Title: Extra 'Recipes' for Text Processing
Description: Converting text to numerical features requires specifically
created procedures, which are implemented as steps according to the
'recipes' package. These steps allows for tokenization, filtering,
counting (tf and tfidf) and feature hashing.
Author: Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Diff between textrecipes versions 1.0.0 dated 2022-07-02 and 1.0.1 dated 2022-10-05
DESCRIPTION | 8 MD5 | 62 +- NEWS.md | 4 R/0_imports.R | 2 R/clean_levels.R | 24 R/clean_names.R | 16 R/hashing.R | 28 R/hashing_dummy.R | 24 R/lda.R | 6 R/stopwords.R | 35 - R/text_normalization.R | 30 R/textfeature.R | 60 - R/tokenize_bpe.R | 42 - R/tokenize_sentencepiece.R | 42 - R/tokenize_wordpiece.R | 42 - R/tokenlist.R | 4 README.md | 24 inst/doc/Working-with-n-grams.html | 310 +++++----- inst/doc/cookbook---using-more-complex-recipes-involving-text.html | 241 ++++--- inst/doc/tokenlist.html | 124 ++-- man/step_clean_levels.Rd | 18 man/step_clean_names.Rd | 16 man/step_dummy_hash.Rd | 24 man/step_lda.Rd | 6 man/step_stopwords.Rd | 33 - man/step_text_normalization.Rd | 30 man/step_textfeature.Rd | 60 - man/step_texthash.Rd | 28 man/step_tokenize.Rd | 72 +- man/step_tokenize_bpe.Rd | 42 - man/step_tokenize_sentencepiece.Rd | 42 - man/step_tokenize_wordpiece.Rd | 42 - 32 files changed, 766 insertions(+), 775 deletions(-)
Title: Convert Dates to Arbitrary Week Definitions
Description: Which day a week starts depends heavily on the either the local or
professional context. This package is designed to be a lightweight solution
to easily switching between week-based date definitions.
Author: Zhian N. Kamvar [aut, cre]
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>
Diff between aweek versions 1.0.2 dated 2021-01-04 and 1.0.3 dated 2022-10-05
DESCRIPTION | 9 MD5 | 22 +- NEWS.md | 7 R/aweek-methods.R | 2 R/conversions.R | 2 R/date2week.R | 2 build/vignette.rds |binary inst/doc/introduction.Rmd | 2 inst/doc/introduction.html | 424 +++++++++++++-------------------------------- man/aweek-class.Rd | 2 man/date2week.Rd | 2 vignettes/introduction.Rmd | 2 12 files changed, 153 insertions(+), 323 deletions(-)
Title: High Dimensional Bayesian Ridge Regression without MCMC
Description: Ridge regression provide biased estimators of the regression parameters with lower variance. The HDBRR ("High Dimensional Bayesian Ridge Regression") function fits Bayesian Ridge regression without MCMC, this one uses the SVD or QR decomposition for the posterior computation.
Author: Sergio Perez-Elizalde Developer [aut],
Blanca Monroy-Castillo Developer [aut, cre],
Paulino Perez-Rodriguez User [ctb],
Jose Crossa User [ctb]
Maintainer: Blanca Monroy-Castillo Developer <blancamonroy.96@gmail.com>
Diff between HDBRR versions 1.1.3 dated 2021-11-07 and 1.1.4 dated 2022-10-05
DESCRIPTION | 8 - MD5 | 29 ++-- NAMESPACE | 1 R/HDBRR.R | 23 ++- R/coef.HDBRR.R |only R/plot.HDBRR.R | 30 +++- R/predict.HDBRR.R | 15 ++ R/summary.HDBRR.R | 32 ++--- build/vignette.rds |binary inst/doc/HDBRR.Rnw | 321 ++++++++++++++++++++++++++++++++++------------------ inst/doc/HDBRR.pdf |binary man/HDBRR.Rd | 23 +++ man/X.Rd | 1 man/matop.Rd | 5 man/pheno.Rd | 1 vignettes/HDBRR.Rnw | 321 ++++++++++++++++++++++++++++++++++------------------ 16 files changed, 531 insertions(+), 279 deletions(-)
Title: Geographic Information of Uruguay
Description: The toolbox have functions to load and process geographic information for Uruguay.
And extra-function to get address coordinates and orthophotos through the uruguayan 'IDE' API <https://www.gub.uy/infraestructura-datos-espaciales/tramites-y-servicios/servicios/sistema-unico-direcciones-geograficas>.
Author: Richard Detomasi [aut, cre, cph]
,
Ministerio de Desarrollo Social, Uruguay [dtc],
Infraestrutura de Datos Espaciales, Uruguay [dtc],
Servicio Geografico Militar, Uruguay [dtc],
Ministerio de Transporte y Obras Publicas, Uruguay [dtc],
Instituto [...truncated...]
Maintainer: Richard Detomasi <richard.detomasi@gmail.com>
Diff between geouy versions 0.2.5 dated 2021-08-17 and 0.2.6 dated 2022-10-05
DESCRIPTION | 27 MD5 | 50 NAMESPACE | 3 NEWS.md | 12 R/add_geom.R | 6 R/data.R | 2 R/geocode_ide_uy.R | 20 R/geouy.R | 4 R/reverse_ide_uy.R |only R/tiles_geouy.R | 1 README.md | 6 build/vignette.rds |binary data/metadata.rda |binary inst/doc/geouy.Rmd | 2 inst/doc/geouy.html | 270 ++++ man/add_geom.Rd | 3 man/figures/GeoUy_hexsticker.R | 9 man/figures/geouy_logo_a.svg | 2238 ++++++++++++++++++++--------------------- man/figures/geouy_logo_b.svg | 2106 +++++++++++++++++++------------------- man/geocode_ide_uy.Rd | 4 man/load_geouy.Rd | 1 man/metadata.Rd | 2 man/reverse_ide_uy.Rd |only man/tiles_geouy.Rd | 1 man/where_uy.Rd | 1 man/which_uy.Rd | 1 vignettes/geouy.Rmd | 2 27 files changed, 2508 insertions(+), 2263 deletions(-)
Title: Transfer of Hydrograph from Gauged to Ungauged Catchments
Description: A geomorphology-based hydrological modelling for transferring
streamflow measurements from gauged to ungauged catchments. Inverse
modelling enables to estimate net rainfall from streamflow measurements
following Boudhraâ et al. (2018) <doi:10.1080/02626667.2018.1425801>.
Resulting net rainfall is then estimated on the ungauged catchments
by spatial interpolation in order to finally simulate streamflow
following de Lavenne et al. (2016) <doi:10.1002/2016WR018716>.
Author: Alban de Lavenne [aut, cre] ,
Christophe Cudennec [ths] ,
Tom Loree [ctb],
Herve Squividant [ctb]
Maintainer: Alban de Lavenne <alban.delavenne@inrae.fr>
Diff between transfR versions 0.1.2 dated 2022-05-11 and 1.0.0 dated 2022-10-05
DESCRIPTION | 12 +-- MD5 | 66 +++++++++-------- R/as_transfr.R | 11 +- R/convolution.R | 2 R/inversion.R | 8 +- R/lagtime.R | 2 R/mixr.R | 18 ++-- R/plot.R | 4 - R/rapriori.R | 2 R/uh.R | 4 - R/velocity.R | 4 - build/partial.rdb |binary build/vignette.rds |binary data/Blavet.rda |binary data/Oudon.rda |binary inst/REFERENCES.bib | 13 +++ inst/doc/V01_get_started.Rmd | 22 ++--- inst/doc/V01_get_started.html | 90 +++++++++++++----------- inst/doc/V02_inputs_preparation_stars.R | 96 ++++++++++++++------------ inst/doc/V02_inputs_preparation_stars.Rmd | 47 ++++++++---- inst/doc/V02_inputs_preparation_stars.html | 81 ++++++++++++++------- inst/doc/V03_inputs_preparation_whitebox.R |only inst/doc/V03_inputs_preparation_whitebox.Rmd |only inst/doc/V03_inputs_preparation_whitebox.html |only man/as_transfr.Rd | 2 man/convolution.Rd | 2 man/inversion.Rd | 4 - man/lagtime.Rd | 2 man/mixr.Rd | 18 ++-- man/plot.Rd | 4 - man/rapriori.Rd | 2 man/uh.Rd | 4 - man/velocity.Rd | 4 - vignettes/V01_get_started.Rmd | 22 ++--- vignettes/V02_inputs_preparation_stars.Rmd | 47 ++++++++---- vignettes/V03_inputs_preparation_whitebox.Rmd |only 36 files changed, 343 insertions(+), 250 deletions(-)
Title: 'dplyr'-Like Syntax for Summary Statistics of Survey Data
Description: Use piping, verbs like 'group_by' and 'summarize', and other
'dplyr' inspired syntactic style when calculating summary statistics on survey
data using functions from the 'survey' package.
Author: Greg Freedman Ellis [aut, cre],
Thomas Lumley [ctb],
Tomasz Żoltak [ctb],
Ben Schneider [aut, ctb],
Pavel N. Krivitsky [ctb]
Maintainer: Greg Freedman Ellis <greg.freedman@gmail.com>
Diff between srvyr versions 1.1.1 dated 2022-02-20 and 1.1.2 dated 2022-10-05
DESCRIPTION | 8 MD5 | 20 - NAMESPACE | 1 NEWS.md | 3 R/interaction.R | 9 R/manip.r | 2 R/subset_svy_vars.R | 4 build/vignette.rds |binary inst/doc/extending-srvyr.html | 297 +++++++++++++++++++++++++-- inst/doc/srvyr-database.html | 316 ++++++++++++++++++++++++++--- inst/doc/srvyr-vs-survey.html | 457 ++++++++++++++++++++++++++++++++++++------ 11 files changed, 984 insertions(+), 133 deletions(-)
Title: Parsing and Code Generation Functions for 'rxode2'
Description: Provides the parsing needed for 'rxode2' (Wang, Hallow and
James (2016) <doi:10.1002/psp4.12052>). It also provides the 'stan'
based advan linear compartment model solutions with gradients
(Carpenter et al (2015), <arXiv:1509.07164>) needed in 'nlmixr2'
(Fidler et al (2019) <doi:10.1002/psp4.12445>) needed in 'nlmixr2'.
This split will reduce computational burden of recompiling 'rxode2'.
Author: Matthew L. Fidler [aut, cre] ,
Wenping Wang [aut],
Richard Upton [ctb]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>
Diff between rxode2parse versions 2.0.9 dated 2022-10-05 and 2.0.10 dated 2022-10-05
DESCRIPTION | 6 ++--- MD5 | 38 +++++++++++++++++++------------------ NEWS.md | 4 +++ R/rxode2parse_md5.R | 2 - README.md | 7 ++++++ inst/include/rxode2_model_shared.c | 4 +-- inst/include/rxode2_model_shared.h | 4 +-- inst/include/rxode2parse.h | 1 inst/include/rxode2parseVer.h | 2 - inst/tools/workaround.R | 6 ++--- src/codegen.c | 4 +-- src/codegen2.h |only src/genModelVars.c | 2 - src/genModelVars.h | 14 ++++++------- src/init.c | 6 ++--- src/parseSyntaxErrors.h | 4 +-- src/qs.cpp | 2 - src/tran.c | 19 ++++++++---------- src/tran.g.d_parser.h |only src/tran.h | 4 +-- src/utilc.c | 4 +-- 21 files changed, 73 insertions(+), 60 deletions(-)
Title: Datasets to Measure the Alignment of Corporate Loan Books with
Climate Goals
Description: These datasets support the implementation in R of the
software 'PACTA' (Paris Agreement Capital Transition Assessment),
which is a free tool that calculates the alignment between corporate
lending portfolios and climate scenarios
(<https://www.transitionmonitor.com/>). Financial institutions use
'PACTA' to study how their capital allocation decisions align with
climate change mitigation goals. Because both financial institutions
and market data providers keep their data private, this package
provides fake, public data to enable the development and use of
'PACTA' in R.
Author: Jackson Hoffart [aut, cre, dtc]
,
Mauro Lepore [aut, ctr] ,
Rocky Mountain Institute [cph, fnd]
Maintainer: Jackson Hoffart <jackson.hoffart@gmail.com>
Diff between r2dii.data versions 0.3.0 dated 2022-05-05 and 0.3.1 dated 2022-10-05
r2dii.data-0.3.0/r2dii.data/man/figures/logo.svg |only r2dii.data-0.3.1/r2dii.data/DESCRIPTION | 23 +-- r2dii.data-0.3.1/r2dii.data/MD5 | 54 +++---- r2dii.data-0.3.1/r2dii.data/NEWS.md | 5 r2dii.data-0.3.1/r2dii.data/R/classification_bridge.R | 2 r2dii.data-0.3.1/r2dii.data/R/co2_intensity_scenario_demo.R | 3 r2dii.data-0.3.1/r2dii.data/R/scenario_demo_2020.R | 3 r2dii.data-0.3.1/r2dii.data/R/sector_classifications.R | 2 r2dii.data-0.3.1/r2dii.data/README.md | 69 ++++------ r2dii.data-0.3.1/r2dii.data/man/abcd_demo.Rd | 17 -- r2dii.data-0.3.1/r2dii.data/man/cnb_classification.Rd | 8 - r2dii.data-0.3.1/r2dii.data/man/co2_intensity_scenario_demo.Rd | 13 - r2dii.data-0.3.1/r2dii.data/man/data_dictionary.Rd | 5 r2dii.data-0.3.1/r2dii.data/man/figures/logo.png |only r2dii.data-0.3.1/r2dii.data/man/gics_classification.Rd | 8 - r2dii.data-0.3.1/r2dii.data/man/green_or_brown.Rd | 4 r2dii.data-0.3.1/r2dii.data/man/isic_classification.Rd | 7 - r2dii.data-0.3.1/r2dii.data/man/iso_codes.Rd | 3 r2dii.data-0.3.1/r2dii.data/man/loanbook_demo.Rd | 22 --- r2dii.data-0.3.1/r2dii.data/man/nace_classification.Rd | 8 - r2dii.data-0.3.1/r2dii.data/man/naics_classification.Rd | 7 - r2dii.data-0.3.1/r2dii.data/man/overwrite_demo.Rd | 8 - r2dii.data-0.3.1/r2dii.data/man/psic_classification.Rd | 8 - r2dii.data-0.3.1/r2dii.data/man/r2dii.data-package.Rd | 14 +- r2dii.data-0.3.1/r2dii.data/man/region_isos.Rd | 4 r2dii.data-0.3.1/r2dii.data/man/region_isos_demo.Rd | 6 r2dii.data-0.3.1/r2dii.data/man/scenario_demo_2020.Rd | 14 -- r2dii.data-0.3.1/r2dii.data/man/sector_classifications.Rd | 7 - r2dii.data-0.3.1/r2dii.data/man/sic_classification.Rd | 7 - 29 files changed, 118 insertions(+), 213 deletions(-)
Title: Landscape Epidemiology and Evolution
Description: A stochastic, spatially-explicit, demo-genetic model simulating the spread and evolution
of a plant pathogen in a heterogeneous landscape to assess resistance deployment strategies.
It is based on a spatial geometry for describing the landscape and allocation of different cultivars,
a dispersal kernel for the dissemination of the pathogen, and a SEIR
('Susceptible-Exposed-Infectious-Removed’) structure with a discrete time step.
It provides a useful tool to assess the performance of a wide range of deployment options with
respect to their epidemiological, evolutionary and economic outcomes.
Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett,
Peter H Thrall (2018) <doi:10.1371/journal.pcbi.1006067>.
Author: Loup Rimbaud [aut] ,
Julien Papaix [aut],
Jean-Francois Rey [aut, cre] ,
Marta Zaffaroni [ctb] ,
Jean-Loup Gaussen [ctb]
Maintainer: Jean-Francois Rey <jean-francois.rey@inrae.fr>
Diff between landsepi versions 1.2.0 dated 2022-10-05 and 1.2.1 dated 2022-10-05
DESCRIPTION | 6 +++--- MD5 | 28 ++++++++++++++-------------- R/Methods-LandsepiParams.R | 8 ++++---- R/landsepi.R | 6 +++--- configure | 18 +++++++++--------- configure.ac | 2 +- inst/doc/O1-run_simple_simul.html | 4 ++-- inst/doc/O4-run_sex_repro.html | 4 ++-- inst/doc/landsepi_poster.pdf |binary inst/doc/list_of_parameters.pdf |binary man/initialize-methods.Rd | 2 +- man/landsepi-package.Rd | 2 +- man/print-methods.Rd | 2 +- man/show-methods.Rd | 2 +- man/summary-methods.Rd | 2 +- 15 files changed, 43 insertions(+), 43 deletions(-)
Title: Extending Lasso Model Fitting to Big Data
Description: Extend lasso and elastic-net model fitting for ultra
high-dimensional, multi-gigabyte data sets that cannot be loaded into
memory. Designed to be more memory- and computation-efficient than existing
lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing
the user to analyze big data analysis even on an ordinary laptop.
Author: Yaohui Zeng [aut],
Chuyi Wang [aut],
Patrick Breheny [aut, cre]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>
Diff between biglasso versions 1.5.1 dated 2022-03-09 and 1.5.2 dated 2022-10-05
DESCRIPTION | 32 ++++++++++++++++++++------------ MD5 | 20 ++++++++++---------- NEWS.md | 4 ++++ R/predict.R | 10 +++++----- build/vignette.rds |binary inst/CITATION | 21 ++++++++++++--------- inst/doc/biglasso.R | 9 ++++----- inst/doc/biglasso.Rmd | 9 ++++----- inst/doc/biglasso.html | 33 ++++++++++++++++++++------------- man/predict.biglasso.Rd | 6 +++--- vignettes/biglasso.Rmd | 9 ++++----- 11 files changed, 86 insertions(+), 67 deletions(-)
Title: Schloss Lab Tools for Reproducible Microbiome Research
Description: A collection of useful functions and example code created and
used by the Schloss Lab for reproducible microbiome research. Perform
common tasks like read files created by mothur <https://mothur.org/>,
tidy up your microbiome data, and format R Markdown documents for
publication. See the website <http://www.schlosslab.org/schtools/>
for more information, documentation, and examples.
Author: Kelly Sovacool [aut, cre] ,
Nick Lesniak [aut] ,
Patrick Schloss [aut],
Sarah Lucas [ctb] ,
Courtney Armour [ctb] ,
Jacqueline Moltzau [ctb] ,
Andrew Hannah [ctb],
Nielson Baxter [ctb],
Alyxandria Schubert [ctb],
Kathryn Iverson [ctb]
Maintainer: Kelly Sovacool <sovacool@umich.edu>
Diff between schtools versions 0.2.1 dated 2022-05-11 and 0.3.0 dated 2022-10-05
DESCRIPTION | 14 +- MD5 | 35 +++-- NAMESPACE | 5 NEWS.md | 19 ++ R/calculate.R |only R/plot.R |only R/shared.R |only R/utils.R | 47 ++++++ README.md | 43 +++--- build/partial.rdb |only build/vignette.rds |binary inst/doc/introduction.R | 72 ++++++---- inst/doc/introduction.Rmd | 118 ++++++++++++----- inst/doc/introduction.html | 272 ++++++++++++++++++++++++++++++---------- inst/extdata/test.shared |only man/calc_relabun.Rd |only man/log_snakemake.Rd |only man/pool_taxon_counts.Rd |only man/theme_lucas.Rd |only man/theme_sovacool.Rd |only tests/testthat/test-calculate.R |only tests/testthat/test-plot.R |only tests/testthat/test-shared.R |only tests/testthat/test-utils.R | 40 +++++ vignettes/introduction.Rmd | 118 ++++++++++++----- 25 files changed, 591 insertions(+), 192 deletions(-)
Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use
in photobiology and radiation meteorology and climatology. Calculation of
effective (weighted) and not-weighted irradiances/doses, fluence rates,
transmittance, reflectance, absorptance, absorbance and diverse ratios and
other derived quantities from spectral data. Local maxima and minima: peaks,
valleys and spikes. Conversion between energy-and photon-based units.
Wavelength interpolation. Astronomical calculations related solar angles and
day length. Colours and vision. This package is part of the 'r4photobiology'
suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] ,
Titta K. Kotilainen [ctb] ,
Glenn Davis [ctb],
Agnese Fazio [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>
Diff between photobiology versions 0.10.12 dated 2022-08-05 and 0.10.13 dated 2022-10-05
DESCRIPTION | 10 MD5 | 31 +- NAMESPACE | 2 NEWS.md | 20 - R/mspct.summary.r |only R/rbindspct.r | 2 R/spct.classes.r | 36 +- R/spct.irrad.r | 12 R/spct.summaries.r | 6 R/trim.waveband.r | 3 README.md | 10 inst/doc/userguide-0-r4p-introduction.html | 126 ++++---- inst/doc/userguide-1-radiation.html | 440 ++++++++++------------------- inst/doc/userguide-2-astronomy.html | 200 ++++++------- man/print.Rd | 108 +++---- man/setFilterProperties.Rd | 2 man/summary.Rd | 83 +++-- 17 files changed, 526 insertions(+), 565 deletions(-)
Title: Kernel Partial Correlation Coefficient
Description: Implementations of two empirical versions the kernel partial correlation (KPC) coefficient
and the associated variable selection algorithms. KPC is a measure of the strength of conditional
association between Y and Z given X, with X, Y, Z being random variables taking values in
general topological spaces. As the name suggests, KPC is defined in terms of kernels on
reproducing kernel Hilbert spaces (RKHSs). The population KPC is a deterministic number
between 0 and 1; it is 0 if and only if Y is conditionally independent of Z given X, and it is 1 if
and only if Y is a measurable function of Z and X. One empirical KPC estimator is based on
geometric graphs, such as K-nearest neighbor graphs and minimum spanning trees, and is
consistent under very weak conditions. The other empirical estimator, defined using conditional
mean embeddings (CMEs) as used in the RKHS literature, is also consistent under suitable
conditions. Using KPC, a stepwise forward variable selection algorithm KFOCI (usin [...truncated...]
Author: Zhen Huang [aut, cre],
Nabarun Deb [ctb],
Bodhisattva Sen [ctb]
Maintainer: Zhen Huang <zh2395@columbia.edu>
Diff between KPC versions 0.1.1 dated 2021-12-08 and 0.1.2 dated 2022-10-05
DESCRIPTION | 12 ++++++----- MD5 | 20 +++++++++--------- NEWS.md | 9 ++++---- R/KPC.R | 58 +++++++++++++++++++++--------------------------------- README.md | 13 ++++++------ man/KFOCI.Rd | 30 +++++++-------------------- man/KMAc.Rd | 6 ++--- man/KPCRKHS.Rd | 2 - man/KPCRKHS_VS.Rd | 12 +++++------ man/KPCgraph.Rd | 6 +++-- man/Klin.Rd | 4 +-- 11 files changed, 76 insertions(+), 96 deletions(-)
Title: 1000 Genomes Project Metadata
Description: Metadata about populations and data about samples from the 1000 Genomes Project, including the 2,504 samples sequenced for the Phase 3 release and the expanded collection of 3,202 samples with 602 additional trios. The data is described in Auton et al. (2015) <doi:10.1038/nature15393> and Byrska-Bishop et al. (2022) <doi:10.1016/j.cell.2022.08.004>, and raw data is available at <http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/>. See Turner (2022) <doi:10.48550/arXiv.2210.00539> for more details.
Author: Stephen Turner [aut, cre]
Maintainer: Stephen Turner <vustephen@gmail.com>
Diff between kgp versions 1.0.0 dated 2022-09-13 and 1.1.0 dated 2022-10-05
DESCRIPTION | 8 - MD5 | 28 ++-- NEWS.md | 7 + R/kgp.R | 32 ++++- R/sysdata.rda |binary README.md | 217 +++++++++++++++++++++++++---------- data/kgp.R | 8 + inst/extdata/README.md | 4 inst/extdata/igsr_populations.tsv |only man/allmeta.Rd |only man/figures/README-kgp3barplot-1.png |binary man/figures/README-kgpmap-1.png |only man/figures/README-pedplot-1.png |only man/kgp-package.Rd | 2 man/kgp3.Rd | 2 man/kgpe.Rd | 2 man/kgpmeta.Rd | 7 - 17 files changed, 233 insertions(+), 84 deletions(-)
Title: Dynamic Hazard Models using State Space Models
Description: Contains functions that lets you fit dynamic hazard models using
state space models. The first implemented model is described in Fahrmeir
(1992) <doi:10.1080/01621459.1992.10475232> and Fahrmeir (1994)
<doi:10.1093/biomet/81.2.317>. Extensions hereof are available where the
Extended Kalman filter is replaced by an unscented Kalman filter.
See Christoffersen (2021) <doi:10.18637/jss.v099.i07> for more details.
Particle filters and smoothers are also supported more general state space
models.
Author: Benjamin Christoffersen [cre, aut]
,
Alan Miller [cph],
Anthony Williams [cph],
Boost developers [cph],
R-core [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>
Diff between dynamichazard versions 1.0.1 dated 2021-10-11 and 1.0.2 dated 2022-10-05
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- NEWS.md | 3 +++ build/vignette.rds |binary inst/doc/Bootstrap_illustration.pdf |binary inst/doc/Comparing_methods_for_logistic_models.pdf |binary inst/doc/Diagnostics.pdf |binary inst/doc/Particle_filtering.pdf |binary inst/doc/ddhazard.pdf |binary src/ddhazard_fit.cpp | 7 +++---- 10 files changed, 18 insertions(+), 16 deletions(-)
Title: Helper Functions for Working with 'REDCap' Data
Description: Helper functions for processing 'REDCap' data in R. 'REDCap' is a
web-enabled application for building and managing surveys and databases
developed at Vanderbilt University.
Author: Raymond Balise [aut, cre] ,
Gabriel Odom [aut] ,
Layla Bouzoubaa [aut] ,
Wayne DeFreitas [aut] ,
Lauren Nahodyl [ctb]
Maintainer: Raymond Balise <balise@miami.edu>
Diff between tidyREDCap versions 0.2.2 dated 2022-01-30 and 1.0.1 dated 2022-10-05
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Title: Metabolomics Personalized Pathway Analysis Tool
Description: A comprehensive analysis tool for metabolomics data. It consists a variety of functional modules, including several new modules: a pre-processing module for normalization and imputation, an exploratory data analysis module for dimension reduction and source of variation analysis, a classification module with the new deep-learning method and other machine-learning methods, a prognosis module with cox-PH and neural-network based Cox-nnet methods, and pathway analysis module to visualize the pathway and interpret metabolite-pathway relationships. References: H. Paul Benton <http://www.metabolomics-forum.com/index.php?topic=281.0> Jeff Xia <https://github.com/cangfengzhe/Metabo/blob/master/MetaboAnalyst/website/name_match.R> Travers Ching, Xun Zhu, Lana X. Garmire (2018) <doi:10.1371/journal.pcbi.1006076>.
Author: Xinying Fang [aut],
Yu Liu [aut],
Zhijie Ren [aut],
Fadhl Alakwaa [aut],
Sijia Huang [aut],
Lana Garmire [aut, cre]
Maintainer: Lana Garmire <lana.garmire.group@gmail.com>
Diff between lilikoi versions 2.1.0 dated 2022-02-22 and 2.1.1 dated 2022-10-05
DESCRIPTION | 8 +-- MD5 | 12 ++-- NAMESPACE | 4 - R/lilikoi.featuresSelection.r | 5 - R/lilikoi.machine_learning.r | 3 - build/vignette.rds |binary inst/doc/Vignette.html | 109 +++++++++++++++++++++++++++++++++++------- 7 files changed, 107 insertions(+), 34 deletions(-)
More information about ExclusionTable at CRAN
Permanent link
Title: Port of 'Dparser' Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and
R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita
(1987) algorithm. (Paper can be found at <https://aclanthology.org/P84-1073.pdf>).
The original 'dparser' package documentation can be found at <https://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like
RxODE's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate
them to R code. To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use
#include <dparser.h>. This also provides a R-based port of the make_dparser <https://dparser.sourceforge.net/d/make_dparser.cat> command called
mkdparser(). Additiona [...truncated...]
Author: Matthew Fidler [aut, cre],
John Plevyak [aut, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Diff between dparser versions 1.3.1-5 dated 2022-03-21 and 1.3.1-6 dated 2022-10-05
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tests/testthat/bnf.g.1 | 204 +-- tests/testthat/g1.test.g | 12 tests/testthat/g1.test.g.1 | 2 tests/testthat/g1.test.g.1.check | 12 tests/testthat/g1.test.g.1.out | 12 tests/testthat/g10.test.g | 4 tests/testthat/g10.test.g.1 | 2 tests/testthat/g10.test.g.1.check | 4 tests/testthat/g10.test.g.1.out | 4 tests/testthat/g11.test.g | 8 tests/testthat/g11.test.g.1 | 2 tests/testthat/g11.test.g.1.check | 4 tests/testthat/g11.test.g.1.out | 4 tests/testthat/g11.test.g.2 | 2 tests/testthat/g11.test.g.2.check | 4 tests/testthat/g11.test.g.2.out | 4 tests/testthat/g11.test.g.3 | 2 tests/testthat/g11.test.g.3.check | 4 tests/testthat/g11.test.g.3.out | 4 tests/testthat/g12.test.g | 2 tests/testthat/g12.test.g.1 | 2 tests/testthat/g12.test.g.1.check | 4 tests/testthat/g12.test.g.1.out | 4 tests/testthat/g13.test.g | 2 tests/testthat/g13.test.g.1 | 2 tests/testthat/g13.test.g.1.check | 4 tests/testthat/g13.test.g.1.out | 4 tests/testthat/g14.test.g | 2 tests/testthat/g14.test.g.1 | 2 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Title: A Collection of Contrast Methods
Description: One degree of freedom contrasts for 'lm', 'glm', 'gls', and 'geese' objects.
Author: Alan O'Callaghan [cre],
Max Kuhn [aut],
Steve Weston [aut],
Jed Wing [aut],
James Forester [aut],
Thorn Thaler [aut]
Maintainer: Alan O'Callaghan <alan.ocallaghan@outlook.com>
Diff between contrast versions 0.24.1 dated 2021-12-14 and 0.24.2 dated 2022-10-05
DESCRIPTION | 10 MD5 | 15 NEWS.md | 3 R/print.contrast.R | 2 build/vignette.rds |binary inst/doc/contrast.html | 748 +++++++++++++++++++++++----------------------- man/contrast.lm.Rd | 28 - man/two_factor_incompl.Rd | 6 tests/testthat/test-glm.R |only 9 files changed, 412 insertions(+), 400 deletions(-)
Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with
support for SSH and HTTPS remotes. All functions in 'gert' use basic R data
types (such as vectors and data-frames) for their arguments and return values.
User credentials are shared with command line 'git' through the git-credential
store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] ,
Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between gert versions 1.9.0 dated 2022-09-15 and 1.9.1 dated 2022-10-05
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS | 4 ++++ inst/doc/gert.html | 19 ++++++++++--------- src/init.c | 4 ++-- src/utils.c | 2 +- src/utils.h | 2 +- src/version.c | 4 ++-- 8 files changed, 30 insertions(+), 25 deletions(-)
Title: Compare Microbial Networks of 'trans_network' Class of
'microeco' Package
Description: Compare microbial co-occurrence networks created from 'trans_network' class of 'microeco' package <https://github.com/ChiLiubio/microeco>.
This package is the extension of 'trans_network' class of 'microeco' package and especially useful when different networks are constructed and analyzed simultaneously.
Author: Chi Liu [aut, cre],
Minjie Yao [ctb],
Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>
Diff between meconetcomp versions 0.1.0 dated 2022-09-06 and 0.2.0 dated 2022-10-05
DESCRIPTION | 13 +++++++------ MD5 | 44 +++++++++++++++++++++++--------------------- NAMESPACE | 3 +++ R/cal_module.R | 8 ++++---- R/cal_network_attr.R | 4 ++-- R/edge_comp.R | 8 ++++---- R/edge_node_distance.R |only R/edge_tax_comp.R | 9 +++++---- R/get_edge_table.R | 4 ++-- R/get_node_table.R | 4 ++-- R/import.R | 2 ++ R/node_comp.R | 8 ++++---- R/subnet_property.R | 4 ++-- R/subset_network.R | 8 ++++---- man/cal_module.Rd | 8 ++++---- man/cal_network_attr.Rd | 4 ++-- man/edge_comp.Rd | 8 ++++---- man/edge_node_distance.Rd |only man/edge_tax_comp.Rd | 9 +++++---- man/get_edge_table.Rd | 4 ++-- man/get_node_table.Rd | 4 ++-- man/node_comp.Rd | 8 ++++---- man/subnet_property.Rd | 4 ++-- man/subset_network.Rd | 8 ++++---- 24 files changed, 93 insertions(+), 83 deletions(-)
Title: Import Surface Meteorological Data from NOAA Integrated Surface
Database (ISD)
Description: Functions to import data from more than 30,000 surface
meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface
Database (ISD, see <https://www.ncei.noaa.gov/products/land-based-station/integrated-surface-database>).
Author: David Carslaw [aut, cre]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>
Diff between worldmet versions 0.9.5 dated 2021-04-20 and 0.9.6 dated 2022-10-05
DESCRIPTION | 12 ++-- MD5 | 18 +++--- R/exportADMS.R | 2 R/metNOAA.R | 125 ++++++++++++++++++++++----------------------- R/worldmet-package.R | 2 README.md | 71 +++++++++++++------------ data/weatherCodes.rda |binary man/figures/windRose-1.png |binary man/importNOAA.Rd | 2 man/worldmet.Rd | 2 10 files changed, 120 insertions(+), 114 deletions(-)
Title: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum
Likelihood Estimation
Description: Run mixed-effects models that include weights at every level. The WeMix package fits a weighted mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. Both linear and logit models are supported. Models may have up to three levels.
Author: Emmanuel Sikali [pdr],
Paul Bailey [aut, cre],
Claire Kelley [aut],
Trang Nguyen [aut],
Huade Huo [aut],
Eric Buehler [ctb],
Christian Kjeldsen [ctb]
Maintainer: Paul Bailey <pbailey@air.org>
Diff between WeMix versions 3.2.2 dated 2022-09-23 and 3.2.4 dated 2022-10-05
DESCRIPTION | 8 MD5 | 11 inst/doc/Introduction_to_Mixed_Effects_Models_With_WeMix.pdf |binary inst/doc/Weighted_Linear_Mixed_Effects_Models.pdf |binary tests/testthat/test-1-main.R | 667 +---------- tests/testthat/test-2-four-level.R |only tests/testthat/test-4-ECLS.R |only tests/testthat/test-5-TIMSS.R |only 8 files changed, 98 insertions(+), 588 deletions(-)
Title: R Interface to the Vowpal Wabbit
Description: The 'Vowpal Wabbit' project is a fast out-of-core learning
system sponsored by Microsoft Research (having started at Yahoo! Research)
and written by John Langford along with a number of contributors. This R
package does not include the distributed computing implementation of the
cluster/ directory of the upstream sources. Use of the software as a network
service is also not directly supported as the aim is a simpler direct call
from R for validation and comparison. Note that this package contains an
embedded older version of 'Vowpal Wabbit'. The package 'rvw' at the GitHub
repo <https://github.com/rvw-org/rvw-legacy> can provide an alternative using
an external 'Vowpal Wabbit' library installation.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RVowpalWabbit versions 0.0.16 dated 2021-10-18 and 0.0.17 dated 2022-10-05
ChangeLog | 14 DESCRIPTION | 9 MD5 | 12 R/vw.R | 8 README.md | 1 configure | 2714 ++++++++++++++++++++++++++++++++++++++++------------------- configure.ac | 2 7 files changed, 1893 insertions(+), 867 deletions(-)
Title: Access Uber's H3 Library
Description: Provides access to Uber's H3 library for geospatial indexing via its JavaScript transpile 'h3-js' <https://github.com/uber/h3-js> and 'V8' <https://github.com/jeroen/v8>.
Author: Lauren O'Brien [aut, cre]
Maintainer: Lauren O'Brien <obrlsoilau@gmail.com>
Diff between h3jsr versions 1.2.3 dated 2022-01-04 and 1.3.0 dated 2022-10-05
h3jsr-1.2.3/h3jsr/man/get_kring.Rd |only h3jsr-1.2.3/h3jsr/man/get_kring_list.Rd |only h3jsr-1.2.3/h3jsr/man/get_local_h3.Rd |only h3jsr-1.2.3/h3jsr/man/h3_to_line.Rd |only h3jsr-1.2.3/h3jsr/man/h3_to_point.Rd |only h3jsr-1.2.3/h3jsr/man/h3_to_polygon.Rd |only h3jsr-1.2.3/h3jsr/man/point_to_h3.Rd |only h3jsr-1.2.3/h3jsr/man/polyfill.Rd |only h3jsr-1.2.3/h3jsr/man/prep_for_pt2h3.Rd |only h3jsr-1.2.3/h3jsr/man/res_count.Rd |only h3jsr-1.2.3/h3jsr/man/set_to_multipolygon.Rd |only h3jsr-1.3.0/h3jsr/DESCRIPTION | 11 h3jsr-1.3.0/h3jsr/MD5 | 144 - h3jsr-1.3.0/h3jsr/NAMESPACE | 156 - h3jsr-1.3.0/h3jsr/NEWS.md | 76 h3jsr-1.3.0/h3jsr/R/core_api.R | 290 ++ h3jsr-1.3.0/h3jsr/R/custom_fuctions.R | 52 h3jsr-1.3.0/h3jsr/R/h3_algorithms.R | 161 - h3jsr-1.3.0/h3jsr/R/helpers.R | 72 h3jsr-1.3.0/h3jsr/R/info_utilities.R | 161 - h3jsr-1.3.0/h3jsr/R/local_coordinates.R | 22 h3jsr-1.3.0/h3jsr/R/unidirectional_edges.R | 56 h3jsr-1.3.0/h3jsr/R/vertexes.R |only h3jsr-1.3.0/h3jsr/README.md | 23 h3jsr-1.3.0/h3jsr/build/vignette.rds |binary h3jsr-1.3.0/h3jsr/data/h3_info_table.rda |binary h3jsr-1.3.0/h3jsr/inst/doc/intro-to-h3jsr.R | 105 h3jsr-1.3.0/h3jsr/inst/doc/intro-to-h3jsr.Rmd | 136 - h3jsr-1.3.0/h3jsr/inst/doc/intro-to-h3jsr.html | 1589 ++++++++++++++- h3jsr-1.3.0/h3jsr/inst/js/h3-js.umd.js | 2 h3jsr-1.3.0/h3jsr/man/are_neighbours.Rd | 2 h3jsr-1.3.0/h3jsr/man/cell_area.Rd | 7 h3jsr-1.3.0/h3jsr/man/cell_to_line.Rd |only h3jsr-1.3.0/h3jsr/man/cell_to_point.Rd |only h3jsr-1.3.0/h3jsr/man/cell_to_polygon.Rd |only h3jsr-1.3.0/h3jsr/man/cell_to_splitlong.Rd |only h3jsr-1.3.0/h3jsr/man/cells_to_multipolygon.Rd |only h3jsr-1.3.0/h3jsr/man/compact.Rd | 4 h3jsr-1.3.0/h3jsr/man/degs_to_rads.Rd |only h3jsr-1.3.0/h3jsr/man/edge_length.Rd | 13 h3jsr-1.3.0/h3jsr/man/get_base_cell.Rd | 2 h3jsr-1.3.0/h3jsr/man/get_cell_vertex.Rd |only h3jsr-1.3.0/h3jsr/man/get_cell_vertexes.Rd |only h3jsr-1.3.0/h3jsr/man/get_centerchild.Rd | 2 h3jsr-1.3.0/h3jsr/man/get_children.Rd | 6 h3jsr-1.3.0/h3jsr/man/get_disk.Rd |only h3jsr-1.3.0/h3jsr/man/get_disk_list.Rd |only h3jsr-1.3.0/h3jsr/man/get_faces.Rd | 6 h3jsr-1.3.0/h3jsr/man/get_gcdist.Rd | 8 h3jsr-1.3.0/h3jsr/man/get_local_cell.Rd |only h3jsr-1.3.0/h3jsr/man/get_local_ij.Rd | 8 h3jsr-1.3.0/h3jsr/man/get_parent.Rd | 2 h3jsr-1.3.0/h3jsr/man/get_pentagons.Rd | 7 h3jsr-1.3.0/h3jsr/man/get_res.Rd | 6 h3jsr-1.3.0/h3jsr/man/get_ring.Rd | 11 h3jsr-1.3.0/h3jsr/man/get_uddest.Rd | 2 h3jsr-1.3.0/h3jsr/man/get_udedge.Rd | 8 h3jsr-1.3.0/h3jsr/man/get_udedges.Rd | 2 h3jsr-1.3.0/h3jsr/man/get_udends.Rd | 2 h3jsr-1.3.0/h3jsr/man/get_udorigin.Rd | 4 h3jsr-1.3.0/h3jsr/man/grid_distance.Rd | 2 h3jsr-1.3.0/h3jsr/man/grid_path.Rd | 10 h3jsr-1.3.0/h3jsr/man/h3jsr-package.Rd | 7 h3jsr-1.3.0/h3jsr/man/is_pentagon.Rd | 2 h3jsr-1.3.0/h3jsr/man/is_rc3.Rd | 2 h3jsr-1.3.0/h3jsr/man/is_valid.Rd | 2 h3jsr-1.3.0/h3jsr/man/is_valid_edge.Rd | 10 h3jsr-1.3.0/h3jsr/man/is_valid_vertex.Rd |only h3jsr-1.3.0/h3jsr/man/num_cells.Rd |only h3jsr-1.3.0/h3jsr/man/point_to_cell.Rd |only h3jsr-1.3.0/h3jsr/man/polygon_to_cells.Rd |only h3jsr-1.3.0/h3jsr/man/prep_for_polyfill.Rd | 6 h3jsr-1.3.0/h3jsr/man/prep_for_pt2cell.Rd |only h3jsr-1.3.0/h3jsr/man/rads_to_degs.Rd |only h3jsr-1.3.0/h3jsr/man/res_area.Rd | 4 h3jsr-1.3.0/h3jsr/man/res_cendist.Rd | 4 h3jsr-1.3.0/h3jsr/man/res_length.Rd | 8 h3jsr-1.3.0/h3jsr/man/splitlong_to_cell.Rd |only h3jsr-1.3.0/h3jsr/man/udedge_to_line.Rd | 2 h3jsr-1.3.0/h3jsr/man/uncompact.Rd | 2 h3jsr-1.3.0/h3jsr/man/vertex_to_point.Rd |only h3jsr-1.3.0/h3jsr/tests/testthat/test_algorithms.R | 65 h3jsr-1.3.0/h3jsr/tests/testthat/test_core_api.R | 142 - h3jsr-1.3.0/h3jsr/tests/testthat/test_custom_functions.R | 24 h3jsr-1.3.0/h3jsr/tests/testthat/test_helpers.R | 20 h3jsr-1.3.0/h3jsr/tests/testthat/test_info_utils.R | 50 h3jsr-1.3.0/h3jsr/tests/testthat/test_local_coords.R | 10 h3jsr-1.3.0/h3jsr/tests/testthat/test_vertex_functions.R |only h3jsr-1.3.0/h3jsr/vignettes/intro-to-h3jsr.Rmd | 136 - 89 files changed, 2748 insertions(+), 918 deletions(-)
Title: Age-Specific Survival Analysis from Incomplete
Capture-Recapture/Recovery Data
Description: Estimates survival and mortality with covariates from capture-recapture/recovery data in a Bayesian framework when many individuals are of unknown age. It includes tools for data checking, model diagnostics and outputs such as life-tables and plots.
Author: Fernando Colchero, Owen Jones, Maren Rebke
Maintainer: Fernando Colchero <colchero@imada.sdu.dk>
Diff between BaSTA versions 1.9.4 dated 2015-11-08 and 1.9.5 dated 2022-10-05
DESCRIPTION | 8 - MD5 | 30 ++--- R/CensusToCaptHist.R | 33 ++--- R/DataCheck.R | 142 ++++++++++++++---------- R/MakeCovMat.R | 2 R/basta.R | 291 ++++++++++++++++++++++++++++++++++----------------- R/basta.default.R | 8 - R/multibasta.R | 4 R/plot.basta.R | 10 + data/sim1.RData |binary data/sim1Out.RData |binary man/BaSTA-package.Rd | 5 man/DataCheck.Rd | 2 man/MakeLifeTable.Rd | 2 man/basta.Rd | 4 man/multibasta.Rd | 2 16 files changed, 331 insertions(+), 212 deletions(-)
Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various
statistical models. Beyond computing p values, CIs, and other indices
for a wide variety of models (see list of supported models using the
function 'insight::supported_models()'), this package implements
features like bootstrapping or simulating of parameters and models,
feature reduction (feature extraction and variable selection) as well
as functions to describe data and variable characteristics (e.g.
skewness, kurtosis, smoothness or distribution).
Author: Daniel Luedecke [aut, cre] ,
Dominique Makowski [aut] ,
Mattan S. Ben-Shachar [aut] ,
Indrajeet Patil [aut] ,
Soeren Hoejsgaard [aut],
Brenton M. Wiernik [aut] ,
Zen J. Lau [ctb],
Vincent Arel-Bundock [ctb] ,
Jeffrey Girard [ctb] ,
Christina Maimone [re [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>
Diff between parameters versions 0.18.2 dated 2022-08-10 and 0.19.0 dated 2022-10-05
parameters-0.18.2/parameters/R/backports.R |only parameters-0.18.2/parameters/R/check_clusterstructure.R |only parameters-0.18.2/parameters/R/check_factorstructure.R |only parameters-0.18.2/parameters/R/check_heterogeneity.R |only parameters-0.18.2/parameters/R/get_scores.R |only parameters-0.18.2/parameters/man/check_clusterstructure.Rd |only parameters-0.18.2/parameters/man/check_factorstructure.Rd |only parameters-0.18.2/parameters/man/check_heterogeneity.Rd |only parameters-0.18.2/parameters/man/check_kmo.Rd |only parameters-0.18.2/parameters/man/check_sphericity_bartlett.Rd |only parameters-0.18.2/parameters/tests/testthat/test-checks.R |only parameters-0.19.0/parameters/DESCRIPTION | 36 parameters-0.19.0/parameters/MD5 | 452 +++--- parameters-0.19.0/parameters/NAMESPACE | 10 parameters-0.19.0/parameters/NEWS.md | 93 + parameters-0.19.0/parameters/R/1_model_parameters.R | 120 + parameters-0.19.0/parameters/R/2_ci.R | 12 parameters-0.19.0/parameters/R/3_p_value.R | 18 parameters-0.19.0/parameters/R/4_standard_error.R | 15 parameters-0.19.0/parameters/R/5_simulate_model.R | 59 parameters-0.19.0/parameters/R/bootstrap_model-emmeans.R | 4 parameters-0.19.0/parameters/R/bootstrap_model.R | 16 parameters-0.19.0/parameters/R/bootstrap_parameters.R | 23 parameters-0.19.0/parameters/R/ci_betwithin.R | 2 parameters-0.19.0/parameters/R/ci_generic.R | 15 parameters-0.19.0/parameters/R/ci_kenward.R | 2 parameters-0.19.0/parameters/R/ci_ml1.R | 2 parameters-0.19.0/parameters/R/ci_satterthwaite.R | 2 parameters-0.19.0/parameters/R/cluster_analysis.R | 92 - parameters-0.19.0/parameters/R/cluster_centers.R | 4 parameters-0.19.0/parameters/R/cluster_discrimination.R | 11 parameters-0.19.0/parameters/R/cluster_meta.R | 41 parameters-0.19.0/parameters/R/cluster_performance.R | 12 parameters-0.19.0/parameters/R/compare_parameters.R | 32 parameters-0.19.0/parameters/R/convert_efa_to_cfa.R | 6 parameters-0.19.0/parameters/R/display.R | 18 parameters-0.19.0/parameters/R/dof.R | 17 parameters-0.19.0/parameters/R/dof_betwithin.R | 4 parameters-0.19.0/parameters/R/dof_kenward.R | 6 parameters-0.19.0/parameters/R/dof_ml1.R | 8 parameters-0.19.0/parameters/R/dominance_analysis.R | 140 -- parameters-0.19.0/parameters/R/equivalence_test.R | 35 parameters-0.19.0/parameters/R/extract_parameters.R | 125 - parameters-0.19.0/parameters/R/extract_parameters_anova.R | 2 parameters-0.19.0/parameters/R/extract_random_parameters.R | 4 parameters-0.19.0/parameters/R/extract_random_variances.R | 56 parameters-0.19.0/parameters/R/factor_analysis.R | 8 parameters-0.19.0/parameters/R/format.R | 238 +++ parameters-0.19.0/parameters/R/format_p_adjust.R | 13 parameters-0.19.0/parameters/R/format_parameters.R | 114 + parameters-0.19.0/parameters/R/methods_BayesFM.R | 4 parameters-0.19.0/parameters/R/methods_BayesFactor.R | 69 parameters-0.19.0/parameters/R/methods_BayesX.R | 2 parameters-0.19.0/parameters/R/methods_DirichletReg.R | 4 parameters-0.19.0/parameters/R/methods_FactoMineR.R | 2 parameters-0.19.0/parameters/R/methods_MCMCglmm.R | 5 parameters-0.19.0/parameters/R/methods_PMCMRplus.R | 1 parameters-0.19.0/parameters/R/methods_aod.R | 2 parameters-0.19.0/parameters/R/methods_aov.R | 225 +-- parameters-0.19.0/parameters/R/methods_averaging.R | 4 parameters-0.19.0/parameters/R/methods_bamlss.R | 5 parameters-0.19.0/parameters/R/methods_base.R | 4 parameters-0.19.0/parameters/R/methods_bayesQR.R | 5 parameters-0.19.0/parameters/R/methods_bbmle.R | 8 parameters-0.19.0/parameters/R/methods_betareg.R | 6 parameters-0.19.0/parameters/R/methods_bfsl.R | 2 parameters-0.19.0/parameters/R/methods_brglm2.R | 8 parameters-0.19.0/parameters/R/methods_brms.R | 9 parameters-0.19.0/parameters/R/methods_car.R | 4 parameters-0.19.0/parameters/R/methods_cgam.R | 3 parameters-0.19.0/parameters/R/methods_cplm.R | 9 parameters-0.19.0/parameters/R/methods_dbscan.R | 2 parameters-0.19.0/parameters/R/methods_effect_size.R | 2 parameters-0.19.0/parameters/R/methods_emmeans.R | 28 parameters-0.19.0/parameters/R/methods_ergm.R | 4 parameters-0.19.0/parameters/R/methods_estimatr.R | 34 parameters-0.19.0/parameters/R/methods_fixest.R | 53 parameters-0.19.0/parameters/R/methods_gam.R | 11 parameters-0.19.0/parameters/R/methods_gamm4.R | 2 parameters-0.19.0/parameters/R/methods_gee.R | 20 parameters-0.19.0/parameters/R/methods_ggeffects.R | 10 parameters-0.19.0/parameters/R/methods_gjrm.R | 6 parameters-0.19.0/parameters/R/methods_glmm.R | 4 parameters-0.19.0/parameters/R/methods_glmmTMB.R | 90 - parameters-0.19.0/parameters/R/methods_glmx.R | 4 parameters-0.19.0/parameters/R/methods_hclust.R | 14 parameters-0.19.0/parameters/R/methods_htest.R | 562 +------- parameters-0.19.0/parameters/R/methods_ivfixed.R | 2 parameters-0.19.0/parameters/R/methods_kmeans.R | 2 parameters-0.19.0/parameters/R/methods_lavaan.R | 19 parameters-0.19.0/parameters/R/methods_lm.R | 4 parameters-0.19.0/parameters/R/methods_lme4.R | 36 parameters-0.19.0/parameters/R/methods_lmodel2.R | 2 parameters-0.19.0/parameters/R/methods_lqmm.R | 2 parameters-0.19.0/parameters/R/methods_marginaleffects.R | 43 parameters-0.19.0/parameters/R/methods_margins.R | 4 parameters-0.19.0/parameters/R/methods_mass.R | 2 parameters-0.19.0/parameters/R/methods_mediate.R | 4 parameters-0.19.0/parameters/R/methods_merTools.R | 4 parameters-0.19.0/parameters/R/methods_metafor.R | 6 parameters-0.19.0/parameters/R/methods_metaplus.R | 16 parameters-0.19.0/parameters/R/methods_mfx.R | 16 parameters-0.19.0/parameters/R/methods_mgcv.R | 2 parameters-0.19.0/parameters/R/methods_mhurdle.R | 10 parameters-0.19.0/parameters/R/methods_mice.R | 5 parameters-0.19.0/parameters/R/methods_mixmod.R | 2 parameters-0.19.0/parameters/R/methods_mixor.R | 10 parameters-0.19.0/parameters/R/methods_mjoint.R | 14 parameters-0.19.0/parameters/R/methods_mlm.R | 18 parameters-0.19.0/parameters/R/methods_model_fit.R | 4 parameters-0.19.0/parameters/R/methods_multcomp.R | 4 parameters-0.19.0/parameters/R/methods_mvord.R | 4 parameters-0.19.0/parameters/R/methods_nlme.R | 2 parameters-0.19.0/parameters/R/methods_ordinal.R | 6 parameters-0.19.0/parameters/R/methods_panelr.R | 2 parameters-0.19.0/parameters/R/methods_plm.R | 5 parameters-0.19.0/parameters/R/methods_posterior.R | 7 parameters-0.19.0/parameters/R/methods_pscl.R | 22 parameters-0.19.0/parameters/R/methods_psych.R | 15 parameters-0.19.0/parameters/R/methods_quantreg.R | 2 parameters-0.19.0/parameters/R/methods_rstan.R | 10 parameters-0.19.0/parameters/R/methods_rstanarm.R | 20 parameters-0.19.0/parameters/R/methods_sarlm.R | 2 parameters-0.19.0/parameters/R/methods_selection.R | 4 parameters-0.19.0/parameters/R/methods_sem.R | 4 parameters-0.19.0/parameters/R/methods_survey.R | 8 parameters-0.19.0/parameters/R/methods_systemfit.R | 4 parameters-0.19.0/parameters/R/methods_varest.R | 6 parameters-0.19.0/parameters/R/methods_vgam.R | 6 parameters-0.19.0/parameters/R/n_clusters.R | 64 parameters-0.19.0/parameters/R/n_clusters_easystats.R | 3 parameters-0.19.0/parameters/R/n_factors.R | 25 parameters-0.19.0/parameters/R/p_value_betwithin.R | 12 parameters-0.19.0/parameters/R/p_value_satterthwaite.R | 2 parameters-0.19.0/parameters/R/parameters-package.r |only parameters-0.19.0/parameters/R/parameters_type.R | 4 parameters-0.19.0/parameters/R/pool_parameters.R | 120 + parameters-0.19.0/parameters/R/principal_components.R | 302 ++-- parameters-0.19.0/parameters/R/print.compare_parameters.R | 23 parameters-0.19.0/parameters/R/print.parameters_model.R | 74 - 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Title: Out of Memory Vectors
Description: Core functionality for working with vectors (numeric, integer,
logical and character) that are too large to keep in memory. The vectors are
kept (partially) on disk using memory mapping. This package contains the
basic functionality for working with these memory mapped vectors (e.g.
creating, indexing, ordering and sorting) and provides C++ headers which can
be used by other packages to extend the functionality provided in this
package.
Author: Jan van der Laan
Maintainer: Jan van der Laan <r@eoos.dds.nl>
Diff between lvec versions 0.2.2 dated 2018-05-24 and 0.2.4 dated 2022-10-05
DESCRIPTION | 12 ++-- MD5 | 10 ++-- NEWS | 36 +++++++++----- inst/include/iterator.h | 7 +- inst/include/memmap.h | 118 +++++++++++++++++++++++++++++++++--------------- man/lvec.Rd | 7 ++ 6 files changed, 126 insertions(+), 64 deletions(-)
Title: Landscape Epidemiology and Evolution
Description: A stochastic, spatially-explicit, demo-genetic model simulating the spread and evolution
of a plant pathogen in a heterogeneous landscape to assess resistance deployment strategies.
It is based on a spatial geometry for describing the landscape and allocation of different cultivars,
a dispersal kernel for the dissemination of the pathogen, and a SEIR
('Susceptible-Exposed-Infectious-Removed’) structure with a discrete time step.
It provides a useful tool to assess the performance of a wide range of deployment options with
respect to their epidemiological, evolutionary and economic outcomes.
Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett,
Peter H Thrall (2018) <doi:10.1371/journal.pcbi.1006067>.
Author: Loup Rimbaud [aut] ,
Julien Papaix [aut],
Jean-Francois Rey [aut, cre] ,
Marta Zaffaroni [ctb] ,
Jean-Loup Gaussen [ctb]
Maintainer: Jean-Francois Rey <jean-francois.rey@inrae.fr>
Diff between landsepi versions 1.1.2 dated 2022-03-02 and 1.2.0 dated 2022-10-05
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Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications.
Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph],
Fanny Meyer [aut],
David Granjon [aut],
Ian Fellows [ctb] ,
Wil Davis [ctb] ,
Spencer Matthews [ctb] ,
JavaScript and CSS libraries authors [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>
Diff between shinyWidgets versions 0.7.3 dated 2022-08-31 and 0.7.4 dated 2022-10-05
shinyWidgets-0.7.3/shinyWidgets/inst/assets/autonumeric |only shinyWidgets-0.7.3/shinyWidgets/inst/assets/multi |only shinyWidgets-0.7.3/shinyWidgets/inst/assets/nouislider |only shinyWidgets-0.7.4/shinyWidgets/DESCRIPTION | 6 shinyWidgets-0.7.4/shinyWidgets/MD5 | 86 +++++----- shinyWidgets-0.7.4/shinyWidgets/NAMESPACE | 3 shinyWidgets-0.7.4/shinyWidgets/NEWS.md | 18 ++ shinyWidgets-0.7.4/shinyWidgets/R/color-pickr.R | 21 +- shinyWidgets-0.7.4/shinyWidgets/R/dependencies.R | 24 +- shinyWidgets-0.7.4/shinyWidgets/R/input-autonumeric.R | 2 shinyWidgets-0.7.4/shinyWidgets/R/input-multi.R | 30 ++- shinyWidgets-0.7.4/shinyWidgets/R/input-noUiSlider.R | 56 ------ shinyWidgets-0.7.4/shinyWidgets/R/module-pickerGroup.R | 4 shinyWidgets-0.7.4/shinyWidgets/R/module-selectizeGroup.R | 22 +- shinyWidgets-0.7.4/shinyWidgets/R/module-utils.R | 4 shinyWidgets-0.7.4/shinyWidgets/R/onLoad.R | 14 + shinyWidgets-0.7.4/shinyWidgets/R/tree-input.R |only shinyWidgets-0.7.4/shinyWidgets/R/tree-utils.R |only shinyWidgets-0.7.4/shinyWidgets/R/utils.R | 8 shinyWidgets-0.7.4/shinyWidgets/R/virtual-select.R | 8 shinyWidgets-0.7.4/shinyWidgets/inst/assets/pickr-1.6.0/pickr-bindings.js | 25 +- shinyWidgets-0.7.4/shinyWidgets/inst/assets/pickr/css/classic.min.css | 4 shinyWidgets-0.7.4/shinyWidgets/inst/assets/pickr/css/monolith.min.css | 4 shinyWidgets-0.7.4/shinyWidgets/inst/assets/pickr/css/nano.min.css | 4 shinyWidgets-0.7.4/shinyWidgets/inst/assets/pickr/js/pickr.min.js | 6 shinyWidgets-0.7.4/shinyWidgets/inst/assets/pickr/pickr-bindings.js | 34 ++- shinyWidgets-0.7.4/shinyWidgets/inst/assets/shinyWidgets-bindings.min.js | 2 shinyWidgets-0.7.4/shinyWidgets/inst/assets/tools.R | 1 shinyWidgets-0.7.4/shinyWidgets/inst/examples/nouislider/update/app.R | 4 shinyWidgets-0.7.4/shinyWidgets/inst/examples/virtual-select/update/app.R | 10 + shinyWidgets-0.7.4/shinyWidgets/inst/packer/air-datepicker.js | 2 shinyWidgets-0.7.4/shinyWidgets/inst/packer/autonumeric.js |only shinyWidgets-0.7.4/shinyWidgets/inst/packer/multi.js |only shinyWidgets-0.7.4/shinyWidgets/inst/packer/multi.js.LICENSE.txt |only shinyWidgets-0.7.4/shinyWidgets/inst/packer/nouislider.js |only shinyWidgets-0.7.4/shinyWidgets/inst/packer/tree.js |only shinyWidgets-0.7.4/shinyWidgets/inst/packer/virtual-select.js | 2 shinyWidgets-0.7.4/shinyWidgets/inst/packer/virtual-select.js.LICENSE.txt | 2 shinyWidgets-0.7.4/shinyWidgets/man/create_tree.Rd |only shinyWidgets-0.7.4/shinyWidgets/man/noUiSliderInput.Rd | 24 -- shinyWidgets-0.7.4/shinyWidgets/man/treeInput.Rd |only shinyWidgets-0.7.4/shinyWidgets/man/updateTreeInput.Rd |only shinyWidgets-0.7.4/shinyWidgets/man/updateVirtualSelect.Rd | 13 + shinyWidgets-0.7.4/shinyWidgets/man/virtualSelectInput.Rd | 3 shinyWidgets-0.7.4/shinyWidgets/tests/testthat/test-autonumeric.R | 8 shinyWidgets-0.7.4/shinyWidgets/tests/testthat/test-multi.R | 3 shinyWidgets-0.7.4/shinyWidgets/tests/testthat/test-noUiSlider.R | 4 47 files changed, 246 insertions(+), 215 deletions(-)
Title: Data Fusion using Optimal Transportation Theory
Description: In the context of data fusion, the package provides a set of functions dedicated to the solving of 'recoding problems' using optimal transportation theory (Gares, Guernec, Savy (2019) <doi:10.1515/ijb-2018-0106> and Gares, Omer (2020) <doi:10.1080/01621459.2020.1775615>). From two databases with no overlapping part except a subset of shared variables, the functions of the package assist users until obtaining a unique synthetic database, where the missing information is fully completed.
Author: Gregory Guernec [aut, cre],
Valerie Gares [aut],
Pierre Navaro [ctb],
Jeremy Omer [ctb],
Philippe Saint-Pierre [ctb],
Nicolas Savy [ctb]
Maintainer: Gregory Guernec <otrecod.pkg@gmail.com>
Diff between OTrecod versions 0.1.1 dated 2021-09-20 and 0.1.2 dated 2022-10-05
OTrecod-0.1.1/OTrecod/R/OT_outcome.r |only OTrecod-0.1.1/OTrecod/R/api29.r |only OTrecod-0.1.1/OTrecod/R/api35.r |only OTrecod-0.1.1/OTrecod/R/avg_dist_closest.r |only OTrecod-0.1.1/OTrecod/R/compare_lists.r |only OTrecod-0.1.1/OTrecod/R/count_pos.r |only OTrecod-0.1.1/OTrecod/R/error_group.r |only OTrecod-0.1.1/OTrecod/R/find_coord.r |only OTrecod-0.1.1/OTrecod/R/globals.r |only OTrecod-0.1.1/OTrecod/R/ham.r |only OTrecod-0.1.1/OTrecod/R/imput_cov.r |only OTrecod-0.1.1/OTrecod/R/indiv_grp_closest.r |only OTrecod-0.1.1/OTrecod/R/indiv_grp_optimal.r |only OTrecod-0.1.1/OTrecod/R/merge_dbs.r |only OTrecod-0.1.1/OTrecod/R/ot_joint.r |only OTrecod-0.1.1/OTrecod/R/power_set.r |only OTrecod-0.1.1/OTrecod/R/proxim_dist.r |only OTrecod-0.1.1/OTrecod/R/select_pred.r |only OTrecod-0.1.1/OTrecod/R/simu_data.r |only OTrecod-0.1.1/OTrecod/R/tab_test.r |only OTrecod-0.1.1/OTrecod/R/transfo_dist.r |only OTrecod-0.1.1/OTrecod/R/transfo_quali.r |only OTrecod-0.1.1/OTrecod/R/transfo_target.r |only OTrecod-0.1.1/OTrecod/R/try_group.r |only OTrecod-0.1.1/OTrecod/R/verif_OT.r |only OTrecod-0.1.2/OTrecod/DESCRIPTION | 10 OTrecod-0.1.2/OTrecod/MD5 | 150 OTrecod-0.1.2/OTrecod/NAMESPACE | 96 OTrecod-0.1.2/OTrecod/R/OT_joint.R |only OTrecod-0.1.2/OTrecod/R/OT_outcome.R |only OTrecod-0.1.2/OTrecod/R/api29.R |only OTrecod-0.1.2/OTrecod/R/api35.R |only OTrecod-0.1.2/OTrecod/R/avg_dist_closest.R |only OTrecod-0.1.2/OTrecod/R/compare_lists.R |only OTrecod-0.1.2/OTrecod/R/count_pos.R |only OTrecod-0.1.2/OTrecod/R/error_group.R |only OTrecod-0.1.2/OTrecod/R/find_coord.R |only OTrecod-0.1.2/OTrecod/R/globals.R |only OTrecod-0.1.2/OTrecod/R/ham.R |only OTrecod-0.1.2/OTrecod/R/imput_cov.R |only OTrecod-0.1.2/OTrecod/R/indiv_grp_closest.R |only OTrecod-0.1.2/OTrecod/R/indiv_grp_optimal.R |only OTrecod-0.1.2/OTrecod/R/merge_dbs.R |only OTrecod-0.1.2/OTrecod/R/ncds_14.R |only OTrecod-0.1.2/OTrecod/R/ncds_5.R |only OTrecod-0.1.2/OTrecod/R/power_set.R |only OTrecod-0.1.2/OTrecod/R/proxim_dist.R |only OTrecod-0.1.2/OTrecod/R/select_pred.R |only OTrecod-0.1.2/OTrecod/R/simu_data.R |only OTrecod-0.1.2/OTrecod/R/tab_test.R |only OTrecod-0.1.2/OTrecod/R/transfo_dist.R |only OTrecod-0.1.2/OTrecod/R/transfo_quali.R |only OTrecod-0.1.2/OTrecod/R/transfo_target.R |only OTrecod-0.1.2/OTrecod/R/try_group.R |only OTrecod-0.1.2/OTrecod/R/verif_OT.R |only OTrecod-0.1.2/OTrecod/README.md | 600 +-- OTrecod-0.1.2/OTrecod/build/partial.rdb |binary OTrecod-0.1.2/OTrecod/build/vignette.rds |binary OTrecod-0.1.2/OTrecod/data/ncds_14.rda |only OTrecod-0.1.2/OTrecod/data/ncds_5.rda |only OTrecod-0.1.2/OTrecod/inst/doc/an-application-of-the-OTrecod-package.R | 317 - OTrecod-0.1.2/OTrecod/inst/doc/an-application-of-the-OTrecod-package.Rmd | 823 ++-- OTrecod-0.1.2/OTrecod/inst/doc/an-application-of-the-OTrecod-package.html | 1962 ++++++---- OTrecod-0.1.2/OTrecod/inst/doc/application-on-real-data-with-na.R |only OTrecod-0.1.2/OTrecod/inst/doc/application-on-real-data-with-na.Rmd |only OTrecod-0.1.2/OTrecod/inst/doc/application-on-real-data-with-na.html |only OTrecod-0.1.2/OTrecod/man/OT_joint.Rd | 510 +- OTrecod-0.1.2/OTrecod/man/OT_outcome.Rd | 614 +-- OTrecod-0.1.2/OTrecod/man/api29.Rd | 76 OTrecod-0.1.2/OTrecod/man/api35.Rd | 76 OTrecod-0.1.2/OTrecod/man/avg_dist_closest.Rd | 175 OTrecod-0.1.2/OTrecod/man/compare_lists.Rd | 89 OTrecod-0.1.2/OTrecod/man/error_group.Rd | 203 - OTrecod-0.1.2/OTrecod/man/ham.Rd | 158 OTrecod-0.1.2/OTrecod/man/imput_cov.Rd | 170 OTrecod-0.1.2/OTrecod/man/indiv_grp_closest.Rd | 266 - OTrecod-0.1.2/OTrecod/man/indiv_grp_optimal.Rd | 331 - OTrecod-0.1.2/OTrecod/man/merge_dbs.Rd | 375 - OTrecod-0.1.2/OTrecod/man/ncds_14.Rd |only OTrecod-0.1.2/OTrecod/man/ncds_5.Rd |only OTrecod-0.1.2/OTrecod/man/power_set.Rd | 71 OTrecod-0.1.2/OTrecod/man/proxim_dist.Rd | 375 - OTrecod-0.1.2/OTrecod/man/select_pred.Rd | 543 +- OTrecod-0.1.2/OTrecod/man/simu_data.Rd | 80 OTrecod-0.1.2/OTrecod/man/tab_test.Rd | 54 OTrecod-0.1.2/OTrecod/man/transfo_dist.Rd | 358 - OTrecod-0.1.2/OTrecod/man/transfo_quali.Rd | 61 OTrecod-0.1.2/OTrecod/man/transfo_target.Rd | 135 OTrecod-0.1.2/OTrecod/man/verif_OT.Rd | 321 - OTrecod-0.1.2/OTrecod/tests/testthat.R | 8 OTrecod-0.1.2/OTrecod/tests/testthat/test-OT-joint.R | 96 OTrecod-0.1.2/OTrecod/tests/testthat/test-OT-outcome.R | 133 OTrecod-0.1.2/OTrecod/tests/testthat/test-compare-lists.R | 88 OTrecod-0.1.2/OTrecod/tests/testthat/test-error-group.R | 29 OTrecod-0.1.2/OTrecod/tests/testthat/test-ham.R | 49 OTrecod-0.1.2/OTrecod/tests/testthat/test-imput-cov.R | 147 OTrecod-0.1.2/OTrecod/tests/testthat/test-merge_dbs.R | 210 - OTrecod-0.1.2/OTrecod/tests/testthat/test-power-set.R | 16 OTrecod-0.1.2/OTrecod/tests/testthat/test-proxim-dist.R | 223 - OTrecod-0.1.2/OTrecod/tests/testthat/test-select-pred.R | 197 - OTrecod-0.1.2/OTrecod/tests/testthat/test-transfo-dist.R | 142 OTrecod-0.1.2/OTrecod/tests/testthat/test-transfo-quali.R | 60 OTrecod-0.1.2/OTrecod/tests/testthat/test-transfo-target.R | 128 OTrecod-0.1.2/OTrecod/tests/testthat/test-verif-OT.R | 138 OTrecod-0.1.2/OTrecod/vignettes/an-application-of-the-OTrecod-package.Rmd | 823 ++-- OTrecod-0.1.2/OTrecod/vignettes/application-on-real-data-with-na.Rmd |only 106 files changed, 6023 insertions(+), 5463 deletions(-)
Title: Tools for Imaging Flow Cytometry
Description: Contains several tools to treat imaging flow cytometry data from 'ImageStream®' and 'FlowSight®' cytometers ('Amnis®', part of 'Luminex®'). Provides an easy and simple way to read and write .fcs, .rif, .cif and .daf files. Information such as masks, features, regions and populations set within these files can be retrieved for each single cell. In addition, raw data such as images stored can also be accessed. Users, may hopefully increase their productivity thanks to dedicated functions to extract, visualize, manipulate and export 'IFC' data. Toy data example can be installed through the 'IFCdata' package of approximately 32 MB, which is available in a 'drat' repository <https://gitdemont.github.io/IFCdata/>. See file 'COPYRIGHTS' and file 'AUTHORS' for a list of copyright holders and authors.
Author: Yohann Demont [aut, cre],
Gautier Stoll [ctb],
Guido Kroemer [ldr],
Jean-Pierre Marolleau [ldr],
Loïc Garcon [ldr]
Maintainer: Yohann Demont <git.demont@gmail.com>
Diff between IFC versions 0.1.6 dated 2022-08-22 and 0.1.7 dated 2022-10-05
IFC-0.1.6/IFC/man/statsCompute.Rd |only IFC-0.1.7/IFC/DESCRIPTION | 8 IFC-0.1.7/IFC/MD5 | 138 +- IFC-0.1.7/IFC/NAMESPACE | 4 IFC-0.1.7/IFC/R/ExportToDAF.R | 220 +-- IFC-0.1.7/IFC/R/ExportToReport.R | 2 IFC-0.1.7/IFC/R/ExtractFromDAF.R | 16 IFC-0.1.7/IFC/R/ExtractFromXIF.R | 16 IFC-0.1.7/IFC/R/GatingML.R | 10 IFC-0.1.7/IFC/R/RcppExports.R | 14 IFC-0.1.7/IFC/R/addText.R | 3 IFC-0.1.7/IFC/R/applyGatingStrategy.R | 14 IFC-0.1.7/IFC/R/buildBatch.R | 40 IFC-0.1.7/IFC/R/buildFeature.R | 51 IFC-0.1.7/IFC/R/buildGraph.R | 4 IFC-0.1.7/IFC/R/buildImage.R |only IFC-0.1.7/IFC/R/checkObj.R | 13 IFC-0.1.7/IFC/R/data_add_features.R | 99 - IFC-0.1.7/IFC/R/data_add_graphs.R |only IFC-0.1.7/IFC/R/data_add_pops.R | 30 IFC-0.1.7/IFC/R/data_rm_features.R | 21 IFC-0.1.7/IFC/R/data_rm_graphs.R |only IFC-0.1.7/IFC/R/data_rm_pops.R | 8 IFC-0.1.7/IFC/R/data_rm_regions.R | 9 IFC-0.1.7/IFC/R/data_to_AST.R |only IFC-0.1.7/IFC/R/data_to_DAF.R | 2 IFC-0.1.7/IFC/R/fastCbind.R | 132 +- IFC-0.1.7/IFC/R/fcs.R | 112 - IFC-0.1.7/IFC/R/getFeaturesValues.R |only IFC-0.1.7/IFC/R/getInfo.R | 18 IFC-0.1.7/IFC/R/graphs_utils.R | 186 +-- IFC-0.1.7/IFC/R/objectExtract.R | 4 IFC-0.1.7/IFC/R/plotGraph.R | 14 IFC-0.1.7/IFC/R/popsGetAffiliation.R | 9 IFC-0.1.7/IFC/R/popsRename.R | 5 IFC-0.1.7/IFC/R/popsWithin.R | 33 IFC-0.1.7/IFC/R/progress_utils.R | 2 IFC-0.1.7/IFC/R/redefine_utils.R | 654 +++++++---- IFC-0.1.7/IFC/R/stats.R | 275 +++- IFC-0.1.7/IFC/R/strings_utils.R | 135 +- IFC-0.1.7/IFC/R/texttomatrix.R | 1425 ++++++++++++------------ IFC-0.1.7/IFC/build/partial.rdb |binary IFC-0.1.7/IFC/inst/CITATION | 2 IFC-0.1.7/IFC/inst/include/assert.hpp | 2 IFC-0.1.7/IFC/inst/include/color.hpp | 28 IFC-0.1.7/IFC/inst/include/decomp.hpp | 8 IFC-0.1.7/IFC/inst/include/resize.hpp | 6 IFC-0.1.7/IFC/inst/include/tiff.hpp | 15 IFC-0.1.7/IFC/inst/include/utils.hpp | 34 IFC-0.1.7/IFC/man/BatchStatsReport.Rd |only IFC-0.1.7/IFC/man/ExtractFromFCS.Rd | 1 IFC-0.1.7/IFC/man/FCS_to_data.Rd | 1 IFC-0.1.7/IFC/man/StatsReport.Rd |only IFC-0.1.7/IFC/man/adjustGraph.Rd | 10 IFC-0.1.7/IFC/man/buildImage.Rd |only IFC-0.1.7/IFC/man/buildStats.Rd | 41 IFC-0.1.7/IFC/man/cpp_seqmatch.Rd |only IFC-0.1.7/IFC/man/data_add_graphs.Rd |only IFC-0.1.7/IFC/man/data_rm_features.Rd | 5 IFC-0.1.7/IFC/man/data_rm_graphs.Rd |only IFC-0.1.7/IFC/man/data_rm_pops.Rd | 5 IFC-0.1.7/IFC/man/data_rm_regions.Rd | 5 IFC-0.1.7/IFC/man/data_to_AST.Rd |only IFC-0.1.7/IFC/man/featureIFC.Rd |only IFC-0.1.7/IFC/man/gen_altnames.Rd |only IFC-0.1.7/IFC/man/getFeaturesValues.Rd |only IFC-0.1.7/IFC/man/getSTATSREPORT.Rd |only IFC-0.1.7/IFC/man/get_feat_value.Rd |only IFC-0.1.7/IFC/man/get_pops_stats.Rd |only IFC-0.1.7/IFC/man/gseq.Rd |only IFC-0.1.7/IFC/man/map_color.Rd | 2 IFC-0.1.7/IFC/man/random_name.Rd | 7 IFC-0.1.7/IFC/man/readFCS.Rd | 6 IFC-0.1.7/IFC/man/redefine_features_def_feat.Rd | 4 IFC-0.1.7/IFC/man/split_feat.Rd |only IFC-0.1.7/IFC/man/splitn.Rd | 17 IFC-0.1.7/IFC/man/swap_channel.Rd |only IFC-0.1.7/IFC/man/switch_channel.Rd | 26 IFC-0.1.7/IFC/man/texttomatrix.Rd | 2 IFC-0.1.7/IFC/src/RcppExports.cpp | 13 IFC-0.1.7/IFC/src/ifc.cpp | 14 81 files changed, 2351 insertions(+), 1629 deletions(-)
Title: Spatial Data Processing for Decision Making
Description: Methods for processing spatial data for decision-making.
This package is an R implementation of methods provided by the open source software GeoFIS <https://www.geofis.org> (Leroux et al. 2018) <doi:10.3390/agriculture8060073>.
The main functionalities are the management zone delineation (Pedroso et al. 2010) <doi:10.1016/j.compag.2009.10.007> and data aggregation (Mora-Herrera et al. 2020) <doi:10.1016/j.compag.2020.105624>.
Author: Serge Guillaume [aut],
Jean-Luc Lablee [aut, cre],
INRAE [cph]
Maintainer: Jean-Luc Lablee <jean-luc.lablee@inrae.fr>
Diff between GeoFIS versions 1.0.3 dated 2022-04-23 and 1.0.4 dated 2022-10-05
DESCRIPTION | 10 +++---- MD5 | 18 ++++++------- NEWS.md | 8 ++++-- build/partial.rdb |binary build/vignette.rds |binary inst/doc/data-fusion.html | 16 +++++++++--- man/Fusion.Rd | 18 ++++++------- man/FusionLabel.Rd | 6 ++-- man/Zoning.Rd | 60 +++++++++++++++++++++++----------------------- src/Makevars | 2 - 10 files changed, 75 insertions(+), 63 deletions(-)
Title: Practical Tools for Scientific Computations and Visualizations
Description: Collection of routines for efficient scientific computations in physics and astrophysics. These routines include utility functions, numerical computation tools, as well as visualisation tools. They can be used, for example, for generating random numbers from spherical and custom distributions, information and entropy analysis, special Fourier transforms, two-point correlation estimation (e.g. as in Landy & Szalay (1993) <doi:10.1086/172900>), binning & gridding of point sets, 2D interpolation, Monte Carlo integration, vector arithmetic and coordinate transformations. Also included is a non-exhaustive list of important constants and cosmological conversion functions. The graphics routines can be used to produce and export publication-ready scientific plots and movies, e.g. as used in Obreschkow et al. (2020, MNRAS Vol 493, Issue 3, Pages 4551–4569). These routines include special color scales, projection functions, and bitmap handling routines.
Author: Danail Obreschkow
Maintainer: Danail Obreschkow <danail.obreschkow@gmail.com>
Diff between cooltools versions 1.8 dated 2022-08-19 and 2.0 dated 2022-10-05
cooltools-1.8/cooltools/R/griddata2.R |only cooltools-1.8/cooltools/man/griddata2.Rd |only cooltools-2.0/cooltools/DESCRIPTION | 10 - cooltools-2.0/cooltools/MD5 | 30 ++-- cooltools-2.0/cooltools/NAMESPACE | 1 cooltools-2.0/cooltools/R/car2pol.R | 2 cooltools-2.0/cooltools/R/contourlevel.R | 9 - cooltools-2.0/cooltools/R/griddata.R | 183 +++++++++++++++++++--------- cooltools-2.0/cooltools/R/kde2.R | 59 ++------- cooltools-2.0/cooltools/R/mutual.R | 4 cooltools-2.0/cooltools/R/quiet.R | 2 cooltools-2.0/cooltools/R/sphereplot.R | 99 +++++++-------- cooltools-2.0/cooltools/man/contourlevel.Rd | 9 - cooltools-2.0/cooltools/man/griddata.Rd | 57 +++++--- cooltools-2.0/cooltools/man/kde2.Rd | 7 - cooltools-2.0/cooltools/man/mutual.Rd | 2 cooltools-2.0/cooltools/man/quiet.Rd | 2 17 files changed, 267 insertions(+), 209 deletions(-)
Title: Fast Kalman Filtering Through Sequential Processing
Description: Fast and flexible Kalman filtering and smoothing implementation utilizing sequential processing, designed for efficient parameter estimation through maximum likelihood estimation. Sequential processing is a univariate treatment of a multivariate series of observations and can benefit from computational efficiency over traditional Kalman filtering when independence is assumed in the variance of the disturbances of the measurement equation. Sequential processing is described in the textbook of Durbin and Koopman (2001, ISBN:978-0-19-964117-8). 'FKF.SP' was built upon the existing 'FKF' package and is, in general, a faster Kalman filter/smoother.
Author: Thomas Aspinall [aut, cre] ,
Adrian Gepp [aut] ,
Geoff Harris [aut] ,
Simone Kelly [aut] ,
Colette Southam [aut] ,
Bruce Vanstone [aut] ,
David Luethi [ctb],
Philipp Erb [ctb],
Simon Otziger [ctb],
Paul Smith [ctb]
Maintainer: Thomas Aspinall <tomaspinall2512@gmail.com>
Diff between FKF.SP versions 0.2.0 dated 2022-03-21 and 0.3.0 dated 2022-10-05
DESCRIPTION | 10 MD5 | 30 - NAMESPACE | 1 NEWS.md | 8 R/fkf.SP.R | 688 ++++++++++++++++++----------------- R/fks.SP.R |only README.md | 2 build/FKF.SP.pdf |binary build/vignette.rds |binary inst/doc/FKFSP.R | 80 +++- inst/doc/FKFSP.Rmd | 997 ++++++++++++++++++++++++++++------------------------ inst/doc/FKFSP.html | 460 +++++++++++++++++++++-- man/fkf.SP.Rd | 59 +-- man/fks.SP.Rd |only src/fkf_SP.c | 849 ++++++++++++++++++++++++++++++++++---------- src/init.c | 2 vignettes/FKFSP.Rmd | 997 ++++++++++++++++++++++++++++------------------------ 17 files changed, 2644 insertions(+), 1539 deletions(-)
Title: Poisson Network Autoregressive Models
Description: Quasi likelihood-based methods for estimating Poisson Network Autoregression with p lags, PNAR, following generalized linear models are provided. PNAR models with the identity and with the logarithmic link function are allowed. The inclusion of exogenous covariates is also possible. Moreover, it provides tools for testing the linearity of linear PNAR model versus several nonlinear alternatives. Finally, it allows generating multivariate count distributions, from linear and nonlinear PNAR models, where the dependence between Poisson random variables is generated by suitable copulas. References include: Armillotta, M. and K. Fokianos (2022a). Poisson network autoregression. <arXiv:2104.06296>. Armillotta, M. and K. Fokianos (2022b). Testing linearity for network autoregressive models. <arXiv:2202.03852>.
Author: Michail Tsagris [aut, cre],
Mirko Armillotta [aut, cph],
Konstantinos Fokianos [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Diff between PNAR versions 1.1 dated 2022-08-22 and 1.2 dated 2022-10-05
DESCRIPTION | 8 ++--- MD5 | 24 ++++++++-------- R/lin_estimnarpq.R | 60 ++++++++++++++++++++++++++--------------- R/log_lin_estimnarpq.R | 61 +++++++++++++++++++++++++++--------------- R/score_test_stnarpq_j.R | 6 ++-- R/score_test_tnarpq_j.R | 7 ++-- man/PNAR-package.Rd | 4 +- man/lin_estimnarpq.Rd | 35 +++++++++--------------- man/log_lin_estimnarpq.Rd | 38 +++++++++++--------------- man/score_test_nonlinpq_h0.Rd | 2 - man/score_test_stnarpq_DV.Rd | 4 +- man/score_test_stnarpq_j.Rd | 7 +++- man/score_test_tnarpq_j.Rd | 7 +++- 13 files changed, 148 insertions(+), 115 deletions(-)
Title: Deconvolution of Bulk RNA-Seq Data Based on Deep Learning
Description: Deconvolution of bulk RNA-Seq data using context-specific deconvolution models based on Deep Neural Networks using scRNA-Seq data as input. These models are able to make accurate estimates of the cell composition of bulk RNA-Seq samples from the same context using the advances provided by Deep Learning and the meaningful information provided by scRNA-Seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> for more details.
Author: Diego Mananes [aut, cre] ,
Carlos Torroja [aut] ,
Fatima Sanchez-Cabo [aut]
Maintainer: Diego Mananes <dmananesc@cnic.es>
Diff between digitalDLSorteR versions 0.3.0 dated 2022-05-24 and 0.3.1 dated 2022-10-05
DESCRIPTION | 14 ++++----- MD5 | 18 ++++++------ NEWS.md | 6 ++++ R/dnnModel.R | 8 ++--- R/loadData.R | 31 ++------------------- R/simSingleCell.R | 1 build/partial.rdb |binary inst/doc/newModels.html | 56 +++++++++++++++++++-------------------- man/loadSCProfiles.Rd | 7 ---- man/trainDigitalDLSorterModel.Rd | 8 ++--- 10 files changed, 62 insertions(+), 87 deletions(-)
More information about digitalDLSorteR at CRAN
Permanent link
Title: Estimate Asymptomatic Cases via Capture/Recapture Methods
Description: Estimate the lower and upper bound of asymptomatic cases in an
epidemic using the capture/recapture methods from Böhning et al. (2020)
<doi:10.1016/j.ijid.2020.06.009> and Rocchetti et al. (2020)
<doi:10.1101/2020.07.14.20153445>. Note there is currently some discussion
about the validity of the methods implemented in this package. You should
read carefully the original articles, alongside this answer from Li et al.
(2022) <doi:10.48550/arXiv.2209.11334> before using this package in your
project.
Author: Hugo Gruson [cre, aut, cph]
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>
Diff between asymptor versions 1.0 dated 2020-12-14 and 1.1.0 dated 2022-10-05
DESCRIPTION | 21 +- MD5 | 26 +-- NEWS.md | 6 R/estimate_asympto.R | 9 + README.md | 54 +++++- build/partial.rdb |binary build/vignette.rds |binary inst/doc/example.R | 13 + inst/doc/example.Rmd | 19 +- inst/doc/example.html | 309 ++++++++++++++++++++++++++++++++++----- inst/extdata/covid19_germany.rds |binary inst/extdata/covid19_italy.rds |binary man/estimate_asympto.Rd | 10 + vignettes/example.Rmd | 19 +- 14 files changed, 413 insertions(+), 73 deletions(-)
Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel
sparse direct Solver) are wrapped in a class whose methods can be used
for sequentially solving a sparse linear system (symmetric or not)
with one or many right hand sides (dense or sparse).
There is a possibility to do separately symbolic analysis,
LU (or LDL^t) factorization and system solving.
Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'.
'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194>
and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre],
Emmanuel Agullo [ctb],
Patrick Amestoy [ctb, cph],
Maurice Bremond [ctb],
Alfredo Buttari [ctb],
Philippe Combes [ctb],
Marie Durand [ctb],
Aurelia Fevre [ctb],
Abdou Guermouche [ctb],
Guillaume Joslin [ctb],
Jacko Koster [c [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>
Diff between rmumps versions 5.2.1-15 dated 2022-03-25 and 5.2.1-18 dated 2022-10-05
rmumps-5.2.1-15/rmumps/src/lib/MUMPS_5.3.5 |only rmumps-5.2.1-15/rmumps/src/lib/scotch_6.1.0 |only rmumps-5.2.1-18/rmumps/DESCRIPTION | 8 rmumps-5.2.1-18/rmumps/MD5 | 1053 ---------- rmumps-5.2.1-18/rmumps/NEWS | 8 rmumps-5.2.1-18/rmumps/R/RcppExports.R | 16 rmumps-5.2.1-18/rmumps/R/inc_os.R | 2 rmumps-5.2.1-18/rmumps/inst/COPYRIGHTS | 2 rmumps-5.2.1-18/rmumps/man/rmumps-package.Rd | 2 rmumps-5.2.1-18/rmumps/src/RcppExports.cpp | 5 rmumps-5.2.1-18/rmumps/src/lib/Makefile | 7 rmumps-5.2.1-18/rmumps/src/lib/metis-5.1.0/GKlib/string.c | 3 rmumps-5.2.1-18/rmumps/src/lib/scotch_6.0.9/src/Makefile.inc.sunos |only rmumps-5.2.1-18/rmumps/src/lib/scotch_6.0.9/src/Makefile.orig |only rmumps-5.2.1-18/rmumps/src/lib/scotch_6.0.9/src/esmumps/Makefile.orig |only rmumps-5.2.1-18/rmumps/src/lib/scotch_6.0.9/src/libscotch/Makefile.orig |only rmumps-5.2.1-18/rmumps/src/lib/scotch_6.0.9/src/libscotch/vmesh_separate_fm.c | 3 rmumps-5.2.1-18/rmumps/src/lib/scotch_6.0.9/src/scotch/Makefile.orig |only 18 files changed, 53 insertions(+), 1056 deletions(-)
Title: Export or Graph and Tables to 'Microsoft' Office and Import
Figures and Tables
Description: Provides wrap functions to export and import graphics and
data frames in R to 'microsoft' office. And This package also
provide write out figures with lots of different formats.
Since people may work on the platform without GUI support, the package
also provide function to easily write out figures
to lots of different type of formats. Now this package provide function
to extract colors from all types of figures and pdf files.
Author: Kai Guo [aut, cre]
Maintainer: Kai Guo <guokai8@gmail.com>
Diff between eoffice versions 0.2.1 dated 2020-11-18 and 0.2.2 dated 2022-10-05
DESCRIPTION | 7 +++---- MD5 | 8 ++++---- R/toTable.R | 4 +--- build/vignette.rds |binary inst/doc/eoffice.html | 47 +++++++++++++++++++++++++++++++++++++++-------- 5 files changed, 47 insertions(+), 19 deletions(-)
Title: Simplify the Creation of Choropleth Maps in R
Description: Choropleths are thematic maps where geographic regions, such as
states, are colored according to some metric, such as the number of people
who live in that state. This package simplifies this process by 1.
Providing ready-made functions for creating choropleths of common maps. 2.
Providing data and API connections to interesting data sources for making
choropleths. 3. Providing a framework for creating choropleths from
arbitrary shapefiles. 4. Overlaying those maps over reference maps from
Google Maps.
Author: Ari Lamstein [aut, cre],
Brian Johnson [ctb],
Trulia, Inc. [cph]
Maintainer: Ari Lamstein <ari@lamsteinconsulting.com>
Diff between choroplethr versions 3.7.0 dated 2020-08-11 and 3.7.1 dated 2022-10-05
choroplethr-3.7.0/choroplethr/NEWS |only choroplethr-3.7.1/choroplethr/DESCRIPTION | 8 choroplethr-3.7.1/choroplethr/MD5 | 29 +- choroplethr-3.7.1/choroplethr/R/data.R | 2 choroplethr-3.7.1/choroplethr/R/startup_messages.R | 2 choroplethr-3.7.1/choroplethr/README.md | 8 choroplethr-3.7.1/choroplethr/man/Admin1Choropleth.Rd | 68 ++--- choroplethr-3.7.1/choroplethr/man/Admin1RegionChoropleth.Rd | 68 ++--- choroplethr-3.7.1/choroplethr/man/Choropleth.Rd | 144 ++++++------ choroplethr-3.7.1/choroplethr/man/CountryChoropleth.Rd | 68 ++--- choroplethr-3.7.1/choroplethr/man/CountyChoropleth.Rd | 80 +++--- choroplethr-3.7.1/choroplethr/man/CountyZoomChoropleth.Rd | 76 +++--- choroplethr-3.7.1/choroplethr/man/StateChoropleth.Rd | 80 +++--- choroplethr-3.7.1/choroplethr/man/TractChoropleth.Rd | 78 +++--- choroplethr-3.7.1/choroplethr/man/USAChoropleth.Rd | 92 +++---- choroplethr-3.7.1/choroplethr/man/df_president_ts.Rd | 2 16 files changed, 402 insertions(+), 403 deletions(-)
Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, FREQ, and UNIVARIATE. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Diff between sasLM versions 0.9.1 dated 2022-09-05 and 0.9.2 dated 2022-10-05
sasLM-0.9.1/sasLM/inst/doc/Report-Different-Simplest2208200942.pdf |only sasLM-0.9.1/sasLM/inst/doc/Report-NOT-OKs2208200943.pdf |only sasLM-0.9.1/sasLM/inst/doc/Validation-Report-GLM-2208200944.pdf |only sasLM-0.9.2/sasLM/DESCRIPTION | 6 sasLM-0.9.2/sasLM/MD5 | 64 +++++----- sasLM-0.9.2/sasLM/NAMESPACE | 2 sasLM-0.9.2/sasLM/R/OR.R | 2 sasLM-0.9.2/sasLM/R/ORcmh.R | 2 sasLM-0.9.2/sasLM/R/ORinv.R | 2 sasLM-0.9.2/sasLM/R/ORmn.R | 34 +++-- sasLM-0.9.2/sasLM/R/ORmn1.R | 14 +- sasLM-0.9.2/sasLM/R/RD.R | 2 sasLM-0.9.2/sasLM/R/RDinv.R | 2 sasLM-0.9.2/sasLM/R/RDmn.R | 37 +++-- sasLM-0.9.2/sasLM/R/RDmn1.R | 12 - sasLM-0.9.2/sasLM/R/RR.R | 2 sasLM-0.9.2/sasLM/R/RRinv.R | 2 sasLM-0.9.2/sasLM/R/RRmn.R | 34 +++-- sasLM-0.9.2/sasLM/R/RRmn1.R | 16 +- sasLM-0.9.2/sasLM/R/corFisher.R |only sasLM-0.9.2/sasLM/R/pResD.R | 1 sasLM-0.9.2/sasLM/inst/NEWS.Rd | 9 + sasLM-0.9.2/sasLM/inst/doc/Report-Different-Simplest2209152151.pdf |only sasLM-0.9.2/sasLM/inst/doc/Report-NOT-OKs2209152151.pdf |only sasLM-0.9.2/sasLM/inst/doc/Validation-Report-GLM-2209152152.pdf |only sasLM-0.9.2/sasLM/inst/doc/sasLM-manual.pdf |binary sasLM-0.9.2/sasLM/man/ORcmh.Rd | 4 sasLM-0.9.2/sasLM/man/ORinv.Rd | 4 sasLM-0.9.2/sasLM/man/ORmn.Rd | 6 sasLM-0.9.2/sasLM/man/ORmn1.Rd | 5 sasLM-0.9.2/sasLM/man/RDinv.Rd | 4 sasLM-0.9.2/sasLM/man/RDmn.Rd | 6 sasLM-0.9.2/sasLM/man/RDmn1.Rd | 5 sasLM-0.9.2/sasLM/man/RRinv.Rd | 4 sasLM-0.9.2/sasLM/man/RRmn.Rd | 4 sasLM-0.9.2/sasLM/man/RRmn1.Rd | 5 sasLM-0.9.2/sasLM/man/corFisher.Rd |only 37 files changed, 169 insertions(+), 121 deletions(-)
Title: Utilities for Official Spanish Microdata
Description: Provides utilities for reading and processing microdata from Spanish official statistics with R.
Author: Carlos J. Gil Bellosta [aut, cre],
Carlos Neira [ctb],
Diego Paniagua Sanchez [ctb],
Fiorella Mori Pelaez [ctb],
Jorge Lopez Perez [ctb],
Estitxu Villamor [ctb],
Jose Luis Canadas Reche [ctb]
Maintainer: Carlos J. Gil Bellosta <cgb@datanalytics.com>
Diff between MicroDatosEs versions 0.8.2 dated 2016-08-26 and 0.8.14 dated 2022-10-05
DESCRIPTION | 18 +++-- MD5 | 45 ++++++++------ NAMESPACE | 4 - R/censo2010.R | 26 +++++++- R/defun2011.R | 25 +++++++ R/ees2010.R | 24 +++++++ R/epa2005.R | 24 +++++++ R/epf.2011.gastos.R | 24 +++++++ R/epf.2011.hogares.R | 24 +++++++ R/epf.2011.miembros.R | 27 +++++++- R/padron2016.R |only R/read.fwf.microdata.R | 97 ++++++++++++++++++------------- README.md | 26 +++++++- inst/extdata/sample_padron_2016.txt |only inst/metadata/epa_mdat2.txt | 6 - inst/metadata/epf_2011_hogares_mdat1.txt | 2 inst/metadata/padron_2016_mdat1.txt |only inst/metadata/padron_2016_mdat2.txt |only man/censo2010.Rd | 54 +++++++++-------- man/defun2011.Rd | 53 ++++++++-------- man/ees2010.Rd | 53 ++++++++-------- man/epa2005.Rd | 51 +++++++--------- man/epf.2011.gastos.Rd |only man/epf.2011.hogares.Rd | 58 +++++++----------- man/epf.2011.miembros.Rd |only man/padron2016.Rd |only man/test.metadata.Rd | 43 +++++++++++++ 27 files changed, 467 insertions(+), 217 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-08-15 0.2.6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-09-20 1.22.4
2021-05-28 1.22.3