid.org/0000-0003-0637-2959>),
GSL authors [ctb] (src/gsl_bessel.*)
Maintainer: François Rousset <francois.rousset@umontpellier.fr>
Diff between spaMM versions 3.8.0 dated 2021-06-02 and 3.8.9 dated 2021-06-28
DESCRIPTION | 12 +-- MD5 | 53 +++++++++-------- R/corrHLfit_body.R | 2 R/dofuture.R |only R/fit_as_sparsePrecision.R | 2 R/fitme_body.R | 6 - R/fitmecorrHLfit_body_internals.R | 51 ++++++++++------ R/fitmv_body.R | 2 R/geo_info.R | 2 R/get_inits_by_glm.R | 1 R/preprocess.R | 8 -- R/preprocess_MV.R | 2 R/spaMM.data.R | 1 R/spaMM_boot.R | 106 +++++++++++++++++++++++------------ build/partial.rdb |binary data/adjlg.RData |binary inst/NEWS.Rd | 21 ++++++ man/HLfit.Rd | 2 man/adjlg.Rd | 12 +++ man/corrHLfit.Rd | 2 man/dofuture.Rd |only man/dopar.Rd | 14 ++-- man/fitme.Rd | 2 man/spaMM_boot.Rd | 4 - man/wrap_parallel.Rd |only tests/testthat/test-LRT-boot.R | 8 +- tests/testthat/test-Rasch.R | 6 - tests/testthat/test-adjacency-long.R | 4 - tests/testthat/test-cAIC.R | 1 29 files changed, 201 insertions(+), 123 deletions(-)
Title: Lookup for IP Address Proxy Information
Description: A R package to find the IP addresses which are used as VPN anonymizer, open proxies, web proxies and Tor exits.
The package lookup the proxy IP address from IP2Proxy BIN Data file. You may visit <https://lite.ip2location.com> for free database download.
Author: IP2Location
Maintainer: IP2Location <support@ip2location.com>
Diff between ip2proxy versions 1.0.0 dated 2020-11-10 and 1.0.1 dated 2021-06-28
DESCRIPTION | 7 +++---- MD5 | 6 +++--- R/IP2Proxy.r | 2 +- man/get_all.Rd | 2 +- 4 files changed, 8 insertions(+), 9 deletions(-)
Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and
statistical computing in R that is extremely fast, flexible and
parsimonious to code with, class-agnostic and programmer friendly.
It is well integrated with base R, 'dplyr' / (grouped) 'tibble',
'data.table', 'plm' (panel-series and data frames), 'sf' data frames, and
non-destructively handles other matrix or data frame based classes (such as
'ts', 'xts' / 'zoo', 'timeSeries', 'tsibble', 'tibbletime' etc.)
--- Key Features: ---
(1) Advanced statistical programming: A full set of fast statistical functions
supporting grouped and weighted computations on vectors, matrices and
data frames. Fast and programmable grouping, ordering, unique values / rows,
factor generation and interactions. Fast and flexible functions for data
manipulation and data object conversions.
(2) Advanced aggregation: Fast and easy multi-data-type, multi-function,
weighted, parallelized and fully customized data aggregation.
(3) Advanced transformations: Fast row / column arithmetic, (grouped) replacing
and sweeping out of statistics, (grouped, weighted) scaling / standardizing,
between (averaging) and (quasi-)within (centering / demeaning) transformations,
higher-dimensional centering (i.e. multiple fixed effects transformations),
linear prediction / partialling-out, linear model fitting and testing.
(4) Advanced time-computations: Fast (sequences of) lags / leads, and
(lagged / leaded, iterated, quasi-, log-) differences, (compounded)
growth rates, and cumulative sums on (unordered, irregular) time series and
panel data. Multivariate auto-, partial- and cross-correlation functions for panel data.
Panel data to (ts-)array conversions.
(5) List processing: (Recursive) list search / identification, splitting,
extraction / subsetting, data-apply, and generalized recursive
row-binding / unlisting in 2D.
(6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed)
summary statistics for complex multilevel / panel data.
Author: Sebastian Krantz [aut, cre],
Matt Dowle [ctb],
Arun Srinivasan [ctb],
Laurent Berge [ctb],
Dirk Eddelbuettel [ctb],
Josh Pasek [ctb],
Kevin Tappe [ctb],
R Core Team and contributors worldwide [ctb],
Martyn Plummer [cph],
1999-2016 The R Core Team [cph]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Diff between collapse versions 1.5.3 dated 2021-03-07 and 1.6.0 dated 2021-06-28
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Title: Collective Matrix Factorization for Recommender Systems
Description: Collective matrix factorization (a.k.a. multi-view or multi-way factorization,
Singh, Gordon, (2008) <doi:10.1145/1401890.1401969>) tries to approximate a matrix 'X' as the
product of two low-dimensional matrices aided with secondary information matrices about rows
and/or columns of 'X' which are also factorized using the same latent components.
The intended usage is for recommender systems, dimensionality reduction, and missing value imputation.
Implements extensions of the original model (Cortes, (2018) <arXiv:1809.00366>) and can produce
different factorizations such as the weighted 'implicit-feedback' model (Hu, Koren, Volinsky,
(2008) <doi:10.1109/ICDM.2008.22>), the 'weighted-lambda-regularization' model,
(Zhou, Wilkinson, Schreiber, Pan, (2008) <doi:10.1007/978-3-540-68880-8_32>),
or the enhanced model with 'implicit features' (Rendle, Zhang,
Koren, (2019) <arXiv:1905.01395>), with or without side information. Can use gradient-based
procedures or alternating-least squares procedures (Koren, Bell, Volinsky, (2009)
<doi:10.1109/MC.2009.263>), with either a Cholesky solver, a faster conjugate gradient solver
(Takacs, Pilaszy, Tikk, (2011) <doi:10.1145/2043932.2043987>), or a non-negative
coordinate descent solver (Franc, Hlavac, Navara, (2005) <doi:10.1007/11556121_50>),
providing efficient methods for sparse and dense data, and mixtures thereof.
Supports L1 and L2 regularization in the main models,
offers alternative most-popular and content-based models, and implements functionality
for cold-start recommendations and imputation of 2D data.
Author: David Cortes [aut, cre, cph], Jorge Nocedal [cph], Naoaki Okazaki [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
Diff between cmfrec versions 3.1.0 dated 2021-05-20 and 3.1.2 dated 2021-06-28
DESCRIPTION | 8 +- MD5 | 24 +++---- R/fit.R | 7 -- R/other.R | 5 + man/fit.Rd | 7 -- src/Makevars | 2 src/Rwrapper.c | 62 +++++++++++++++++++- src/cblas_wrappers.c | 20 +++--- src/cmfrec.h | 155 +++++++++++++++++++++++++++++++++------------------ src/collective.c | 6 + src/common.c | 55 +++++++++++++++++- src/helpers.c | 26 ++++++++ src/offsets.c | 92 +++++++++++++++++++++++++++++- 13 files changed, 373 insertions(+), 96 deletions(-)