Title: Use LaTeX Expressions in Plots
Description: Parses and converts LaTeX math formulas to R's plotmath
expressions, used to enter mathematical formulas and symbols to be rendered as
text, axis labels, etc. throughout R's plotting system.
Author: Stefano Meschiari [aut, cre]
Maintainer: Stefano Meschiari <stefano.meschiari@gmail.com>
Diff between latex2exp versions 0.9.4 dated 2022-03-02 and 0.9.5 dated 2022-09-11
latex2exp-0.9.4/latex2exp/tests/testthat/Rplots.pdf |only latex2exp-0.9.5/latex2exp/DESCRIPTION | 10 latex2exp-0.9.5/latex2exp/MD5 | 19 latex2exp-0.9.5/latex2exp/NEWS.md | 6 latex2exp-0.9.5/latex2exp/R/parser.R | 23 latex2exp-0.9.5/latex2exp/R/symbols.R | 2 latex2exp-0.9.5/latex2exp/inst/doc/supported-commands.html | 1956 ++++++++++++- latex2exp-0.9.5/latex2exp/inst/doc/using-latex2exp.html | 228 + latex2exp-0.9.5/latex2exp/man/figures/logo.png |binary latex2exp-0.9.5/latex2exp/tests/testthat/setup.R | 14 latex2exp-0.9.5/latex2exp/tests/testthat/test_simple.R | 23 11 files changed, 2237 insertions(+), 44 deletions(-)
Title: Hot-Spot Analysis with Simple Features
Description: Identify and understand clusters of points (typically representing
the locations of places or events) stored in simple-features (SF) objects.
This is useful for analysing, for example, hot-spots of crime events. The
package emphasises producing results from point SF data in a single step
using reasonable default values for all other arguments, to aid rapid data
analysis by users who are starting out. Functions available include kernel
density estimation (for details, see Yip (2020)
<doi:10.22224/gistbok/2020.1.12>), analysis of spatial association (Getis
and Ord (1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>) and hot-spot
classification (Chainey (2020) ISBN:158948584X).
Author: Matt Ashby [aut, cre]
Maintainer: Matt Ashby <matthew.ashby@ucl.ac.uk>
Diff between sfhotspot versions 0.2.0 dated 2022-02-14 and 0.7.0 dated 2022-09-11
DESCRIPTION | 14 +-- MD5 | 77 +++++++++++------ NAMESPACE | 12 ++ NEWS.md | 68 +++++++++++++++ R/autoplot.R |only R/bandwidth_nrd.R | 2 R/count_points_in_polygons.R | 61 +++++++++++-- R/create_grid.R | 62 ++++++++++++-- R/hotspot_change.R |only R/hotspot_classify.R | 71 +++++++++------- R/hotspot_count.R | 68 +++++++++------ R/hotspot_dual_kde.R |only R/hotspot_gistar.R | 95 ++++++++++++++++----- R/hotspot_kde.R | 110 +++++++++++++++++-------- R/kernel_density.R | 86 +++++++++++++++---- R/memphis_population.R |only R/reexports.R |only R/set_bandwidth.R | 33 +++++-- R/set_cell_size.R | 8 + R/validate_inputs.R |only README.md | 50 +++++++---- build/partial.rdb |binary data/memphis_population.rda |only man/autoplot.hspt_c.Rd |only man/autoplot.hspt_d.Rd |only man/autoplot.hspt_k.Rd |only man/autoplot.hspt_n.Rd |only man/figures/README-example-1.png |binary man/hotspot_change.Rd |only man/hotspot_classify.Rd | 17 ++- man/hotspot_count.Rd | 43 ++++++--- man/hotspot_dual_kde.Rd |only man/hotspot_gistar.Rd | 23 ++++- man/hotspot_grid.Rd |only man/hotspot_kde.Rd | 48 +++++++--- man/memphis_population.Rd |only man/reexports.Rd |only tests/testthat/_snaps |only tests/testthat/test-autoplot.R |only tests/testthat/test-count_points_in_polygons.R | 22 +++++ tests/testthat/test-hotspot_change.R |only tests/testthat/test-hotspot_classify.R | 12 -- tests/testthat/test-hotspot_count.R | 25 ++--- tests/testthat/test-hotspot_dual_kde.R |only tests/testthat/test-hotspot_gistar.R | 32 ++++--- tests/testthat/test-hotspot_kde.R | 32 +++---- tests/testthat/test-kernel_density.R | 43 ++++++++- tests/testthat/test-set_bandwidth.R | 4 tests/testthat/test-set_cell_size.R | 8 + tests/testthat/test-validate_inputs.R |only 50 files changed, 817 insertions(+), 309 deletions(-)
Title: Statistical Learning on Sparse Matrices
Description: Implements many algorithms for statistical learning on
sparse matrices - matrix factorizations, matrix completion,
elastic net regressions, factorization machines.
Also 'rsparse' enhances 'Matrix' package by providing methods for
multithreaded <sparse, dense> matrix products and native slicing of
the sparse matrices in Compressed Sparse Row (CSR) format.
List of the algorithms for regression problems:
1) Elastic Net regression via Follow The Proximally-Regularized Leader (FTRL)
Stochastic Gradient Descent (SGD), as per McMahan et al(, <doi:10.1145/2487575.2488200>)
2) Factorization Machines via SGD, as per Rendle (2010, <doi:10.1109/ICDM.2010.127>)
List of algorithms for matrix factorization and matrix completion:
1) Weighted Regularized Matrix Factorization (WRMF) via Alternating Least
Squares (ALS) - paper by Hu, Koren, Volinsky (2008, <doi:10.1109/ICDM.2008.22>)
2) Maximum-Margin Matrix Factorization via ALS, paper by Rennie, Srebro
(2005, <doi:10.1145/110 [...truncated...]
Author: Dmitriy Selivanov [aut, cre, cph]
,
David Cortes [ctb],
Drew Schmidt [ctb] ,
Wei-Chen Chen [ctb]
Maintainer: Dmitriy Selivanov <ds@rexy.ai>
Diff between rsparse versions 0.5.0 dated 2021-11-30 and 0.5.1 dated 2022-09-11
DESCRIPTION | 8 MD5 | 32 - NEWS.md | 51 - R/model_FTRL.R | 2 README.md | 4 configure | 1038 ---------------------------------- configure.ac | 100 --- inst/include/wrmf_implicit.hpp | 6 man/FTRL.Rd | 36 - man/FactorizationMachine.Rd | 30 man/GloVe.Rd | 24 man/LinearFlow.Rd | 44 - man/MatrixFactorizationRecommender.Rd | 12 man/PureSVD.Rd | 38 - man/ScaleNormalize.Rd | 30 man/WRMF.Rd | 38 - src/Makevars.in | 4 17 files changed, 186 insertions(+), 1311 deletions(-)
Title: Tabulate P.L. 94-171 Redistricting Data Summary Files
Description: Tools to process legacy format summary redistricting data files
produced by the United States Census Bureau pursuant to P.L. 94-171. These
files are generally available earlier but are difficult to work with as-is.
Author: Cory McCartan [aut, cre],
Christopher T. Kenny [aut]
Maintainer: Cory McCartan <cmccartan@g.harvard.edu>
Diff between PL94171 versions 1.1.1 dated 2022-08-25 and 1.1.2 dated 2022-09-11
DESCRIPTION | 6 +- MD5 | 12 ++-- README.md | 2 inst/doc/PL94171.R | 24 +++++++- inst/doc/PL94171.Rmd | 29 ++++++++-- inst/doc/PL94171.html | 145 +++++++++++++++++++++++++------------------------- vignettes/PL94171.Rmd | 29 ++++++++-- 7 files changed, 159 insertions(+), 88 deletions(-)
Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for comprehensive summary statistics via pivot tables, a comprehensive regression analysis, analysis of variance and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, and Trellis graphics. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, generation and rendering of R markdown instructions for interpretative output, and interactive visualizations.
Author: David Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>
Diff between lessR versions 4.2.2 dated 2022-07-13 and 4.2.3 dated 2022-09-11
lessR-4.2.2/lessR/R/tt.brief.R |only lessR-4.2.2/lessR/inst/NEWS.Rd |only lessR-4.2.2/lessR/inst/shiny_examples |only lessR-4.2.3/lessR/DESCRIPTION | 10 lessR-4.2.3/lessR/MD5 | 152 +++---- lessR-4.2.3/lessR/NAMESPACE | 2 lessR-4.2.3/lessR/NEWS.md |only lessR-4.2.3/lessR/R/ANOVAz1.R | 4 lessR-4.2.3/lessR/R/BarChart.R | 131 +++--- lessR-4.2.3/lessR/R/Correlation.R | 11 lessR-4.2.3/lessR/R/Density.R | 16 lessR-4.2.3/lessR/R/Histogram.R | 293 ++++++++------ lessR-4.2.3/lessR/R/LineChart.R | 2 lessR-4.2.3/lessR/R/PieChart.R | 88 ++-- lessR-4.2.3/lessR/R/Plot.R | 320 +++++++++------ lessR-4.2.3/lessR/R/Read.R | 37 - lessR-4.2.3/lessR/R/SummaryStats.R | 11 lessR-4.2.3/lessR/R/bc.data.frame.R | 5 lessR-4.2.3/lessR/R/bc.zmain.R | 505 ++++++++++++------------- lessR-4.2.3/lessR/R/bx.zstats.R | 6 lessR-4.2.3/lessR/R/cr.zmain.R | 2 lessR-4.2.3/lessR/R/dn.zmain.R | 18 lessR-4.2.3/lessR/R/hst.stats.R | 8 lessR-4.2.3/lessR/R/hst.zmain.R | 7 lessR-4.2.3/lessR/R/interact.R | 13 lessR-4.2.3/lessR/R/label.R | 3 lessR-4.2.3/lessR/R/param.zVBS.R | 1 lessR-4.2.3/lessR/R/pc.zmain.R | 80 ++- lessR-4.2.3/lessR/R/pivot.R | 91 +++- lessR-4.2.3/lessR/R/plt.by.zlegend.R | 5 lessR-4.2.3/lessR/R/plt.zMD.R | 2 lessR-4.2.3/lessR/R/plt.zbins.R | 10 lessR-4.2.3/lessR/R/plt.zbubble.R | 4 lessR-4.2.3/lessR/R/plt.zcolors.R | 41 +- lessR-4.2.3/lessR/R/plt.zfill.R | 1 lessR-4.2.3/lessR/R/plt.zlattice.R | 11 lessR-4.2.3/lessR/R/plt.zmain.R | 26 - lessR-4.2.3/lessR/R/plt.ztxt.R | 184 ++++----- lessR-4.2.3/lessR/R/recode.R | 5 lessR-4.2.3/lessR/R/ss.zfactor.R | 7 lessR-4.2.3/lessR/R/ss.znumeric.R | 4 lessR-4.2.3/lessR/R/ttest.R | 9 lessR-4.2.3/lessR/R/values.R | 8 lessR-4.2.3/lessR/R/zzz.R | 172 ++------ lessR-4.2.3/lessR/inst/doc/BarChart.html | 55 +- lessR-4.2.3/lessR/inst/doc/Customize.html | 26 - lessR-4.2.3/lessR/inst/doc/Extract.html | 35 - lessR-4.2.3/lessR/inst/doc/FactorAnalysis.html | 15 lessR-4.2.3/lessR/inst/doc/Histogram.Rmd | 4 lessR-4.2.3/lessR/inst/doc/Histogram.html | 45 +- lessR-4.2.3/lessR/inst/doc/Means.html | 69 +-- lessR-4.2.3/lessR/inst/doc/Plot.html | 361 +++++------------ lessR-4.2.3/lessR/inst/doc/Proportions.html | 16 lessR-4.2.3/lessR/inst/doc/ReadWrite.Rmd | 4 lessR-4.2.3/lessR/inst/doc/ReadWrite.html | 48 +- lessR-4.2.3/lessR/inst/doc/Regression.html | 43 -- lessR-4.2.3/lessR/inst/doc/Time.html | 92 +--- lessR-4.2.3/lessR/inst/doc/pivot.R | 2 lessR-4.2.3/lessR/inst/doc/pivot.Rmd | 68 +-- lessR-4.2.3/lessR/inst/doc/pivot.html | 230 +++++------ lessR-4.2.3/lessR/inst/doc/utilities.html | 30 - lessR-4.2.3/lessR/inst/shiny_apps |only lessR-4.2.3/lessR/man/BarChart.Rd | 17 lessR-4.2.3/lessR/man/Density.Rd | 39 - lessR-4.2.3/lessR/man/Histogram.Rd | 56 +- lessR-4.2.3/lessR/man/PieChart.Rd | 6 lessR-4.2.3/lessR/man/Plot.Rd | 8 lessR-4.2.3/lessR/man/Read.Rd | 25 - lessR-4.2.3/lessR/man/ttest.Rd | 2 lessR-4.2.3/lessR/vignettes/Histogram.Rmd | 4 lessR-4.2.3/lessR/vignettes/ReadWrite.Rmd | 4 lessR-4.2.3/lessR/vignettes/pivot.Rmd | 68 +-- 72 files changed, 1830 insertions(+), 1847 deletions(-)
Title: Diffusion Models R Analysis
Description: The implemented methods are: Standard Bass model, Generalized Bass model (with rectangular shock, exponential shock, and mixed shock. You can choose to add from 1 to 3 shocks), Guseo-Guidolin model and Variable Potential Market model, and UCRCD model. The Bass model consists of a simple differential equation that describes the process of how new products get adopted in a population, the Generalized Bass model is a generalization of the Bass model in which there is a "carrier" function x(t) that allows to change the speed of time sliding. In some real processes the reachable potential of the resource available in a temporal instant may appear to be not constant over time, because of this we use Variable Potential Market model, in which the Guseo-Guidolin has a particular specification for the market function. The UCRCD model (Unbalanced Competition and Regime Change Diachronic) is a diffusion model used to capture the dynamics of the competitive or collaborative transition.
Author: Zanghi Federico, Savio Andrea, Filippo Ziliotto
Maintainer: Savio Andrea <svandr97@gmail.com>
Diff between DIMORA versions 0.2.0 dated 2021-04-16 and 0.3.0 dated 2022-09-11
DIMORA-0.2.0/DIMORA/LICENSE |only DIMORA-0.2.0/DIMORA/R/BASSgeneralized.R |only DIMORA-0.2.0/DIMORA/R/BASSplot.R |only DIMORA-0.2.0/DIMORA/R/BASSstandard.R |only DIMORA-0.2.0/DIMORA/R/BASSstandardgenerator.R |only DIMORA-0.2.0/DIMORA/R/GGmodel.R |only DIMORA-0.2.0/DIMORA/R/SARMAX.refinement.R |only DIMORA-0.2.0/DIMORA/R/classic.plot.sarima.R |only DIMORA-0.2.0/DIMORA/R/predict_SARMAX.refinement.R |only DIMORA-0.2.0/DIMORA/README.md |only DIMORA-0.2.0/DIMORA/man/BASSGeneralized.Rd |only DIMORA-0.2.0/DIMORA/man/BASSStandard.Rd |only DIMORA-0.2.0/DIMORA/man/BASSStandardgenerator.Rd |only DIMORA-0.2.0/DIMORA/man/BASSplot.Rd |only DIMORA-0.2.0/DIMORA/man/GGmodel.Rd |only DIMORA-0.2.0/DIMORA/man/SARMAX.refinement.Rd |only DIMORA-0.2.0/DIMORA/man/classic.plot.sarima.Rd |only DIMORA-0.2.0/DIMORA/man/predict_SARMAX.refinement.Rd |only DIMORA-0.3.0/DIMORA/DESCRIPTION | 18 DIMORA-0.3.0/DIMORA/MD5 | 50 - DIMORA-0.3.0/DIMORA/NAMESPACE | 34 DIMORA-0.3.0/DIMORA/R/BM.R |only DIMORA-0.3.0/DIMORA/R/GBM.R |only DIMORA-0.3.0/DIMORA/R/GGM.R |only DIMORA-0.3.0/DIMORA/R/UCRCD.R | 800 ++++++++++++------- DIMORA-0.3.0/DIMORA/R/plot.Dimora.R | 345 ++++---- DIMORA-0.3.0/DIMORA/R/predict.Dimora.R | 6 DIMORA-0.3.0/DIMORA/R/summary.Dimora.R | 114 +- DIMORA-0.3.0/DIMORA/data |only DIMORA-0.3.0/DIMORA/man/BM.Rd |only DIMORA-0.3.0/DIMORA/man/DBdimora.Rd |only DIMORA-0.3.0/DIMORA/man/DIMORA.Rd | 109 +- DIMORA-0.3.0/DIMORA/man/GBM.Rd |only DIMORA-0.3.0/DIMORA/man/GGM.Rd |only DIMORA-0.3.0/DIMORA/man/UCRCD.Rd | 196 +++- DIMORA-0.3.0/DIMORA/man/makeinstantanous.Rd | 91 +- DIMORA-0.3.0/DIMORA/man/plot.Dimora.Rd | 96 +- DIMORA-0.3.0/DIMORA/man/predict.Dimora.Rd | 100 +- DIMORA-0.3.0/DIMORA/man/summary.Dimora.Rd | 86 +- 39 files changed, 1255 insertions(+), 790 deletions(-)
Title: Refitting and Spatial Analysis in Archaeology
Description: Methods to analyse fragmented objects in archaeology using refitting relationships between fragments scattered in archaeological spatial units (e.g. stratigraphic layers). Graphs and graph theory are used to model archaeological observations. The package is mainly based on the 'igraph' package for graph analysis. Functions can: 1) create, manipulate, and simulate fragmentation graphs, 2) measure the cohesion and admixture of archaeological spatial units, and 3) characterise the topology of a specific set of refitting relationships. An empirical dataset is also provided as an example. Documentation about 'archeofrag' is provided by the vignette included in this package and by the accompanying scientific papers: Plutniak (2021, Journal of Archaeological Science, <doi:10.1016/j.jas.2021.105501>) and Plutniak (2022, Journal of Open Source Software, <doi:10.21105/joss.04335>).
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>
Diff between archeofrag versions 0.8 dated 2022-03-09 and 0.8.2 dated 2022-09-11
DESCRIPTION | 16 +- MD5 | 85 +++++++++----- NAMESPACE | 51 +++++++- NEWS.md | 18 +++ R/frag.cycles.R | 12 +- R/frag.diameters.R | 22 ++- R/frag.edges.weighting.R | 97 +++++++--------- R/frag.get.layers.R | 14 +- R/frag.get.layers.pair.R | 38 +++--- R/frag.get.parameters.R | 67 ++++++----- R/frag.graph.plot.R | 48 +++----- R/frag.layers.admixture.R | 17 +- R/frag.layers.cohesion.R | 37 ++---- R/frag.observer.failure.R | 20 ++- R/frag.path.lengths.R | 6 - R/frag.relations.by.layers.R | 21 +-- R/frag.simul.compare.R | 36 ++---- R/frag.simul.process.R | 219 +++++++++++++++++++------------------- R/frag.simul.summarise.R | 14 +- R/make_frag_object.R | 83 +++++++------- R/utils.R |only build/vignette.rds |binary inst/CITATION |only inst/doc/archeofrag-vignette.R | 13 +- inst/doc/archeofrag-vignette.Rmd | 53 ++++----- inst/doc/archeofrag-vignette.html | 122 ++++++++++++--------- man/Frag.object-class.Rd | 8 - man/LiangAbu.Rd | 10 - man/frag.edges.weighting.Rd | 1 man/frag.get.layers.Rd | 2 man/frag.get.layers.pair.Rd | 2 man/frag.get.parameters.Rd | 16 ++ man/frag.observer.failure.Rd | 9 - man/frag.simul.compare.Rd | 5 man/frag.simul.process.Rd | 33 +++-- tests |only vignettes/archeofrag-vignette.Rmd | 53 ++++----- 37 files changed, 683 insertions(+), 565 deletions(-)
Title: Isolation Forest-Based Presence-Only Species Distribution
Modeling
Description: Collection of R functions to do purely presence-only species
distribution modeling with isolation forest (iForest) and its
variations such as Extended isolation forest and SCiForest. See the
details of these methods in references: Liu, F.T., Ting, K.M. and
Zhou, Z.H. (2008) <doi:10.1109/ICDM.2008.17>, Hariri, S., Kind, M.C.
and Brunner, R.J. (2019) <doi:10.1109/TKDE.2019.2947676>, Liu, F.T.,
Ting, K.M. and Zhou, Z.H. (2010) <doi:10.1007/978-3-642-15883-4_18>,
Guha, S., Mishra, N., Roy, G. and Schrijvers, O. (2016)
<https://proceedings.mlr.press/v48/guha16.html>, Cortes, D. (2021)
<arXiv:2110.13402>. Additionally, Shapley values are used to explain
model inputs and outputs. See details in references: Shapley, L.S.
(1953) <doi:10.1515/9781400881970-018>, Lundberg, S.M. and Lee, S.I.
(2017) <https://dl.acm.org/doi/abs/10.5555/3295222.3295230>, Molnar,
C. (2020) <ISBN:978-0-244-76852-2>, Štrumbelj, E. and Kononenko, I.
(2014) <doi:10.1007 [...truncated...]
Author: Lei Song [aut, cre] ,
Lyndon Estes [ths]
Maintainer: Lei Song <lsong@clarku.edu>
Diff between itsdm versions 0.1.2 dated 2022-06-20 and 0.1.3 dated 2022-09-11
DESCRIPTION | 8 MD5 | 64 ++--- NAMESPACE | 2 NEWS.md | 8 R/future_worldclim2.R | 2 R/plot.R | 97 ++++++-- R/print.R | 50 +++- R/utils.R | 34 ++- R/worldclim2.R | 2 build/partial.rdb |binary inst/doc/introduction_of_itsdm.Rmd | 96 ++++---- inst/doc/introduction_of_itsdm.html | 98 ++++---- inst/doc/itsdm_example.Rmd | 308 ++++++++++++++------------- inst/doc/itsdm_example.html | 309 ++++++++++++++-------------- man/plot.ShapDependence.Rd | 31 ++ man/print.VariableAnalysis.Rd | 6 vignettes/intro-evaluation-1.png |binary vignettes/intro-var_contrib_plot-1.png |binary vignettes/intro-var_inter_dependence-1.png |binary vignettes/intro-variable_dependence-1.png |binary vignettes/introduction_of_itsdm.Rmd | 96 ++++---- vignettes/itsdm-eval-1.png |binary vignettes/itsdm-independent_responses-1.png |binary vignettes/itsdm-marginal_responses-1.png |binary vignettes/itsdm-outliers-1.png |binary vignettes/itsdm-pa-1.png |binary vignettes/itsdm-prediction-1.png |binary vignettes/itsdm-var_contrib-1.png |binary vignettes/itsdm-var_contrib_general-1.png |binary vignettes/itsdm-var_inter_dependence-1.png |binary vignettes/itsdm-variable_dependence-1.png |binary vignettes/itsdm_example.Rmd | 308 ++++++++++++++------------- vignettes/itsdm_example.Rmd.orig | 16 - 33 files changed, 850 insertions(+), 685 deletions(-)
Title: Data Science for Wind Energy
Description: Data science methods used in wind energy applications.
Current functionalities include creating a multi-dimensional power curve model,
performing power curve function comparison, covariate matching, and energy decomposition.
Relevant works for the developed functions are:
funGP() - Prakash et al. (2022) <doi:10.1080/00401706.2021.1905073>,
AMK() - Lee et al. (2015) <doi:10.1080/01621459.2014.977385>,
tempGP() - Prakash et al. (2022) <doi:10.1080/00401706.2022.2069158>,
ComparePCurve() - Ding et al. (2021) <doi:10.1016/j.renene.2021.02.136>,
deltaEnergy() - Latiffianti et al. (2022) <doi:10.1002/we.2722>,
syncSize() - Latiffianti et al. (2022) <doi:10.1002/we.2722>,
imptPower() - Latiffianti et al. (2022) <doi:10.1002/we.2722>,
All other functions - Ding (2019, ISBN:9780429956508).
Author: Nitesh Kumar [aut],
Abhinav Prakash [aut],
Yu Ding [aut, cre],
Effi Latiffianti [ctb, cph]
Maintainer: Yu Ding <yuding@tamu.edu>
Diff between DSWE versions 1.6.1 dated 2022-07-18 and 1.6.2 dated 2022-09-11
DESCRIPTION | 10 ++++------ MD5 | 14 +++++++------- R/AMKGapSubroutines.R | 16 +++++++++++++--- R/AMKSubroutines.R | 9 ++++++++- R/tempGP.R | 2 +- R/tempGPSubroutines.R | 2 +- build/partial.rdb |binary src/GPMethods.cpp | 2 +- 8 files changed, 35 insertions(+), 20 deletions(-)
Title: Power and Sample Size Calculation for Non-Proportional Hazards
Description: Performs power and sample size calculation for non-proportional
hazards model using the Fleming-Harrington family of weighted log-rank
tests. The sequentially calculated log-rank test score statistics are
assumed to have independent increments as characterized in
Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean
and variance of log-rank test score statistics are calculated based on
Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities
are calculated using the recursive integration algorithm described in
Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168).
Author: Kaifeng Lu
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Diff between lrstat versions 0.1.7 dated 2022-08-29 and 0.1.8 dated 2022-09-11
lrstat-0.1.7/lrstat/R/print_design.R |only lrstat-0.1.7/lrstat/R/print_lrpower.R |only lrstat-0.1.7/lrstat/R/print_lrsim.R |only lrstat-0.1.7/lrstat/man/set_seed.Rd |only lrstat-0.1.7/lrstat/man/stl_sort.Rd |only lrstat-0.1.8/lrstat/DESCRIPTION | 8 lrstat-0.1.8/lrstat/MD5 | 65 lrstat-0.1.8/lrstat/NAMESPACE | 10 lrstat-0.1.8/lrstat/NEWS.md | 25 lrstat-0.1.8/lrstat/R/RcppExports.R | 761 +++- lrstat-0.1.8/lrstat/R/parameter_descriptions.R | 2 lrstat-0.1.8/lrstat/R/prints.R |only lrstat-0.1.8/lrstat/R/wrappers.R |only lrstat-0.1.8/lrstat/build/partial.rdb |only lrstat-0.1.8/lrstat/man/errorSpent.Rd | 15 lrstat-0.1.8/lrstat/man/exitprob.Rd | 20 lrstat-0.1.8/lrstat/man/fadjpbon.Rd |only lrstat-0.1.8/lrstat/man/fseqbon.Rd |only lrstat-0.1.8/lrstat/man/getBound.Rd |only lrstat-0.1.8/lrstat/man/getDesign.Rd | 9 lrstat-0.1.8/lrstat/man/lrpower.Rd | 9 lrstat-0.1.8/lrstat/man/lrsamplesize.Rd | 40 lrstat-0.1.8/lrstat/man/lrsim.Rd | 11 lrstat-0.1.8/lrstat/man/lrsim2e.Rd |only lrstat-0.1.8/lrstat/man/lrsim2e3a.Rd |only lrstat-0.1.8/lrstat/man/lrsim3a.Rd |only lrstat-0.1.8/lrstat/man/natrisk.Rd | 2 lrstat-0.1.8/lrstat/man/nevent.Rd | 2 lrstat-0.1.8/lrstat/man/nevent2.Rd | 2 lrstat-0.1.8/lrstat/man/param_futilityBounds.Rd | 2 lrstat-0.1.8/lrstat/man/print.design.Rd | 2 lrstat-0.1.8/lrstat/man/print.lrpower.Rd | 2 lrstat-0.1.8/lrstat/man/print.lrsim.Rd | 2 lrstat-0.1.8/lrstat/man/qtpwexp.Rd | 14 lrstat-0.1.8/lrstat/man/repeatedPValue.Rd |only lrstat-0.1.8/lrstat/man/updateGraph.Rd |only lrstat-0.1.8/lrstat/src/RcppExports.cpp | 349 +- lrstat-0.1.8/lrstat/src/fseqbon.cpp |only lrstat-0.1.8/lrstat/src/lrsim.cpp | 3807 +++++++++++++++++++++++- lrstat-0.1.8/lrstat/src/lrstat.cpp | 1654 +++++----- lrstat-0.1.8/lrstat/src/utilities.cpp | 210 - lrstat-0.1.8/lrstat/src/utilities.h | 25 42 files changed, 5659 insertions(+), 1389 deletions(-)
Title: Functions for Tabular Reporting
Description: Create pretty tables for 'HTML', 'PDF', 'Microsoft Word', 'Microsoft PowerPoint'
documents from 'R Markdown' and as 'Grid Graphics' objects. Functions are provided to let users
create tables, modify and format their content. It also extends package 'officer' that does
not contain any feature for customized tabular reporting.
Author: David Gohel [aut, cre],
Clementine Jager [ctb],
Panagiotis Skintzos [aut],
Quentin Fazilleau [ctb],
Maxim Nazarov [ctb] ,
Titouan Robert [ctb],
Michael Barrowman [ctb] ,
Atsushi Yasumoto [ctb] ,
Paul Julian [ctb] ,
Sean Browning [ctb] ,
Remi Theriaul [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>
Diff between flextable versions 0.7.3 dated 2022-08-09 and 0.8.0 dated 2022-09-11
DESCRIPTION | 41 +- MD5 | 147 ++++---- NAMESPACE | 50 ++ NEWS.md | 39 ++ R/00_utils.R | 25 + R/05_content.R | 72 ++-- R/as_flextable.R | 5 R/as_flextable_tabulator.R | 41 ++ R/augment_rows.R | 2 R/body_add_flextable.R | 69 ++-- R/captions.R |only R/compose.R | 83 ++++ R/defaults.R | 18 - R/docx_str.R | 497 +++++++++++------------------ R/flextable.R | 193 ++++++++++- R/flextable_sizes.R | 48 -- R/footnote.R | 25 - R/grid_funs.R |only R/grid_grobs.R |only R/html_str.R | 234 ++++--------- R/latex_chunks.R | 148 +++----- R/latex_str.R | 113 ++---- R/ooxml-utils.R | 1 R/pptx_str.R | 189 +---------- R/printers.R | 271 +++++++++++---- R/read_structure.R | 379 +++++++++------------- R/runs_as_functions.R |only R/styles.R | 11 R/summarizor.R | 129 ++++--- R/themes.R | 32 + R/utils.R | 40 ++ build/vignette.rds |binary inst/web_1.1.0/tabwid.css | 2 man/align.Rd | 8 man/as_chunk.Rd | 2 man/as_equation.Rd | 5 man/as_flextable.tabulator.Rd | 5 man/as_raster.Rd | 5 man/body_add_flextable.Rd | 14 man/compose.Rd | 2 man/df_printer.Rd | 1 man/dim.flextableGrob.Rd |only man/figures/fig_set_table_properties_1.png |binary man/figures/fig_set_table_properties_2.png |binary man/figures/fig_set_table_properties_3.png |only man/figures/fig_theme_apa_1.png |only man/flextable_to_rmd.Rd | 10 man/fmt_2stats.Rd | 5 man/gen_grob.Rd |only man/get_flextable_defaults.Rd | 1 man/htmltools_value.Rd | 1 man/hyperlink_text.Rd | 2 man/knit_print.flextable.Rd | 3 man/labelizor.Rd |only man/plot.flextable.Rd | 25 - man/plot.flextableGrob.Rd |only man/print.flextable.Rd | 5 man/save_as_docx.Rd | 5 man/save_as_html.Rd | 1 man/save_as_image.Rd | 1 man/save_as_pptx.Rd | 1 man/set_caption.Rd | 70 +++- man/set_flextable_defaults.Rd | 1 man/set_table_properties.Rd | 24 + man/summarizor.Rd | 38 +- man/theme_alafoli.Rd | 1 man/theme_apa.Rd |only man/theme_booktabs.Rd | 1 man/theme_box.Rd | 1 man/theme_tron.Rd | 1 man/theme_tron_legacy.Rd | 1 man/theme_vader.Rd | 1 man/theme_vanilla.Rd | 1 man/theme_zebra.Rd | 1 tests/testthat/test-captions-rmd.R | 10 tests/testthat/test-captions-rmd.Rmd | 2 tests/testthat/test-captions.R | 10 tests/testthat/test-cell-content.R | 50 +- tests/testthat/test-footnote.R | 4 tests/testthat/test-text.R | 2 80 files changed, 1803 insertions(+), 1422 deletions(-)
Title: Periodically Correlated and Periodically Integrated Time Series
Description: Classes and methods for modelling and simulation of
periodically correlated (PC) and periodically integrated time
series. Compute theoretical periodic autocovariances and related
properties of PC autoregressive moving average models. Some original
methods including Boshnakov & Iqelan (2009)
<doi:10.1111/j.1467-9892.2009.00617.x>, Boshnakov (1996)
<doi:10.1111/j.1467-9892.1996.tb00281.x>.
Author: Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>
Diff between pcts versions 0.15.2 dated 2022-01-12 and 0.15.3 dated 2022-09-11
pcts-0.15.2/pcts/man/PeriodicAutocovarianceModel-class.Rd |only pcts-0.15.2/pcts/man/PeriodicAutocovarianceSpec-class.Rd |only pcts-0.15.2/pcts/man/unitSeason-methods.Rd |only pcts-0.15.2/pcts/man/unitSeason_ass-methods.Rd |only pcts-0.15.3/pcts/DESCRIPTION | 16 - pcts-0.15.3/pcts/MD5 | 179 +++++------- pcts-0.15.3/pcts/NAMESPACE | 2 pcts-0.15.3/pcts/NEWS.md | 14 pcts-0.15.3/pcts/R/cyclic.R | 2 pcts-0.15.3/pcts/R/generics.R | 1 pcts-0.15.3/pcts/R/pcTest.R | 9 pcts-0.15.3/pcts/R/trig.R | 44 ++ pcts-0.15.3/pcts/README.md | 18 - pcts-0.15.3/pcts/build/partial.rdb |binary pcts-0.15.3/pcts/inst/REFERENCES.bib | 43 ++ pcts-0.15.3/pcts/inst/auto/REFERENCES.el | 4 pcts-0.15.3/pcts/inst/doc/pcts_data.R | 4 pcts-0.15.3/pcts/inst/doc/pcts_data.Rmd | 7 pcts-0.15.3/pcts/inst/doc/pcts_data.html | 62 ++-- pcts-0.15.3/pcts/man/BareCycle-class.Rd | 6 pcts-0.15.3/pcts/man/BasicCycle-class.Rd | 31 +- pcts-0.15.3/pcts/man/BuiltinCycle-class.Rd | 91 ++---- pcts-0.15.3/pcts/man/Cyclic-class.Rd | 27 + pcts-0.15.3/pcts/man/FittedPeriodicArModel-class.Rd | 8 pcts-0.15.3/pcts/man/Fraser2017.Rd | 4 pcts-0.15.3/pcts/man/PartialCycle-class.Rd | 13 pcts-0.15.3/pcts/man/Pctime.Rd | 2 pcts-0.15.3/pcts/man/PeriodicArModel-class.Rd | 15 - pcts-0.15.3/pcts/man/PeriodicArModel-methods.Rd | 29 + pcts-0.15.3/pcts/man/PeriodicArmaFilter-class.Rd | 8 pcts-0.15.3/pcts/man/PeriodicArmaModel-class.Rd | 8 pcts-0.15.3/pcts/man/PeriodicArmaSpec-class.Rd | 13 pcts-0.15.3/pcts/man/PeriodicBJFilter-class.Rd | 17 - pcts-0.15.3/pcts/man/PeriodicFilterModel-class.Rd | 14 pcts-0.15.3/pcts/man/PeriodicIntegratedArmaSpec-class.Rd | 10 pcts-0.15.3/pcts/man/PeriodicInterceptSpec-class.Rd | 12 pcts-0.15.3/pcts/man/PeriodicMTS-class.Rd | 44 ++ pcts-0.15.3/pcts/man/PeriodicMaModel-class.Rd | 7 pcts-0.15.3/pcts/man/PeriodicSPFilter-class.Rd | 8 pcts-0.15.3/pcts/man/PeriodicTS-class.Rd | 50 ++- pcts-0.15.3/pcts/man/PeriodicTimeSeries-class.Rd | 24 + pcts-0.15.3/pcts/man/PiPeriodicArModel-class.Rd | 2 pcts-0.15.3/pcts/man/PiPeriodicArmaModel-class.Rd | 4 pcts-0.15.3/pcts/man/SiPeriodicArModel-class.Rd | 1 pcts-0.15.3/pcts/man/SimpleCycle-class.Rd | 13 pcts-0.15.3/pcts/man/SubsetPM-class.Rd | 16 - pcts-0.15.3/pcts/man/Vec.Rd | 38 +- pcts-0.15.3/pcts/man/allSeasons.Rd | 27 - pcts-0.15.3/pcts/man/autocorrelations-methods.Rd | 11 pcts-0.15.3/pcts/man/autocovariances-methods.Rd | 20 + pcts-0.15.3/pcts/man/backwardPartialCoefficients-methods.Rd | 9 pcts-0.15.3/pcts/man/backwardPartialVariances-methods.Rd | 9 pcts-0.15.3/pcts/man/dataFranses1996.Rd | 4 pcts-0.15.3/pcts/man/filterCoef-methods.Rd | 10 pcts-0.15.3/pcts/man/fitPM.Rd | 1 pcts-0.15.3/pcts/man/fit_trigPAR_optim.Rd | 5 pcts-0.15.3/pcts/man/four_stocks_since2016_01_01.Rd | 8 pcts-0.15.3/pcts/man/nCycles.Rd | 35 +- pcts-0.15.3/pcts/man/nSeasons-methods.Rd | 84 ++--- pcts-0.15.3/pcts/man/parcovmatlist.Rd | 6 pcts-0.15.3/pcts/man/partialAutocorrelations-methods.Rd | 18 + pcts-0.15.3/pcts/man/partialAutocovariances-methods.Rd | 16 - pcts-0.15.3/pcts/man/partialCoefficients-methods.Rd | 11 pcts-0.15.3/pcts/man/partialVariances-methods.Rd | 16 - pcts-0.15.3/pcts/man/pc.test.LjungBox.Rd | 13 pcts-0.15.3/pcts/man/pc.test.periodicity.Rd | 16 - pcts-0.15.3/pcts/man/pc.wn.var.acrf.Rd | 6 pcts-0.15.3/pcts/man/pcApply-methods.Rd | 38 +- pcts-0.15.3/pcts/man/pcCycle-methods.Rd | 11 pcts-0.15.3/pcts/man/pcMean-methods.Rd | 51 +-- pcts-0.15.3/pcts/man/pcPlot.Rd | 11 pcts-0.15.3/pcts/man/pcTest-methods.Rd | 6 pcts-0.15.3/pcts/man/pcacfMat.Rd | 7 pcts-0.15.3/pcts/man/pclsdf.Rd | 4 pcts-0.15.3/pcts/man/pclspiar.Rd | 3 pcts-0.15.3/pcts/man/pcts-deprecated.Rd | 19 + pcts-0.15.3/pcts/man/pcts-methods.Rd | 42 ++ pcts-0.15.3/pcts/man/pcts-package.Rd | 60 +++- pcts-0.15.3/pcts/man/pi1ar2par.Rd | 17 - pcts-0.15.3/pcts/man/sigmaSq-methods.Rd | 16 - pcts-0.15.3/pcts/man/sim_pc.Rd | 2 pcts-0.15.3/pcts/man/sim_pwn.Rd | 2 pcts-0.15.3/pcts/man/sl_utils.Rd | 2 pcts-0.15.3/pcts/man/test_piar.Rd | 14 pcts-0.15.3/pcts/man/unitCycle-methods.Rd | 123 +++++--- pcts-0.15.3/pcts/man/unitCycle_ass-methods.Rd | 51 ++- pcts-0.15.3/pcts/man/window.Rd | 40 ++ pcts-0.15.3/pcts/tests/testthat/proba1.RDS |binary pcts-0.15.3/pcts/tests/testthat/proba1.RDS_sav |only pcts-0.15.3/pcts/tests/testthat/test-cycle.R | 2 pcts-0.15.3/pcts/tests/testthat/test-fitPM.R | 13 pcts-0.15.3/pcts/tests/testthat/test-trig.R | 10 pcts-0.15.3/pcts/vignettes/pcts_data.Rmd | 7 93 files changed, 1130 insertions(+), 666 deletions(-)
Title: Model and Solve Mixed Integer Linear Programs
Description: Model mixed integer linear programs in an algebraic way directly in R.
The model is solver-independent and thus offers the possibility
to solve a model with different solvers. It currently only supports
linear constraints and objective functions. See the 'ompr'
website <https://dirkschumacher.github.io/ompr/> for more information,
documentation and examples.
Author: Dirk Schumacher [aut, cre]
Maintainer: Dirk Schumacher <mail@dirk-schumacher.net>
Diff between ompr versions 1.0.2 dated 2022-01-31 and 1.0.3 dated 2022-09-11
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 7 +++++++ R/linear-optimization-model-impl.R | 5 +++++ tests/testthat/test-model-api-linear-optimization-model.R | 11 +++++++++++ 5 files changed, 30 insertions(+), 7 deletions(-)
Title: Modern Text Mining Framework for R
Description: Fast and memory-friendly tools for text vectorization, topic
modeling (LDA, LSA), word embeddings (GloVe), similarities. This package
provides a source-agnostic streaming API, which allows researchers to perform
analysis of collections of documents which are larger than available RAM. All
core functions are parallelized to benefit from multicore machines.
Author: Dmitriy Selivanov [aut, cre, cph],
Manuel Bickel [aut, cph] ,
Qing Wang [aut, cph]
Maintainer: Dmitriy Selivanov <selivanov.dmitriy@gmail.com>
Diff between text2vec versions 0.6.1 dated 2022-04-21 and 0.6.2 dated 2022-09-11
DESCRIPTION | 8 MD5 | 16 NEWS.md | 5 R/model_Collocations.R | 2 inst/doc/files-multicore.html | 1370 ++++++++++++++++++++++++++++++++++- inst/doc/glove.html | 1381 +++++++++++++++++++++++++++++++++++ inst/doc/text-vectorization.html | 1503 +++++++++++++++++++++++++++++++++++++-- man/Collocations.Rd | 2 tests/testthat/test-coherence.R | 3 9 files changed, 4146 insertions(+), 144 deletions(-)
Title: Clustering Using Mixtures of Sub Gaussian Stable Distributions
Description: Developed for model-based clustering using the finite mixtures of skewed sub-Gaussian
stable distributions developed by Teimouri (2022) <arXiv:2205.14067> and estimating
parameters of the symmetric stable distribution within the Bayesian framework.
Author: Mahdi Teimouri [aut, cre, cph, ctb]
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>
Diff between mixSSG versions 1.1.1 dated 2022-08-22 and 2.1.1 dated 2022-09-11
DESCRIPTION | 11 ++++++----- MD5 | 18 ++++++++++-------- R/fitBayes.R |only R/fitmixssg.R | 24 ++++++++++++++++-------- man/AIS.Rd | 2 +- man/dssg.Rd | 10 +++++----- man/fitBayes.Rd |only man/fitmssg.Rd | 38 ++++++++++++++++++++++++++++---------- man/rpstable.Rd | 10 +++++----- man/rssg.Rd | 10 +++++----- man/stoch.Rd | 14 +++++++------- 11 files changed, 83 insertions(+), 54 deletions(-)
Title: Framework for Traditional Life Insurance Contracts
Description: R6 classes to model traditional life insurance
contracts like annuities, whole life insurances or endowments. Such life
insurance contracts provide a guaranteed interest and are not directly linked
to the performance of a particular investment vehicle. However, they typically
provide (discretionary) profit participation. This package provides a framework
to model such contracts in a very generic (cash-flow-based) way and includes
modelling profit participation schemes, dynamic increases or more general
contract layers, as well as contract changes (like sum increases or premium
waivers). All relevant quantities like premium decomposition, reserves and
benefits over the whole contract period are calculated and potentially
exported to excel. Mortalities are given using the 'MortalityTables' package.
Author: Reinhold Kainhofer [aut, cre]
Maintainer: Reinhold Kainhofer <reinhold@kainhofer.com>
Diff between LifeInsuranceContracts versions 0.0.3 dated 2021-09-01 and 0.0.4 dated 2022-09-11
DESCRIPTION | 16 MD5 | 65 NAMESPACE | 17 R/HelperFunctions.R | 54 R/InsuranceContract.R | 173 R/InsuranceParameters.R | 125 R/InsuranceTarif.R | 274 - R/exportInsuranceContractExample.R | 3 R/exportInsuranceContract_xlsx.R | 2 R/showVmGlgExamples.R | 349 + build/vignette.rds |binary inst/Beispiele/Example_Endowment.R | 9 inst/doc/using-the-lifeinsurancecontracts-package.R | 3 inst/doc/using-the-lifeinsurancecontracts-package.Rmd | 5 inst/doc/using-the-lifeinsurancecontracts-package.html | 4192 ++++++++++------- man/InsuranceContract.ParameterDefaults.Rd | 46 man/InsuranceContract.ParametersFallback.Rd | 2 man/InsuranceContract.ParametersFill.Rd | 2 man/InsuranceContract.Rd | 90 man/InsuranceTarif.Rd | 220 man/ProfitParticipation.Rd | 66 man/ProfitParticipationFunctions.Rd | 80 man/TariffTypeSingleEnum-class.Rd | 26 man/age.exactRounded.Rd |only man/age.yearDifference.Rd |only man/contractGrid.Rd | 4 man/costs.scaleAlpha.Rd |only man/fallbackFields.Rd | 4 man/fillFields.Rd | 5 man/freqCharge.Rd | 16 man/initializeCosts.Rd | 11 man/makeContractGridDimname.Rd | 6 man/showVmGlgExamples.Rd | 2 man/testVmGlgExample.Rd |only man/vmGlgExample.generateTest.Rd |only vignettes/using-the-lifeinsurancecontracts-package.Rmd | 5 36 files changed, 3900 insertions(+), 1972 deletions(-)
More information about LifeInsuranceContracts at CRAN
Permanent link
Title: Pedigree Models
Description: Provides functions to estimate mixed probit models using, for
instance, pedigree data like in <doi:10.1002/sim.1603>. The models are also
commonly called liability threshold models. The approximation is
based on direct log marginal likelihood approximations like the randomized
Quasi-Monte Carlo suggested by <doi:10.1198/106186002394> with a similar
procedure to approximate the derivatives. The minimax tilting method
suggested by <doi:10.1111/rssb.12162> is also supported. Graph-based methods
are also provided that can be used to simplify pedigrees.
Author: Benjamin Christoffersen [cre, aut]
,
Alan Genz [cph],
Frank Bretz [cph],
Bjoern Bornkamp [cph],
Torsten Hothorn [cph],
Christophe Dutang [cph],
Diethelm Wuertz [cph],
R-core [cph],
Leo Belzile [cph],
Zdravko Botev [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>
Diff between pedmod versions 0.2.3 dated 2022-06-22 and 0.2.4 dated 2022-09-11
DESCRIPTION | 6 ++--- MD5 | 12 +++++------ NEWS.md | 3 ++ build/partial.rdb |binary build/vignette.rds |binary src/arma-wrap.h | 5 +++- src/test-cdfaprx.cpp | 54 +++++++++++++++++++-------------------------------- 7 files changed, 37 insertions(+), 43 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-12-23 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-03-31 2.0.0
2021-10-04 1.4.0
2018-11-23 1.3.0
2018-07-06 1.2.0
2018-05-06 1.1.2
2017-08-10 1.1.0
2017-06-15 1.0.1.1
2017-04-13 1.0.1
2017-01-12 1.0.0
Title: Modelling with Sparse and Dense Matrices
Description: Modelling with sparse and dense 'Matrix' matrices, using
modular prediction and response module classes.
Author: Douglas Bates <bates@stat.wisc.edu> and Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>
Diff between MatrixModels versions 0.5-0 dated 2021-03-02 and 0.5-1 dated 2022-09-11
DESCRIPTION | 12 ++++++------ MD5 | 8 ++++---- NAMESPACE | 1 + R/AllClass.R | 5 ++--- R/modelMatrix.R | 8 ++++---- 5 files changed, 17 insertions(+), 17 deletions(-)
Title: Objective Bayesian Analysis for Spatial Regression Models
Description: It makes an objective Bayesian analysis of the spatial regression model using both the normal (NSR) and student-T (TSR) distributions. The functions provided give prior and posterior objective densities and allow default Bayesian estimation of the model regression parameters. Details can be found in Ordonez et al. (2020) <arXiv:2004.04341>.
Author: Alejandro Ordonez, Marcos O. Prates , Larissa A. Matos, Victor H. Lachos.
Maintainer: Alejandro Ordonez <ordonezjosealejandro@gmail.com>
Diff between OBASpatial versions 1.8 dated 2021-01-18 and 1.9 dated 2022-09-11
ChangeLog |only DESCRIPTION | 8 - MD5 | 29 ++--- NAMESPACE | 2 R/auxfunctionsnorm.R | 30 ++--- R/auxfunctionst.R | 284 ++++++++++++++++++++++++++++---------------------- R/prinfunctions.R | 75 +++++++------ man/dataca20.Rd | 2 man/dnsrposoba.Rd | 2 man/dnsrprioroba.Rd | 2 man/intmnorm.Rd | 2 man/nsroba.Rd | 50 +++++--- man/nsrobapred.Rd | 12 +- man/summary.nsroba.Rd | 2 man/tsroba.Rd | 29 ++--- man/tsrobapred.Rd | 2 16 files changed, 299 insertions(+), 232 deletions(-)