Title: Time Series Goodness of Fit and Forecast Evaluation Tests
Description: Goodness of Fit and Forecast Evaluation Tests for timeseries models. Includes, among others, the Generalized Method of Moments (GMM) Orthogonality Test of Hansen (1982), the Nyblom (1989) parameter constancy test, the sign-bias test of Engle and Ng (1993), and a range of tests for value at risk and expected shortfall evaluation.
Author: Alexios Galanos [aut, cre, cph]
Maintainer: Alexios Galanos <alexios@4dscape.com>
Diff between tstests versions 1.0.0 dated 2024-05-15 and 1.0.1 dated 2024-10-24
DESCRIPTION | 11 ++-- MD5 | 14 ++--- NEWS.md | 7 ++ R/var_cp.R | 90 ++++++++++++++++++++++++-------------- build/partial.rdb |binary build/vignette.rds |binary inst/doc/tstest_introduction.html | 68 ++++++++++++++-------------- man/tstests-package.Rd | 2 8 files changed, 114 insertions(+), 78 deletions(-)
Title: Work with Open Road Traffic Casualty Data from Great Britain
Description: Tools to help download, process and analyse the UK road collision data collected using the
'STATS19' form. The datasets are provided as 'CSV' files with detailed road safety information about the
circumstances of car crashes and other incidents on the roads resulting in casualties in Great Britain
from 1979 to present. Tables are available on 'colissions' with the circumstances (e.g. speed limit
of road), information about 'vehicles' involved (e.g. type of vehicle), and 'casualties' (e.g. age).
The statistics relate only to events on public roads that were reported
to the police, and subsequently recorded, using the 'STATS19' collision reporting form. See
the Department for Transport website
<https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-safety-data> for more
information on these datasets.
The package is described in a paper in the Journal of Open Source Software
(Lovelace et al. 2019) <doi:10.21105/joss.01181>.
See
Gilardi et al. (2022) <doi [...truncated...]
Author: Robin Lovelace [aut, cre] ,
Malcolm Morgan [aut] ,
Layik Hama [aut] ,
Mark Padgham [aut] ,
David Ranzolin [rev],
Adam Sparks [rev, ctb] ,
Ivo Wengraf [ctb],
RAC Foundation [fnd]
Maintainer: Robin Lovelace <rob00x@gmail.com>
Diff between stats19 versions 3.1.0 dated 2024-08-01 and 3.2.0 dated 2024-10-24
stats19-3.1.0/stats19/tests |only stats19-3.2.0/stats19/DESCRIPTION | 6 stats19-3.2.0/stats19/MD5 | 37 stats19-3.2.0/stats19/NEWS.md | 4 stats19-3.2.0/stats19/R/dl.R | 15 stats19-3.2.0/stats19/R/read.R | 4 stats19-3.2.0/stats19/R/utils.R | 1 stats19-3.2.0/stats19/README.md | 123 - stats19-3.2.0/stats19/inst/doc/blog.html | 659 +++--- stats19-3.2.0/stats19/inst/doc/stats19-training-setup.html | 250 +- stats19-3.2.0/stats19/inst/doc/stats19-training.html | 1260 +++++++---- stats19-3.2.0/stats19/inst/doc/stats19-vehicles.R | 4 stats19-3.2.0/stats19/inst/doc/stats19-vehicles.Rmd | 4 stats19-3.2.0/stats19/inst/doc/stats19-vehicles.html | 243 +- stats19-3.2.0/stats19/inst/doc/stats19.html | 1375 +++++++------ stats19-3.2.0/stats19/vignettes/stats19-vehicles.Rmd | 4 16 files changed, 2398 insertions(+), 1591 deletions(-)
Title: Small Area Estimation with Cluster Information for Estimation of
Non-Sampled Areas
Description: Implementation of small area estimation (Fay-Herriot model) with EBLUP (Empirical Best Linear Unbiased Prediction) Approach for non-sampled area estimation by adding cluster information and assuming that there are similarities among particular areas. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Anisa et al. (2013) <doi:10.9790/5728-10121519>.
Author: Ridson Al Farizal P [aut, cre, cph]
,
Azka Ubaidillah [aut]
Maintainer: Ridson Al Farizal P <alfrzlp@gmail.com>
Diff between saens versions 0.1.0 dated 2024-02-21 and 0.1.1 dated 2024-10-24
DESCRIPTION | 10 +++++----- MD5 | 2 +- 2 files changed, 6 insertions(+), 6 deletions(-)
Title: Load Data for Analysis System
Description: Provides a framework to load text and excel files through a 'shiny' graphical interface. It allows renaming, transforming, ordering and removing variables. It includes basic exploratory methods such as the mean, median, mode, normality test, histogram and correlation.
Author: Oldemar Rodriguez [aut, cre],
Diego Jimenez [aut],
Joseline Quiros [aut]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Diff between loadeR versions 1.2.0 dated 2024-05-09 and 1.3.0 dated 2024-10-24
DESCRIPTION | 8 ++-- MD5 | 26 ++++++------- NEWS.md | 5 ++ R/app_server.R | 12 ++---- R/golem_utils_server.R | 4 +- R/golem_utils_ui.R | 5 +- R/loadeR.R | 4 +- R/mod_acercade.R | 2 - R/mod_carga_datos.R | 66 +++++++++++++++++++++-------------- inst/app/lang/diccionario.csv | 7 ++- inst/app/lang/translation_loadeR.bin |binary inst/golem-config.yml | 2 - man/loadeR.Rd | 4 +- man/options.run.Rd | 4 +- 14 files changed, 86 insertions(+), 63 deletions(-)
Title: Example Data Sets for Causal Inference Textbooks
Description: Example data sets to run the example
problems from causal inference textbooks. Currently, contains data
sets for Huntington-Klein, Nick (2021 and 2025) "The Effect" <https://theeffectbook.net>, first and second edition,
Cunningham, Scott (2021 and 2025, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape",
and Hernán, Miguel and James Robins (2020) "Causal Inference: What If"
<https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.
Author: Nick Huntington-Klein [aut, cre]
,
Malcolm Barrett [aut]
Maintainer: Nick Huntington-Klein <nhuntington-klein@seattleu.edu>
Diff between causaldata versions 0.1.3 dated 2021-12-01 and 0.1.4 dated 2024-10-24
DESCRIPTION | 12 +-- MD5 | 69 +++++++++++----------- NEWS.md | 4 + R/data.R | 23 +++++++ README.md |only data/ccdrug.rda |only man/Mroz.Rd | 92 ++++++++++++++--------------- man/abortion.Rd | 100 ++++++++++++++++---------------- man/adult_services.Rd | 126 ++++++++++++++++++++--------------------- man/auto.Rd | 80 +++++++++++++------------- man/avocado.Rd | 62 ++++++++++---------- man/black_politicians.Rd | 84 +++++++++++++-------------- man/castle.Rd | 120 +++++++++++++++++++-------------------- man/causaldata-package.Rd | 2 man/ccdrug.Rd |only man/close_college.Rd | 72 +++++++++++------------ man/close_elections_lmb.Rd | 74 ++++++++++++------------ man/cps_mixtape.Rd | 78 ++++++++++++------------- man/credit_cards.Rd | 64 ++++++++++---------- man/gapminder.Rd | 72 +++++++++++------------ man/google_stock.Rd | 62 ++++++++++---------- man/gov_transfers.Rd | 66 ++++++++++----------- man/gov_transfers_density.Rd | 58 +++++++++--------- man/mortgages.Rd | 68 +++++++++++----------- man/nsw_mixtape.Rd | 82 +++++++++++++------------- man/organ_donations.Rd | 64 ++++++++++---------- man/restaurant_inspections.Rd | 66 ++++++++++----------- man/ri.Rd | 66 ++++++++++----------- man/scorecard.Rd | 84 +++++++++++++-------------- man/snow.Rd | 68 +++++++++++----------- man/social_insure.Rd | 82 +++++++++++++------------- man/texas.Rd | 80 +++++++++++++------------- man/thornton_hiv.Rd | 70 +++++++++++----------- man/titanic.Rd | 64 ++++++++++---------- man/training_bias_reduction.Rd | 64 ++++++++++---------- man/training_example.Rd | 74 ++++++++++++------------ man/yule.Rd | 66 ++++++++++----------- 37 files changed, 1174 insertions(+), 1144 deletions(-)
Title: Tau-Leaping Stochastic Simulation
Description: Implements adaptive tau leaping to approximate the
trajectory of a continuous-time stochastic process as
described by Cao et al. (2007) The Journal of Chemical Physics
<doi:10.1063/1.2745299> (aka. the Gillespie stochastic
simulation algorithm). This package is based upon work
supported by NSF DBI-0906041 and NIH K99-GM104158 to Philip
Johnson and NIH R01-AI049334 to Rustom Antia.
Author: Philip Johnson [aut, cre]
Maintainer: Philip Johnson <plfj@umd.edu>
Diff between adaptivetau versions 2.3-1 dated 2024-04-17 and 2.3-2 dated 2024-10-24
DESCRIPTION | 17 +++++++++++------ MD5 | 10 +++++----- NEWS | 7 +++++++ inst/doc/adaptivetau.pdf |binary src/Rwrappers.h | 44 +++++++++++++++++++++----------------------- src/adaptivetau.cpp | 39 +++++++++++++++++++++------------------ 6 files changed, 65 insertions(+), 52 deletions(-)
Title: Tidy Processing and Analysis of Biological Sequences
Description: A tidy approach to analysis of biological sequences. All processing and data-storage functions are heavily optimized to allow the fastest and most efficient data storage.
Author: Dominik Rafacz [cre, aut] ,
Michal Burdukiewicz [aut] ,
Laura Bakala [aut],
Leon Eyrich Jessen [ctb] ,
Stefan Roediger [ctb] ,
Jadwiga Slowik [ctb] ,
Weronika Puchala [ctb] ,
Katarzyna Sidorczuk [ctb],
Filip Pietluch [ctb],
Jaroslaw Chilimoniuk [ctb] [...truncated...]
Maintainer: Dominik Rafacz <dominikrafacz@gmail.com>
Diff between tidysq versions 1.2.1 dated 2024-10-06 and 1.2.2 dated 2024-10-24
DESCRIPTION | 8 - MD5 | 18 +-- NEWS.md | 5 inst/WORDLIST | 89 +++++++++-------- inst/include/tidysq/ProtoSq.h | 4 inst/include/tidysq/Sq.h | 2 inst/include/tidysq/sqapply.h | 2 man/export_sq.Rd | 186 ++++++++++++++++++------------------ man/import_sq.Rd | 212 +++++++++++++++++++++--------------------- src/RcppExports.cpp | 2 10 files changed, 269 insertions(+), 259 deletions(-)
Title: Regression and Clustering in Multivariate Response Scenarios
Description: Fitting multivariate response models with random effects on one or two levels; whereby the (one-dimensional) random effect represents a latent variable approximating the multivariate space of outcomes, after possible adjustment for covariates. The method is particularly useful for multivariate, highly correlated outcome variables with unobserved heterogeneities. Applications include regression with multivariate responses, as well as multivariate clustering or ranking problems. See Zhang and Einbeck (2024) <doi:10.1007/s42519-023-00357-0>.
Author: Yingjuan Zhang [aut, cre],
Jochen Einbeck [aut, ctb]
Maintainer: Yingjuan Zhang <yingjuan.zhang@durham.ac.uk>
Diff between mult.latent.reg versions 0.1.9 dated 2024-09-06 and 0.2.0 dated 2024-10-24
mult.latent.reg-0.1.9/mult.latent.reg/man/open-curly-mult.latent.reg-close.Rd |only mult.latent.reg-0.2.0/mult.latent.reg/DESCRIPTION | 6 mult.latent.reg-0.2.0/mult.latent.reg/MD5 | 14 mult.latent.reg-0.2.0/mult.latent.reg/R/mult.latent.reg-package.R | 4 mult.latent.reg-0.2.0/mult.latent.reg/R/start.em.1level.R | 171 +++++++++- mult.latent.reg-0.2.0/mult.latent.reg/R/start.em.2level.R | 164 ++++++++- mult.latent.reg-0.2.0/mult.latent.reg/man/mult.em_1level.Rd | 7 mult.latent.reg-0.2.0/mult.latent.reg/man/mult.em_2level.Rd | 9 mult.latent.reg-0.2.0/mult.latent.reg/man/mult.latent.reg.Rd |only 9 files changed, 342 insertions(+), 33 deletions(-)
More information about mult.latent.reg at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-07-20 0.4.1
2021-12-02 0.4
2021-05-02 0.3.1
2021-04-22 0.3.0
Title: Statistical Methods for Regional Counts
Description: Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering. The package has a heavy emphasis on spatial scan methods, which were first introduced by Kulldorff and Nagarwalla (1995) <doi:10.1002/sim.4780140809> and Kulldorff (1997) <doi:10.1080/03610929708831995>.
Author: Joshua French [aut, cre] ,
Mohammad Meysami [ctb]
Maintainer: Joshua French <joshua.french@ucdenver.edu>
Diff between smerc versions 1.8.3 dated 2023-10-10 and 1.8.4 dated 2024-10-24
DESCRIPTION | 8 ++++---- MD5 | 24 ++++++++++++------------ R/noc_enn.R | 4 +++- R/noc_nn.R | 4 +++- R/scan.test2.R | 8 +++++--- R/smerc_cluster-summary.R | 2 +- build/partial.rdb |binary build/vignette.rds |binary inst/doc/smerc_demo.R | 8 ++++---- inst/doc/smerc_demo.html | 26 +++++++++++++------------- man/lget.Rd | 2 +- man/smerc.Rd | 2 +- man/summary.smerc_cluster.Rd | 6 +----- 13 files changed, 48 insertions(+), 46 deletions(-)
Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut, cre],
Milan Bouchet-Valat [aut],
Manuel Munoz Marquez [aut],
Liviu Andronic [ctb],
Michael Ash [ctb],
Theophilius Boye [ctb],
Stefano Calza [ctb],
Andy Chang [ctb],
Vilmantas Gegzna [ctb],
Philippe Grosjean [ctb],
Richard Heiberger [ct [...truncated...]
Maintainer: John Fox <jfox@mcmaster.ca>
Diff between Rcmdr versions 2.9-4 dated 2024-10-04 and 2.9-5 dated 2024-10-24
DESCRIPTION | 8 MD5 | 12 NEWS | 4 inst/doc/Empezando-con-Rcmdr-es.pdf |binary inst/doc/Getting-Started-with-the-Rcmdr.pdf |binary man/Commander-es.Rd | 429 ++++++++++++++-------------- man/Rcmdr-package.Rd | 4 7 files changed, 231 insertions(+), 226 deletions(-)
Title: Handwriting Analysis in R
Description: Perform statistical writership analysis of scanned handwritten documents.
Webpage provided at: <https://github.com/CSAFE-ISU/handwriter>.
Author: Iowa State University of Science and Technology on behalf of its Center
for Statistics and Applications in Forensic Evidence [aut, cph,
fnd],
Nick Berry [aut],
Stephanie Reinders [aut, cre],
James Taylor [aut],
Felix Baez-Santiago [ctb],
Jon Gonzalez [...truncated...]
Maintainer: Stephanie Reinders <srein@iastate.edu>
Diff between handwriter versions 3.2.0 dated 2024-10-09 and 3.2.1 dated 2024-10-24
DESCRIPTION | 6 +++--- MD5 | 15 ++++++++------- NAMESPACE | 1 + NEWS.md | 12 ++++++++++++ R/cluster_assignment.R | 10 +++++----- R/cluster_format.R | 12 +++++++++--- R/plot.R | 26 +++++++++++++++++++++++--- README.md | 8 ++++---- man/plot_graphs.Rd |only 9 files changed, 65 insertions(+), 25 deletions(-)
Title: Nested Cross Validation for the Relaxed Lasso and Other Machine
Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validation leave out samples (leading to nested cross validation) or bootstrap out-of-bag samples are used to evaluate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (outer nested) cross validation or bootstrap leave out (out of bag) samples.
For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied by using the 'path=TRUE' option when calling [...truncated...]
Author: Walter K Kremers [aut, cre] ,
Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>
Diff between glmnetr versions 0.5-3 dated 2024-08-28 and 0.5-4 dated 2024-10-24
glmnetr-0.5-3/glmnetr/R/calplot_240708.R |only glmnetr-0.5-3/glmnetr/R/nested.glmnetr_240824.R |only glmnetr-0.5-3/glmnetr/R/xgbm_tuned_240322.R |only glmnetr-0.5-3/glmnetr/inst/doc/An_Overview_of_glmnetr_240828.pdf |only glmnetr-0.5-3/glmnetr/inst/doc/An_Overview_of_glmnetr_240828.pdf.asis |only glmnetr-0.5-3/glmnetr/inst/doc/Calibration_240828.pdf |only glmnetr-0.5-3/glmnetr/inst/doc/Calibration_240828.pdf.asis |only glmnetr-0.5-3/glmnetr/inst/doc/Ridge_and_Lasso_240322.pdf |only glmnetr-0.5-3/glmnetr/inst/doc/Ridge_and_Lasso_240322.pdf.asis |only glmnetr-0.5-3/glmnetr/inst/doc/Using_ann_tab_cv_240828.pdf |only glmnetr-0.5-3/glmnetr/inst/doc/Using_ann_tab_cv_240828.pdf.asis |only glmnetr-0.5-3/glmnetr/inst/doc/Using_stepreg_240828.pdf |only glmnetr-0.5-3/glmnetr/inst/doc/Using_stepreg_240828.pdf.asis |only glmnetr-0.5-3/glmnetr/vignettes/An_Overview_of_glmnetr_240828.Rmd |only glmnetr-0.5-3/glmnetr/vignettes/An_Overview_of_glmnetr_240828.pdf.asis |only glmnetr-0.5-3/glmnetr/vignettes/Calibration_240828.Rmd |only glmnetr-0.5-3/glmnetr/vignettes/Calibration_240828.pdf.asis |only glmnetr-0.5-3/glmnetr/vignettes/Ridge_and_Lasso_240322.Rmd |only glmnetr-0.5-3/glmnetr/vignettes/Ridge_and_Lasso_240322.pdf.asis |only glmnetr-0.5-3/glmnetr/vignettes/Using_ann_tab_cv_240828.Rmd |only glmnetr-0.5-3/glmnetr/vignettes/Using_ann_tab_cv_240828.pdf.asis |only glmnetr-0.5-3/glmnetr/vignettes/Using_stepreg_240828.Rmd |only glmnetr-0.5-3/glmnetr/vignettes/Using_stepreg_240828.pdf.asis |only glmnetr-0.5-4/glmnetr/DESCRIPTION | 8 - glmnetr-0.5-4/glmnetr/MD5 | 58 +++++----- glmnetr-0.5-4/glmnetr/R/calplot_241022.R |only glmnetr-0.5-4/glmnetr/R/nested.glmnetr_241020.R |only glmnetr-0.5-4/glmnetr/R/xgbm_tuned_240905.R |only glmnetr-0.5-4/glmnetr/build/vignette.rds |binary glmnetr-0.5-4/glmnetr/inst/doc/An_Overview_of_glmnetr_241024.pdf |only glmnetr-0.5-4/glmnetr/inst/doc/An_Overview_of_glmnetr_241024.pdf.asis |only glmnetr-0.5-4/glmnetr/inst/doc/Calibration_241024.pdf |only glmnetr-0.5-4/glmnetr/inst/doc/Calibration_241024.pdf.asis |only glmnetr-0.5-4/glmnetr/inst/doc/Ridge_and_Lasso_241024.pdf |only glmnetr-0.5-4/glmnetr/inst/doc/Ridge_and_Lasso_241024.pdf.asis |only glmnetr-0.5-4/glmnetr/inst/doc/Using_ann_tab_cv_241024.pdf |only glmnetr-0.5-4/glmnetr/inst/doc/Using_ann_tab_cv_241024.pdf.asis |only glmnetr-0.5-4/glmnetr/inst/doc/Using_stepreg_241024.pdf |only glmnetr-0.5-4/glmnetr/inst/doc/Using_stepreg_241024.pdf.asis |only glmnetr-0.5-4/glmnetr/man/calplot.Rd | 37 ++++-- glmnetr-0.5-4/glmnetr/man/nested.glmnetr.Rd | 4 glmnetr-0.5-4/glmnetr/man/xgb.simple.Rd | 2 glmnetr-0.5-4/glmnetr/man/xgb.tuned.Rd | 4 glmnetr-0.5-4/glmnetr/vignettes/An_Overview_of_glmnetr_241024.Rmd |only glmnetr-0.5-4/glmnetr/vignettes/An_Overview_of_glmnetr_241024.pdf.asis |only glmnetr-0.5-4/glmnetr/vignettes/Calibration_241024.Rmd |only glmnetr-0.5-4/glmnetr/vignettes/Calibration_241024.pdf.asis |only glmnetr-0.5-4/glmnetr/vignettes/Ridge_and_Lasso_241024.Rmd |only glmnetr-0.5-4/glmnetr/vignettes/Ridge_and_Lasso_241024.pdf.asis |only glmnetr-0.5-4/glmnetr/vignettes/Using_ann_tab_cv_241024.Rmd |only glmnetr-0.5-4/glmnetr/vignettes/Using_ann_tab_cv_241024.pdf.asis |only glmnetr-0.5-4/glmnetr/vignettes/Using_stepreg_241024.Rmd |only glmnetr-0.5-4/glmnetr/vignettes/Using_stepreg_241024.pdf.asis |only 53 files changed, 63 insertions(+), 50 deletions(-)
Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for (1) data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statistical analysis (e.g., confidence intervals, collinearity and residual diag [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>
Diff between misty versions 0.6.7 dated 2024-09-18 and 0.6.8 dated 2024-10-24
DESCRIPTION | 13 +- MD5 | 68 ++++++----- NAMESPACE | 6 + NEWS.md | 26 ++++ R/blimp.plot.R | 14 +- R/blimp.print.R | 4 R/blimp.update.R | 4 R/check.outlier.R | 2 R/check.resid.R | 4 R/ci.prop.R | 2 R/dominance.R | 3 R/mplus.plot.R | 42 +++---- R/mplus.print.R | 293 ++++++++++++++++++++++++++----------------------- R/mplus.run.R | 3 R/mplus.update.R | 8 - R/multilevel.fit.R | 2 R/na.descript.R | 2 R/na.indicator.R | 9 - R/na.satcor.R |only R/na.test.R | 20 +-- R/print.misty.object.R | 12 +- R/read.data.R |only R/read.sav.R | 2 R/read.xlsx.R | 6 - R/result.lca.R | 2 R/std.coef.R | 2 R/test.welch.R | 2 R/utils.R | 40 +++++- R/write.result.R | 2 man/blimp.update.Rd | 2 man/mplus.update.Rd | 8 - man/na.descript.Rd | 2 man/na.indicator.Rd | 9 - man/na.satcor.Rd |only man/na.test.Rd | 14 +- man/read.data.Rd |only man/read.sav.Rd | 2 37 files changed, 360 insertions(+), 270 deletions(-)
Title: Management of Survey Data and Presentation of Analysis Results
Description: An infrastructure for the management of survey data including
value labels, definable missing values, recoding of variables,
production of code books, and import of (subsets of) 'SPSS' and
'Stata' files is provided. Further, the package allows to produce
tables and data frames of arbitrary descriptive statistics and
(almost) publication-ready tables of regression model
estimates, which can be exported to 'LaTeX' and HTML.
Author: Martin Elff [aut, cre],
Christopher N. Lawrence [ctb],
Dave Atkins [ctb],
Jason W. Morgan [ctb],
Achim Zeileis [ctb],
Mael Astruc-Le Souder [ctb],
Kiril Mueller [ctb],
Pieter Schoonees [ctb]
Maintainer: Martin Elff <memisc@elff.eu>
Diff between memisc versions 0.99.31.8 dated 2024-09-28 and 0.99.31.8.1 dated 2024-10-24
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- inst/ChangeLog | 15 +++++++++++++++ inst/doc/anes48.html | 2 +- man/items-to-vectors.Rd | 2 ++ 5 files changed, 26 insertions(+), 9 deletions(-)
Title: Distance Sampling Detection Function and Abundance Estimation
Description: A simple way of fitting detection functions to distance sampling
data for both line and point transects. Adjustment term selection, left and
right truncation as well as monotonicity constraints and binning are
supported. Abundance and density estimates can also be calculated (via a
Horvitz-Thompson-like estimator) if survey area information is provided. See
Miller et al. (2019) <doi:10.18637/jss.v089.i01> for more information on
methods and <https://examples.distancesampling.org/> for example analyses.
Author: Laura Marshall [cre],
David Miller [aut],
T.J. Clark-Wolf [aut],
Len Thomas [ctb],
Jeff Laake [ctb],
Eric Rexstad [rev]
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>
Diff between Distance versions 1.0.9 dated 2023-12-21 and 2.0.0 dated 2024-10-24
DESCRIPTION | 24 ++++++++++++++++++------ MD5 | 24 ++++++++++++------------ NEWS | 6 ++++++ R/Distance-package.R | 4 +++- R/ds.R | 17 +++++++++++------ R/print.summary.dsmodel.R | 2 +- R/summary.dsmodel.R | 2 +- build/partial.rdb |binary man/Distance-package.Rd | 5 ++++- man/ds.Rd | 10 +++++++--- man/print.summary.dsmodel.Rd | 2 +- man/summary.dsmodel.Rd | 2 +- tests/testthat/test_summarize.R | 4 ++-- 13 files changed, 67 insertions(+), 35 deletions(-)
Title: Bayesian Estimation of Structural Vector Autoregressive Models
Description: Provides fast and efficient procedures for Bayesian analysis of Structural Vector Autoregressions. This package estimates a wide range of models, including homo-, heteroskedastic, and non-normal specifications. Structural models can be identified by adjustable exclusion restrictions, time-varying volatility, or non-normality. They all include a flexible three-level equation-specific local-global hierarchical prior distribution for the estimated level of shrinkage for autoregressive and structural parameters. Additionally, the package facilitates predictive and structural analyses such as impulse responses, forecast error variance and historical decompositions, forecasting, verification of heteroskedasticity, non-normality, and hypotheses on autoregressive parameters, as well as analyses of structural shocks, volatilities, and fitted values. Beautiful plots, informative summary functions, and extensive documentation including the vignette by Woźniak (2024) <doi:10.48550/arXiv.2410.15 [...truncated...]
Author: Tomasz Wozniak [aut, cre]
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>
Diff between bsvars versions 3.1 dated 2024-07-14 and 3.2 dated 2024-10-24
DESCRIPTION | 16 - MD5 | 101 +++--- NEWS.md | 14 R/bsvars-package.R | 54 ++- R/compute_conditional_sd.R | 34 +- R/compute_fitted_values.R | 17 + R/compute_historical_decompositions.R | 10 R/compute_impulse_responses.R | 15 R/compute_regime_probabilities.R | 6 R/compute_structural_shocks.R | 10 R/compute_variance_decompositions.R | 28 + R/estimate.BSVART.R | 6 R/forecast.R | 232 +++++++++++---- R/plot.R | 55 ++- R/specify_bsvar.R | 13 R/us_fiscal_cond_forecasts.R |only R/us_fiscal_ex.R | 4 R/us_fiscal_ex_forecasts.R |only R/us_fiscal_lsuw.R | 4 README.md | 77 +++- build/partial.rdb |binary build/vignette.rds |only data/us_fiscal_cond_forecasts.rda |only data/us_fiscal_ex.rda |binary data/us_fiscal_ex_forecasts.rda |only data/us_fiscal_lsuw.rda |binary inst/CITATION | 13 inst/doc |only man/bsvars-package.Rd | 54 ++- man/compute_variance_decompositions.PosteriorBSVAR.Rd | 3 man/compute_variance_decompositions.PosteriorBSVARMIX.Rd | 3 man/compute_variance_decompositions.PosteriorBSVARMSH.Rd | 3 man/compute_variance_decompositions.PosteriorBSVARSV.Rd | 3 man/compute_variance_decompositions.PosteriorBSVART.Rd | 3 man/compute_variance_decompositions.Rd | 3 man/estimate.BSVART.Rd | 6 man/estimate.PosteriorBSVART.Rd | 6 man/forecast.PosteriorBSVAR.Rd | 38 +- man/forecast.PosteriorBSVARMIX.Rd | 42 +- man/forecast.PosteriorBSVARMSH.Rd | 38 +- man/forecast.PosteriorBSVARSV.Rd | 36 +- man/forecast.PosteriorBSVART.Rd | 40 +- man/forecast.Rd | 38 ++ man/plot.PosteriorFEVD.Rd | 3 man/plot.PosteriorHD.Rd | 3 man/plot.PosteriorIR.Rd | 3 man/plot.PosteriorSigma.Rd | 3 man/us_fiscal_cond_forecasts.Rd |only man/us_fiscal_ex.Rd | 4 man/us_fiscal_ex_forecasts.Rd |only man/us_fiscal_lsuw.Rd | 4 src/forecast.cpp | 2 src/forecast.h | 2 src/sample_t.cpp | 2 vignettes |only 55 files changed, 776 insertions(+), 275 deletions(-)
Title: Management of Deterministic and Stochastic Projects
Description: Management problems of deterministic and stochastic projects. It obtains the duration of a project and the appropriate slack for each activity in a deterministic context. In addition it obtains a schedule of activities' time (Castro, Gómez & Tejada (2007) <doi:10.1016/j.orl.2007.01.003>). It also allows the management of resources. When the project is done, and the actual duration for each activity is known, then it can know how long the project is delayed and make a fair delivery of the delay between each activity (Bergantiños, Valencia-Toledo & Vidal-Puga (2018) <doi:10.1016/j.dam.2017.08.012>). In a stochastic context it can estimate the average duration of the project and plot the density of this duration, as well as, the density of the early and last times of the chosen activities. As in the deterministic case, it can make a distribution of the delay generated by observing the project already carried out.
Author: Juan Carlos Goncalves Dosantos [aut, cre],
Ignacio Garcia Jurado [aut],
Julian Costa Bouzas [aut]
Maintainer: Juan Carlos Goncalves Dosantos <juan.carlos.goncalves@udc.es>
Diff between ProjectManagement versions 1.5.2 dated 2023-09-14 and 2.0.2 dated 2024-10-24
DESCRIPTION | 10 +- MD5 | 22 ++-- NAMESPACE | 6 - R/ProjectManagement.R | 2 R/function_organize.R | 4 R/function_pert_demora.R | 66 ++++++-------- R/function_pert_demora_unions.R |only R/function_pert_estocastico_demora.R | 125 ++++++++++----------------- R/function_pert_estocastico_demora_uniones.R |only R/function_rebuild.R | 8 - man/delay.pert.unions.Rd |only man/delay.stochastic.pert.unions.Rd |only man/organize.Rd | 4 man/rebuild.Rd | 8 - 14 files changed, 113 insertions(+), 142 deletions(-)
More information about ProjectManagement at CRAN
Permanent link
Title: FDR Based Multiple Testing Procedures with Adaptation for
Discrete Tests
Description: Implementations of the multiple testing procedures for discrete
tests described in the paper Döhler, Durand and Roquain (2018) "New FDR
bounds for discrete and heterogeneous tests" <doi:10.1214/18-EJS1441>. The
main procedures of the paper (HSU and HSD), their adaptive counterparts
(AHSU and AHSD), and the HBR variant are available and are coded to take as
input the results of a test procedure from package 'DiscreteTests', or a set
of observed p-values and their discrete support under their nulls. A
shortcut function to obtain such p-values and supports is also provided,
along with a wrapper allowing to apply discrete procedures directly to data.
Author: Sebastian Doehler [aut, ctb] ,
Florian Junge [aut, ctb, cre] ,
Guillermo Durand [aut, ctb],
Etienne Roquain [ctb],
Christina Kihn [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>
Diff between DiscreteFDR versions 2.0.0 dated 2024-07-08 and 2.0.1 dated 2024-10-24
DiscreteFDR-2.0.0/DiscreteFDR/R/amnesia.R |only DiscreteFDR-2.0.0/DiscreteFDR/data |only DiscreteFDR-2.0.0/DiscreteFDR/man/amnesia.Rd |only DiscreteFDR-2.0.0/DiscreteFDR/src/kernel_fun.cpp |only DiscreteFDR-2.0.1/DiscreteFDR/DESCRIPTION | 26 DiscreteFDR-2.0.1/DiscreteFDR/MD5 | 77 - DiscreteFDR-2.0.1/DiscreteFDR/NAMESPACE | 1 DiscreteFDR-2.0.1/DiscreteFDR/NEWS.md | 10 DiscreteFDR-2.0.1/DiscreteFDR/R/Aux_fun.R | 60 - DiscreteFDR-2.0.1/DiscreteFDR/R/DBR_fun.R | 2 DiscreteFDR-2.0.1/DiscreteFDR/R/DiscreteFDR-package.R | 122 +- DiscreteFDR-2.0.1/DiscreteFDR/R/RcppExports.R | 73 - DiscreteFDR-2.0.1/DiscreteFDR/R/discreteBH_fun.R | 2 DiscreteFDR-2.0.1/DiscreteFDR/R/discreteFDR_fun.R | 12 DiscreteFDR-2.0.1/DiscreteFDR/R/fast_appli.R | 2 DiscreteFDR-2.0.1/DiscreteFDR/R/plot_funs.R | 72 + DiscreteFDR-2.0.1/DiscreteFDR/R/print_fun.R | 106 +- DiscreteFDR-2.0.1/DiscreteFDR/R/summary_funs.R | 200 ++-- DiscreteFDR-2.0.1/DiscreteFDR/R/support.R | 29 DiscreteFDR-2.0.1/DiscreteFDR/inst/doc/DiscreteFDR.html | 138 +- DiscreteFDR-2.0.1/DiscreteFDR/inst/doc/furtheranalyses.Rmd | 590 ++++++------ DiscreteFDR-2.0.1/DiscreteFDR/inst/doc/furtheranalyses.html | 18 DiscreteFDR-2.0.1/DiscreteFDR/inst/doc/toyexample.Rmd | 4 DiscreteFDR-2.0.1/DiscreteFDR/inst/doc/toyexample.html | 80 - DiscreteFDR-2.0.1/DiscreteFDR/man/ADBH.Rd | 22 DiscreteFDR-2.0.1/DiscreteFDR/man/DBH.Rd | 22 DiscreteFDR-2.0.1/DiscreteFDR/man/DBR.Rd | 22 DiscreteFDR-2.0.1/DiscreteFDR/man/DiscreteFDR.Rd | 6 DiscreteFDR-2.0.1/DiscreteFDR/man/direct.discrete.BH.Rd | 4 DiscreteFDR-2.0.1/DiscreteFDR/man/discrete.BH.Rd | 22 DiscreteFDR-2.0.1/DiscreteFDR/man/fast.Discrete.Rd | 24 DiscreteFDR-2.0.1/DiscreteFDR/man/generate.pvalues.Rd | 17 DiscreteFDR-2.0.1/DiscreteFDR/man/hist.DiscreteFDR.Rd | 19 DiscreteFDR-2.0.1/DiscreteFDR/man/kernel.Rd | 64 - DiscreteFDR-2.0.1/DiscreteFDR/man/match.pvals.Rd | 18 DiscreteFDR-2.0.1/DiscreteFDR/src/RcppExports.cpp | 9 DiscreteFDR-2.0.1/DiscreteFDR/src/helper.h | 29 DiscreteFDR-2.0.1/DiscreteFDR/src/kernel.h |only DiscreteFDR-2.0.1/DiscreteFDR/src/kernel_ADBH.cpp |only DiscreteFDR-2.0.1/DiscreteFDR/src/kernel_DBH.cpp |only DiscreteFDR-2.0.1/DiscreteFDR/src/kernel_DBR.cpp |only DiscreteFDR-2.0.1/DiscreteFDR/src/kernel_common.cpp |only DiscreteFDR-2.0.1/DiscreteFDR/vignettes/furtheranalyses.Rmd | 590 ++++++------ DiscreteFDR-2.0.1/DiscreteFDR/vignettes/toyexample.Rmd | 4 44 files changed, 1310 insertions(+), 1186 deletions(-)
Title: Prepare American Psychological Association Journal Articles with
R Markdown
Description: Tools to create dynamic, submission-ready manuscripts, which
conform to American Psychological Association manuscript guidelines. We
provide R Markdown document formats for manuscripts (PDF and Word) and
revision letters (PDF). Helper functions facilitate reporting statistical
analyses or create publication-ready tables and plots.
Author: Frederik Aust [aut, cre] ,
Marius Barth [aut] ,
Birk Diedenhofen [ctb],
Christoph Stahl [ctb],
Joseph V. Casillas [ctb],
Rudolf Siegel [ctb]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>
Diff between papaja versions 0.1.2 dated 2023-09-29 and 0.1.3 dated 2024-10-24
DESCRIPTION | 22 MD5 | 168 NAMESPACE | 3 R/add_custom_effect_sizes.R | 5 R/apa6_formats.R | 8 R/apa_barplot.R | 4 R/apa_beeplot.R | 4 R/apa_factorial_plot.R | 88 R/apa_interval.R | 73 R/apa_lineplot.R | 7 R/apa_print_BFBayesFactor.R | 16 R/apa_print_anova.R | 74 R/apa_print_emm_lsm.R | 24 R/apa_print_glm.R | 2 R/apa_print_htest.R | 7 R/apa_print_wsci.R | 12 R/apa_violinplot.R |only R/arrange_anova.R | 7 R/calculations.R | 28 R/cite_r.R | 34 R/generate_author_yml.R | 3 R/lookup_tables.R | 33 R/onload.R | 14 R/print_anova.R | 3 R/revision_letter_format.R | 8 R/tidy_es.R | 12 R/utils.R | 25 R/utils_text.R | 6 README.md | 40 build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 1 inst/NEWS.html |only inst/NEWS.md | 37 inst/WORDLIST | 2 inst/doc/extending_apa_print.html | 20 inst/lua/docx_fixes.lua | 58 inst/rmarkdown/templates/apa6/resources/apa6_header_includes.tex | 3 inst/rmarkdown/templates/revision_letter/resources/revision_letter.tex | 36 inst/rmd/apa6-annotated-no-disambiguation.csl | 68 inst/rmd/apa6-annotated.csl | 68 inst/rmd/apa6-no-disambiguation.csl | 68 inst/rmd/apa6.csl | 68 inst/rmd/apa7-annotated-no-disambiguation.csl | 1736 +++++----- inst/rmd/apa7-annotated.csl | 1736 +++++----- inst/rmd/apa7-no-disambiguation.csl | 1736 +++++----- inst/rmd/apa7.csl | 1736 +++++----- man/add_effect_sizes.Rd | 4 man/apa_barplot.Rd | 15 man/apa_beeplot.Rd | 15 man/apa_factorial_plot.Rd | 17 man/apa_interval.Rd | 62 man/apa_lineplot.Rd | 17 man/apa_num.Rd | 5 man/apa_print.BFBayesFactor.Rd | 6 man/apa_print.Rd | 2 man/apa_print.aov.Rd | 47 man/apa_print.emmGrid.Rd | 19 man/apa_print.glht.Rd | 6 man/apa_print.glm.Rd | 17 man/apa_print.htest.Rd | 21 man/apa_print.list.Rd | 6 man/apa_print.lme.Rd | 4 man/apa_print.merMod.Rd | 4 man/apa_print.papaja_wsci.Rd | 13 man/apa_table.Rd | 4 man/apa_violinplot.Rd |only man/arrange_regression.Rd | 4 man/cite_r.Rd | 4 man/extract_apa_results_table.Rd | 6 man/glue_apa_results.Rd | 4 man/init_apa_results.Rd | 4 man/lookup_tables.Rd | 4 man/papaja.Rd | 2 man/parse_bcp47.Rd |only man/quote_from_tex.Rd | 2 man/revision_letter_pdf.Rd | 10 tests/testthat/helper-structure.R | 9 tests/testthat/test-generate_author_yml.R | 24 tests/testthat/test_apa_print_anova.R | 145 tests/testthat/test_apa_print_htest.R | 16 tests/testthat/test_apa_print_model_comp.R | 11 tests/testthat/test_apa_print_wsci.R | 2 tests/testthat/test_calculations.R | 9 tests/testthat/test_custom_effect_sizes.R | 2 tests/testthat/test_meta.R | 6 tests/testthat/test_transmute_df_into_label.R | 2 87 files changed, 5118 insertions(+), 3535 deletions(-)
Title: Estimate the Four Parameters of Stable Laws using Different
Methods
Description: Estimate the four parameters of stable laws using maximum
likelihood method, generalised method of moments with
finite and continuum number of points, iterative
Koutrouvelis regression and Kogon-McCulloch method. The
asymptotic properties of the estimators (covariance
matrix, confidence intervals) are also provided.
Author: Tarak Kharrat [aut],
Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>
Diff between StableEstim versions 2.2 dated 2022-08-07 and 2.3 dated 2024-10-24
DESCRIPTION | 11 MD5 | 10 NEWS.md | 5 build/partial.rdb |binary inst/REFERENCES.bib | 2114 ++++++++++++++++++++++++++-------------------------- man/get.abMat.Rd | 2 6 files changed, 1073 insertions(+), 1069 deletions(-)
Title: Spatially Aware Cell-Cell Interaction Analysis
Description: Provides tools for analyzing spatial cell-cell interactions based on ligand-receptor pairs, including functions for local, regional, and global analysis using spatial transcriptomics data. Integrates with databases like 'CellChat' <http://www.cellchat.org/>, 'CellPhoneDB' <https://www.cellphonedb.org/>, 'Cellinker' <https://www.rna-society.org/cellinker/>, 'ICELLNET' <https://github.com/soumelis-lab/ICELLNET>, and 'ConnectomeDB' <https://humanconnectome.org/software/connectomedb/> to identify ligand-receptor pairs, visualize interactions through heatmaps, chord diagrams, and infer interactions on different spatial scales.
Author: Li-Ting Ku [aut, cre]
Maintainer: Li-Ting Ku <lku@mdanderson.org>
Diff between SpaCCI versions 1.0 dated 2024-09-30 and 1.0.2 dated 2024-10-24
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/modeling.R | 12 ++++++++++-- R/run_SpaCCI.R | 4 ++-- 4 files changed, 19 insertions(+), 11 deletions(-)
Title: Converts 'Monolix' Models to 'rxode2'
Description: 'Monolix' is a tool for running mixed effects model using
'saem'. This tool allows you to convert 'Monolix' models to 'rxode2'
(Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) using the
form compatible with 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>).
If available, the 'rxode2' model will
read in the 'Monolix' data and compare the simulation for the
population model individual model and residual
model to immediately show how well the translation is
performing. This saves the model development time for people who are
creating an 'rxode2' model manually. Additionally, this package reads
in all the information to allow simulation with uncertainty (that is the
number of observations, the number of subjects, and the covariance
matrix) with a 'rxode2' model. This is complementary to the
'babelmixr2' package that translates 'nlmixr2' models to 'Monolix' and can
convert the objects converted from 'monolix2rx' to a full 'nlmixr2' fit. While not
required, you c [...truncated...]
Author: Matthew Fidler [aut, cre] ,
Justin Wilkins [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Diff between monolix2rx versions 0.0.1 dated 2024-09-20 and 0.0.3 dated 2024-10-24
DESCRIPTION | 13 +++++++------ MD5 | 8 ++++---- NEWS.md | 13 +++++++++++++ R/def2ini.R | 17 ++++++++++++++++- R/equation.R | 2 ++ 5 files changed, 42 insertions(+), 11 deletions(-)
Title: Scrape and Analyze 'Goodreads' Book Data
Description: A comprehensive toolkit for scraping and analyzing book data from <https://www.goodreads.com/>. This package provides functions to search for books, scrape book details and reviews, perform sentiment analysis on reviews, and conduct topic modeling. It's designed for researchers, data analysts, and book enthusiasts who want to gain insights from 'Goodreads' data.
Author: Chao Liu [aut, cre, cph]
Maintainer: Chao Liu <chaoliu@cedarville.edu>
Diff between Goodreader versions 0.1.1 dated 2024-08-30 and 0.1.2 dated 2024-10-24
Goodreader-0.1.1/Goodreader/man/figures/logo.png |only Goodreader-0.1.2/Goodreader/DESCRIPTION | 9 Goodreader-0.1.2/Goodreader/MD5 | 117 +- Goodreader-0.1.2/Goodreader/NAMESPACE | 162 +-- Goodreader-0.1.2/Goodreader/NEWS.md | 2 Goodreader-0.1.2/Goodreader/R/get_author_info.R | 82 - Goodreader-0.1.2/Goodreader/R/get_book_ids.R | 64 - Goodreader-0.1.2/Goodreader/R/get_book_summary.R | 92 +- Goodreader-0.1.2/Goodreader/R/get_format_info.R | 90 - Goodreader-0.1.2/Goodreader/R/get_genres.R | 116 +- Goodreader-0.1.2/Goodreader/R/get_num_pages.R | 120 +- Goodreader-0.1.2/Goodreader/R/get_published_time.R | 88 - Goodreader-0.1.2/Goodreader/R/get_rating_distribution.R | 112 +- Goodreader-0.1.2/Goodreader/R/scrape_books.R | 344 +++---- Goodreader-0.1.2/Goodreader/R/scrape_reviews.R | 336 +++---- Goodreader-0.1.2/Goodreader/R/search_goodreads.R | 224 ++-- Goodreader-0.1.2/Goodreader/R/sentiment_analysis.R | 302 +++--- Goodreader-0.1.2/Goodreader/R/sentiment_plots.R | 286 +++--- Goodreader-0.1.2/Goodreader/R/topic_modeling.R | 404 ++++---- Goodreader-0.1.2/Goodreader/R/topic_visualization.R | 458 +++++----- Goodreader-0.1.2/Goodreader/README.md | 9 Goodreader-0.1.2/Goodreader/build/vignette.rds |binary Goodreader-0.1.2/Goodreader/inst/doc/Intro_to_Goodreader.R | 51 - Goodreader-0.1.2/Goodreader/inst/doc/Intro_to_Goodreader.Rmd | 40 Goodreader-0.1.2/Goodreader/inst/doc/Intro_to_Goodreader.html | 36 Goodreader-0.1.2/Goodreader/man/analyze_sentiment.Rd | 88 - Goodreader-0.1.2/Goodreader/man/average_book_sentiment.Rd | 88 - Goodreader-0.1.2/Goodreader/man/figures/Goodreader.png |only Goodreader-0.1.2/Goodreader/man/fit_lda.Rd | 86 - Goodreader-0.1.2/Goodreader/man/gen_topic_clouds.Rd | 86 - Goodreader-0.1.2/Goodreader/man/get_author_info.Rd | 60 - Goodreader-0.1.2/Goodreader/man/get_book_ids.Rd | 66 - Goodreader-0.1.2/Goodreader/man/get_book_summary.Rd | 60 - Goodreader-0.1.2/Goodreader/man/get_format_info.Rd | 64 - Goodreader-0.1.2/Goodreader/man/get_genres.Rd | 70 - Goodreader-0.1.2/Goodreader/man/get_num_pages.Rd | 60 - Goodreader-0.1.2/Goodreader/man/get_published_time.Rd | 60 - Goodreader-0.1.2/Goodreader/man/get_rating_distribution.Rd | 64 - Goodreader-0.1.2/Goodreader/man/model_topics.Rd | 94 +- Goodreader-0.1.2/Goodreader/man/plot_topic_heatmap.Rd | 72 - Goodreader-0.1.2/Goodreader/man/plot_topic_prevalence.Rd | 72 - Goodreader-0.1.2/Goodreader/man/plot_topic_terms.Rd | 76 - Goodreader-0.1.2/Goodreader/man/preprocess_reviews.Rd | 88 - Goodreader-0.1.2/Goodreader/man/replace_special_chars.Rd | 34 Goodreader-0.1.2/Goodreader/man/scrape_books.Rd | 68 - Goodreader-0.1.2/Goodreader/man/scrape_reviews.Rd | 80 - Goodreader-0.1.2/Goodreader/man/search_goodreads.Rd | 62 - Goodreader-0.1.2/Goodreader/man/sentiment_histogram.Rd | 94 +- Goodreader-0.1.2/Goodreader/man/sentiment_trend.Rd | 102 +- Goodreader-0.1.2/Goodreader/man/top_terms.Rd | 86 - Goodreader-0.1.2/Goodreader/tests/testthat.R | 24 Goodreader-0.1.2/Goodreader/tests/testthat/test-scrape_books.R | 142 +-- Goodreader-0.1.2/Goodreader/tests/testthat/test-scrape_reviews.R | 36 Goodreader-0.1.2/Goodreader/tests/testthat/test-search_goodreads.R | 34 Goodreader-0.1.2/Goodreader/tests/testthat/test-sentiment_analysis.R | 100 +- Goodreader-0.1.2/Goodreader/tests/testthat/test-sentiment_plots.R | 106 +- Goodreader-0.1.2/Goodreader/tests/testthat/test-topic_modeling.R | 106 +- Goodreader-0.1.2/Goodreader/tests/testthat/test-topic_visualization.R | 76 - Goodreader-0.1.2/Goodreader/tests/testthat/test-utilities.R | 162 +-- Goodreader-0.1.2/Goodreader/vignettes/Intro_to_Goodreader.Rmd | 40 Goodreader-0.1.2/Goodreader/vignettes/parent_books.txt |only 61 files changed, 3095 insertions(+), 3055 deletions(-)
Title: Documentation for 'distr' Family of R Packages
Description: Provides documentation in form of a common vignette to packages 'distr',
'distrEx', 'distrMod', 'distrSim', 'distrTEst', 'distrTeach', and 'distrEllipse'.
Author: Florian Camphausen [ctb] ,
Matthias Kohl [aut, cph],
Peter Ruckdeschel [cre, cph],
Thomas Stabla [ctb]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>
Diff between distrDoc versions 2.8.2 dated 2024-02-01 and 2.8.4 dated 2024-10-24
DESCRIPTION | 16 ++++++++-------- MD5 | 14 +++++++------- build/vignette.rds |binary inst/NEWS | 5 +++++ inst/doc/distr.Rnw | 11 ++++++----- inst/doc/distr.pdf |binary man/0distrDoc-package.Rd | 6 +++--- vignettes/distr.Rnw | 11 ++++++----- 8 files changed, 35 insertions(+), 28 deletions(-)
Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities
related to two-component admixture models, where the two components
can belong to any distribution (note that in the case of multinomial
mixtures, the two components must belong to the same family).
Estimation methods depend on the assumptions made on the unknown
component density; see Bordes and Vandekerkhove (2010)
<doi:10.3103/S1066530710010023>, Patra and Sen (2016)
<doi:10.1111/rssb.12148>, and Milhaud, Pommeret, Salhi, Vandekerkhove
(2024) <doi:10.3150/23-BEJ1593>. In practice, one can estimate both
the mixture weight and the unknown component density in a wide variety
of frameworks. On top of that, hypothesis tests can be performed in
one and two-sample contexts to test the unknown component density (see
Milhaud, Pommeret, Salhi and Vandekerkhove (2022)
<doi:10.1016/j.jspi.2021.05.010>, and Milhaud, Pommeret, Salhi,
Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>). Finally, clustering of
unknown [...truncated...]
Author: Xavier Milhaud [aut, cre],
Pierre Vandekerkhove [ctb],
Denys Pommeret [ctb],
Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>
Diff between admix versions 2.1-3 dated 2024-04-25 and 2.3.1 dated 2024-10-24
admix-2.1-3/admix/R/BVdk_ML_varCov_estimators.R |only admix-2.1-3/admix/R/BVdk_contrast.R |only admix-2.1-3/admix/R/BVdk_contrast_gradient.R |only admix-2.1-3/admix/R/BVdk_estimParam.R |only admix-2.1-3/admix/R/IBM_2samples_test.R |only admix-2.1-3/admix/R/IBM_empirical_contrast.R |only admix-2.1-3/admix/R/IBM_estimProp.R |only admix-2.1-3/admix/R/IBM_gap.R |only admix-2.1-3/admix/R/IBM_greenLight_criterion.R |only admix-2.1-3/admix/R/IBM_hessian_contrast.R |only admix-2.1-3/admix/R/IBM_tabul_stochasticInteg.R |only admix-2.1-3/admix/R/IBM_theoretical_contrast.R |only admix-2.1-3/admix/R/IBM_theoretical_gap.R |only admix-2.1-3/admix/R/PatraSen_cv_mixmodel.R |only admix-2.1-3/admix/R/PatraSen_density_est.R |only admix-2.1-3/admix/R/PatraSen_dist_calc.R |only admix-2.1-3/admix/R/PatraSen_est_mix_model.R |only admix-2.1-3/admix/R/admix_clustering.R |only admix-2.1-3/admix/R/decontaminated_cdf.R |only admix-2.1-3/admix/R/detect_support_type.R |only admix-2.1-3/admix/R/estimVarCov_empProcess.R |only admix-2.1-3/admix/R/is_equal_knownComp.R |only admix-2.1-3/admix/R/kernel_cdf.R |only admix-2.1-3/admix/R/kernel_density.R |only admix-2.1-3/admix/R/knownComp_to_uniform.R |only admix-2.1-3/admix/R/orthoBasis_coef.R |only admix-2.1-3/admix/R/orthoBasis_test_H0.R |only admix-2.1-3/admix/R/plot.decontaminated_density.R |only admix-2.1-3/admix/R/plot_mixt_density.R |only admix-2.1-3/admix/R/poly_orthonormal_basis.R |only admix-2.1-3/admix/R/print.admix_cluster.R |only admix-2.1-3/admix/R/print.admix_estim.R |only admix-2.1-3/admix/R/print.admix_test.R |only admix-2.1-3/admix/R/rsimmix.R |only admix-2.1-3/admix/R/sim_gaussianProcess.R |only admix-2.1-3/admix/R/two_samples_test.R |only admix-2.1-3/admix/R/zzz.R |only admix-2.1-3/admix/inst/WORDLIST |only admix-2.1-3/admix/man/BVdk_ML_varCov_estimators.Rd |only admix-2.1-3/admix/man/BVdk_contrast.Rd |only admix-2.1-3/admix/man/BVdk_contrast_gradient.Rd |only admix-2.1-3/admix/man/BVdk_estimParam.Rd |only admix-2.1-3/admix/man/IBM_2samples_test.Rd |only admix-2.1-3/admix/man/IBM_empirical_contrast.Rd |only admix-2.1-3/admix/man/IBM_estimProp.Rd |only admix-2.1-3/admix/man/IBM_estimVarCov_gaussVect.Rd |only admix-2.1-3/admix/man/IBM_gap.Rd |only admix-2.1-3/admix/man/IBM_greenLight_criterion.Rd |only admix-2.1-3/admix/man/IBM_hessian_contrast.Rd |only admix-2.1-3/admix/man/IBM_theoretical_contrast.Rd |only admix-2.1-3/admix/man/IBM_theoretical_gap.Rd |only admix-2.1-3/admix/man/PatraSen_cv_mixmodel.Rd |only admix-2.1-3/admix/man/PatraSen_density_est.Rd |only admix-2.1-3/admix/man/PatraSen_dist_calc.Rd |only admix-2.1-3/admix/man/PatraSen_est_mix_model.Rd |only admix-2.1-3/admix/man/admix_clustering.Rd |only admix-2.1-3/admix/man/detect_support_type.Rd |only admix-2.1-3/admix/man/estimVarCov_empProcess.Rd |only admix-2.1-3/admix/man/is_equal_knownComp.Rd |only admix-2.1-3/admix/man/kernel_cdf.Rd |only admix-2.1-3/admix/man/kernel_density.Rd |only admix-2.1-3/admix/man/knownComp_to_uniform.Rd |only admix-2.1-3/admix/man/orthoBasis_coef.Rd |only admix-2.1-3/admix/man/orthoBasis_test_H0.Rd |only admix-2.1-3/admix/man/plot_mixt_density.Rd |only admix-2.1-3/admix/man/poly_orthonormal_basis.Rd |only admix-2.1-3/admix/man/rsimmix.Rd |only admix-2.1-3/admix/man/rsimmix_mix.Rd |only admix-2.1-3/admix/man/sim_gaussianProcess.Rd |only admix-2.1-3/admix/man/two_samples_test.Rd |only admix-2.1-3/admix/tests |only admix-2.3.1/admix/DESCRIPTION | 75 admix-2.3.1/admix/MD5 | 203 -- admix-2.3.1/admix/NAMESPACE | 61 admix-2.3.1/admix/R/BVdk_varCov_estimators.R | 292 ++- admix-2.3.1/admix/R/IBM_estimVarCov_gaussVect.R | 1038 +++++++----- admix-2.3.1/admix/R/IBM_k_samples_test.R | 857 +++++++-- admix-2.3.1/admix/R/admix-package.R | 1 admix-2.3.1/admix/R/admix_cluster.R |only admix-2.3.1/admix/R/admix_estim.R | 234 +- admix-2.3.1/admix/R/admix_model.R |only admix-2.3.1/admix/R/admix_test.R | 256 +- admix-2.3.1/admix/R/allGalaxies.R | 8 admix-2.3.1/admix/R/decontaminated_density.R | 434 +++-- admix-2.3.1/admix/R/estim_BVdk.R |only admix-2.3.1/admix/R/estim_IBM.R |only admix-2.3.1/admix/R/estim_PS.R |only admix-2.3.1/admix/R/gaussianity_test.R | 215 +- admix-2.3.1/admix/R/milkyWay.R | 6 admix-2.3.1/admix/R/mortality_sample.R | 10 admix-2.3.1/admix/R/orthobasis_test.R |only admix-2.3.1/admix/R/stmf_small.R | 7 admix-2.3.1/admix/R/twoComp_mixt.R |only admix-2.3.1/admix/R/utils.R |only admix-2.3.1/admix/README.md | 79 admix-2.3.1/admix/build/partial.rdb |binary admix-2.3.1/admix/inst/REFERENCES.bib |only admix-2.3.1/admix/inst/doc/admixture-clustering.R | 75 admix-2.3.1/admix/inst/doc/admixture-clustering.Rmd | 79 admix-2.3.1/admix/inst/doc/admixture-clustering.html | 138 - admix-2.3.1/admix/inst/doc/admixture-weight-estimation.R | 171 - admix-2.3.1/admix/inst/doc/admixture-weight-estimation.Rmd | 187 +- admix-2.3.1/admix/inst/doc/admixture-weight-estimation.html | 285 +-- admix-2.3.1/admix/inst/doc/test-hypothesis.R | 108 - admix-2.3.1/admix/inst/doc/test-hypothesis.Rmd | 148 - admix-2.3.1/admix/inst/doc/test-hypothesis.html | 300 +-- admix-2.3.1/admix/man/BVdk_varCov_estimators.Rd | 57 admix-2.3.1/admix/man/IBM_k_samples_test.Rd | 133 - admix-2.3.1/admix/man/IBM_tabul_stochasticInteg.Rd | 85 admix-2.3.1/admix/man/admix-package.Rd | 6 admix-2.3.1/admix/man/admix_cluster.Rd |only admix-2.3.1/admix/man/admix_estim.Rd | 84 admix-2.3.1/admix/man/admix_model.Rd |only admix-2.3.1/admix/man/admix_test.Rd | 109 - admix-2.3.1/admix/man/allGalaxies.Rd | 6 admix-2.3.1/admix/man/decontaminated_cdf.Rd | 102 - admix-2.3.1/admix/man/decontaminated_density.Rd | 130 - admix-2.3.1/admix/man/estim_BVdk.Rd |only admix-2.3.1/admix/man/estim_IBM.Rd |only admix-2.3.1/admix/man/estim_PS.Rd |only admix-2.3.1/admix/man/gaussianity_test.Rd | 72 admix-2.3.1/admix/man/getmixingWeight.Rd |only admix-2.3.1/admix/man/getmixtData.Rd |only admix-2.3.1/admix/man/milkyWay.Rd | 9 admix-2.3.1/admix/man/mortality_sample.Rd | 13 admix-2.3.1/admix/man/orthobasis_test.Rd |only admix-2.3.1/admix/man/plot.decontaminated_density.Rd | 153 - admix-2.3.1/admix/man/plot.twoComp_mixt.Rd |only admix-2.3.1/admix/man/print.IBM_test.Rd |only admix-2.3.1/admix/man/print.admix_cluster.Rd | 44 admix-2.3.1/admix/man/print.admix_estim.Rd | 28 admix-2.3.1/admix/man/print.admix_model.Rd |only admix-2.3.1/admix/man/print.admix_test.Rd | 29 admix-2.3.1/admix/man/print.decontaminated_density.Rd |only admix-2.3.1/admix/man/print.estim_BVdk.Rd |only admix-2.3.1/admix/man/print.estim_IBM.Rd |only admix-2.3.1/admix/man/print.estim_PS.Rd |only admix-2.3.1/admix/man/print.gaussianity_test.Rd |only admix-2.3.1/admix/man/print.orthobasis_test.Rd |only admix-2.3.1/admix/man/print.twoComp_mixt.Rd |only admix-2.3.1/admix/man/stmf_small.Rd | 7 admix-2.3.1/admix/man/summary.IBM_test.Rd |only admix-2.3.1/admix/man/summary.admix_cluster.Rd |only admix-2.3.1/admix/man/summary.admix_estim.Rd |only admix-2.3.1/admix/man/summary.admix_test.Rd |only admix-2.3.1/admix/man/summary.estim_BVdk.Rd |only admix-2.3.1/admix/man/summary.estim_IBM.Rd |only admix-2.3.1/admix/man/summary.estim_PS.Rd |only admix-2.3.1/admix/man/summary.gaussianity_test.Rd |only admix-2.3.1/admix/man/summary.orthobasis_test.Rd |only admix-2.3.1/admix/man/twoComp_mixt.Rd |only admix-2.3.1/admix/vignettes/admixture-clustering.Rmd | 79 admix-2.3.1/admix/vignettes/admixture-weight-estimation.Rmd | 187 +- admix-2.3.1/admix/vignettes/references.bib | 108 - admix-2.3.1/admix/vignettes/test-hypothesis.Rmd | 148 - 155 files changed, 4026 insertions(+), 2830 deletions(-)
Title: Import Data from EDC Software
Description: A convenient toolbox to import data exported from Electronic Data Capture (EDC) software 'TrialMaster'.
Author: Dan Chaltiel [aut, cre]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>
Diff between EDCimport versions 0.4.1 dated 2023-12-19 and 0.5.0 dated 2024-10-24
EDCimport-0.4.1/EDCimport/R/reexport.R |only EDCimport-0.4.1/EDCimport/R/todo_base_macro.R |only EDCimport-0.4.1/EDCimport/R/todo_read_all_csv.R |only EDCimport-0.4.1/EDCimport/R/trialmaster.R |only EDCimport-0.4.1/EDCimport/man/check_subjid.Rd |only EDCimport-0.4.1/EDCimport/man/get_lookup.Rd |only EDCimport-0.4.1/EDCimport/man/read_tm_all_xpt.Rd |only EDCimport-0.4.1/EDCimport/tests/testthat/_snaps/plot |only EDCimport-0.4.1/EDCimport/tests/testthat/test-real.R |only EDCimport-0.5.0/EDCimport/DESCRIPTION | 27 EDCimport-0.5.0/EDCimport/MD5 | 137 + EDCimport-0.5.0/EDCimport/NAMESPACE | 109 + EDCimport-0.5.0/EDCimport/NEWS.md | 153 +- EDCimport-0.5.0/EDCimport/R/7zip.R | 23 EDCimport-0.5.0/EDCimport/R/EDCimport-package.R | 53 EDCimport-0.5.0/EDCimport/R/assertions.R |only EDCimport-0.5.0/EDCimport/R/burgled.R |only EDCimport-0.5.0/EDCimport/R/crf_status.R |only EDCimport-0.5.0/EDCimport/R/data.R | 100 + EDCimport-0.5.0/EDCimport/R/helpers.R | 720 +++++++--- EDCimport-0.5.0/EDCimport/R/lookup.R |only EDCimport-0.5.0/EDCimport/R/options.R | 26 EDCimport-0.5.0/EDCimport/R/population_plot.R |only EDCimport-0.5.0/EDCimport/R/read_all_csv.R |only EDCimport-0.5.0/EDCimport/R/read_all_sas.R |only EDCimport-0.5.0/EDCimport/R/read_all_xpt.R |only EDCimport-0.5.0/EDCimport/R/read_trialmaster.R |only EDCimport-0.5.0/EDCimport/R/sanity_checks.R |only EDCimport-0.5.0/EDCimport/R/sas_format.R | 94 + EDCimport-0.5.0/EDCimport/R/save_to_excel.R |only EDCimport-0.5.0/EDCimport/R/search_for_newer_data.R |only EDCimport-0.5.0/EDCimport/R/split_mixed.R | 122 + EDCimport-0.5.0/EDCimport/R/swimmerplot.R | 53 EDCimport-0.5.0/EDCimport/R/utils.R | 420 ++++- EDCimport-0.5.0/EDCimport/R/utils_read.R |only EDCimport-0.5.0/EDCimport/inst/IMPORTLIST | 18 EDCimport-0.5.0/EDCimport/inst/WORDLIST | 59 EDCimport-0.5.0/EDCimport/man/assert_no_duplicate.Rd | 22 EDCimport-0.5.0/EDCimport/man/build_lookup.Rd |only EDCimport-0.5.0/EDCimport/man/crf_status_plot.Rd |only EDCimport-0.5.0/EDCimport/man/data_example.Rd | 9 EDCimport-0.5.0/EDCimport/man/edc_data_warn.Rd |only EDCimport-0.5.0/EDCimport/man/edc_db_to_excel.Rd |only EDCimport-0.5.0/EDCimport/man/edc_inform_code.Rd |only EDCimport-0.5.0/EDCimport/man/edc_lookup.Rd |only EDCimport-0.5.0/EDCimport/man/edc_options.Rd | 17 EDCimport-0.5.0/EDCimport/man/edc_population_plot.Rd |only EDCimport-0.5.0/EDCimport/man/edc_swimmerplot.Rd | 8 EDCimport-0.5.0/EDCimport/man/edc_warn_extraction_date.Rd |only EDCimport-0.5.0/EDCimport/man/edc_warn_patient_diffs.Rd |only EDCimport-0.5.0/EDCimport/man/extend_lookup.Rd | 12 EDCimport-0.5.0/EDCimport/man/fct_yesno.Rd |only EDCimport-0.5.0/EDCimport/man/find_keyword.Rd | 2 EDCimport-0.5.0/EDCimport/man/get_common_cols.Rd |only EDCimport-0.5.0/EDCimport/man/get_datasets.Rd | 2 EDCimport-0.5.0/EDCimport/man/get_key_cols.Rd | 2 EDCimport-0.5.0/EDCimport/man/get_meta_cols.Rd |only EDCimport-0.5.0/EDCimport/man/get_subjid_cols.Rd |only EDCimport-0.5.0/EDCimport/man/harmonize_subjid.Rd |only EDCimport-0.5.0/EDCimport/man/lastnews_table.Rd |only EDCimport-0.5.0/EDCimport/man/manual_correction.Rd | 4 EDCimport-0.5.0/EDCimport/man/read_all_csv.Rd |only EDCimport-0.5.0/EDCimport/man/read_all_sas.Rd |only EDCimport-0.5.0/EDCimport/man/read_all_xpt.Rd |only EDCimport-0.5.0/EDCimport/man/read_trialmaster.Rd | 4 EDCimport-0.5.0/EDCimport/man/reexports.Rd | 4 EDCimport-0.5.0/EDCimport/man/save_plotly.Rd |only EDCimport-0.5.0/EDCimport/man/save_sessioninfo.Rd |only EDCimport-0.5.0/EDCimport/man/search_for_newer_data.Rd |only EDCimport-0.5.0/EDCimport/man/select_distinct.Rd |only EDCimport-0.5.0/EDCimport/man/split_mixed_datasets.Rd | 4 EDCimport-0.5.0/EDCimport/man/table_format.Rd |only EDCimport-0.5.0/EDCimport/tests/testthat/_snaps/local.md |only EDCimport-0.5.0/EDCimport/tests/testthat/_snaps/population_plot |only EDCimport-0.5.0/EDCimport/tests/testthat/_snaps/population_plot.md |only EDCimport-0.5.0/EDCimport/tests/testthat/_snaps/read_all_csv.md |only EDCimport-0.5.0/EDCimport/tests/testthat/_snaps/sanity.md |only EDCimport-0.5.0/EDCimport/tests/testthat/_snaps/search_data.md |only EDCimport-0.5.0/EDCimport/tests/testthat/_snaps/trialmaster-simple.md |only EDCimport-0.5.0/EDCimport/tests/testthat/_snaps/utils.md |only EDCimport-0.5.0/EDCimport/tests/testthat/csv |only EDCimport-0.5.0/EDCimport/tests/testthat/helper-init.R | 63 EDCimport-0.5.0/EDCimport/tests/testthat/helper-local.R |only EDCimport-0.5.0/EDCimport/tests/testthat/test-helpers.R | 69 EDCimport-0.5.0/EDCimport/tests/testthat/test-local.R |only EDCimport-0.5.0/EDCimport/tests/testthat/test-options.R |only EDCimport-0.5.0/EDCimport/tests/testthat/test-plot.R | 2 EDCimport-0.5.0/EDCimport/tests/testthat/test-population_plot.R |only EDCimport-0.5.0/EDCimport/tests/testthat/test-quicktest.R |only EDCimport-0.5.0/EDCimport/tests/testthat/test-read_all_csv.R |only EDCimport-0.5.0/EDCimport/tests/testthat/test-read_all_sas.R |only EDCimport-0.5.0/EDCimport/tests/testthat/test-sanity.R |only EDCimport-0.5.0/EDCimport/tests/testthat/test-search_data.R |only EDCimport-0.5.0/EDCimport/tests/testthat/test-split_mixed.R | 17 EDCimport-0.5.0/EDCimport/tests/testthat/test-trialmaster-simple.R |only EDCimport-0.5.0/EDCimport/tests/testthat/test-trialmaster.R | 53 EDCimport-0.5.0/EDCimport/tests/testthat/test-utils.R | 122 + 97 files changed, 1887 insertions(+), 643 deletions(-)
Title: Collect your Microinverter Data
Description: Collect and normalize local microinverter energy and power production
data through off-cloud API requests. Currently supports 'APSystems', 'Enphase',
and 'Fronius' microinverters.
Author: Christophe Regouby [aut, cre, cph]
Maintainer: Christophe Regouby <christophe.regouby@free.fr>
Diff between microinverterdata versions 0.1.0 dated 2024-10-02 and 0.2.0 dated 2024-10-24
microinverterdata-0.1.0/microinverterdata/vignettes/images/logo_r.png |only microinverterdata-0.1.0/microinverterdata/vignettes/images/pv_design.png |only microinverterdata-0.2.0/microinverterdata/DESCRIPTION | 22 microinverterdata-0.2.0/microinverterdata/MD5 | 68 ++ microinverterdata-0.2.0/microinverterdata/NAMESPACE | 18 microinverterdata-0.2.0/microinverterdata/NEWS.md | 23 + microinverterdata-0.2.0/microinverterdata/R/get_alarm.R | 49 +- microinverterdata-0.2.0/microinverterdata/R/get_device_info.R | 41 + microinverterdata-0.2.0/microinverterdata/R/get_output_data.R | 119 ++++- microinverterdata-0.2.0/microinverterdata/R/query_device.R | 229 +++++++++- microinverterdata-0.2.0/microinverterdata/README.md | 14 microinverterdata-0.2.0/microinverterdata/inst/doc/data_collection.Rmd | 28 - microinverterdata-0.2.0/microinverterdata/inst/doc/data_collection.html | 28 - microinverterdata-0.2.0/microinverterdata/inst/inverter_data.R | 2 microinverterdata-0.2.0/microinverterdata/man/get_output_data.Rd | 7 microinverterdata-0.2.0/microinverterdata/man/query_ap_device.Rd | 11 microinverterdata-0.2.0/microinverterdata/man/query_ap_devices.Rd | 13 microinverterdata-0.2.0/microinverterdata/man/query_enphaseenergy_device.Rd |only microinverterdata-0.2.0/microinverterdata/man/query_enphaseenvoy_device.Rd |only microinverterdata-0.2.0/microinverterdata/man/query_fronius_device.Rd |only microinverterdata-0.2.0/microinverterdata/man/query_fronius_devices.Rd |only microinverterdata-0.2.0/microinverterdata/tests/testthat/apsystems |only microinverterdata-0.2.0/microinverterdata/tests/testthat/enphase |only microinverterdata-0.2.0/microinverterdata/tests/testthat/f |only microinverterdata-0.2.0/microinverterdata/tests/testthat/setup.R | 5 microinverterdata-0.2.0/microinverterdata/tests/testthat/test-get_alarm.R | 58 +- microinverterdata-0.2.0/microinverterdata/tests/testthat/test-get_device_info.R | 93 ++-- microinverterdata-0.2.0/microinverterdata/tests/testthat/test-get_output_data.R | 115 +++-- microinverterdata-0.2.0/microinverterdata/vignettes/data_collection.Rmd | 28 - microinverterdata-0.2.0/microinverterdata/vignettes/images/__logo_r.png |only microinverterdata-0.2.0/microinverterdata/vignettes/images/__pv_design.png |only 31 files changed, 756 insertions(+), 215 deletions(-)
More information about microinverterdata at CRAN
Permanent link
Title: Stock Assessment Graphs Database Web Services
Description: R interface to access the web services of the ICES Stock Assessment
Graphs database <https://sg.ices.dk>.
Author: Colin Millar [aut, cre],
Scott Large [aut],
Arni Magnusson [aut],
Carlos Pinto [aut],
Laura Andreea Petre [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>
Diff between icesSAG versions 1.4.1 dated 2023-05-11 and 1.5.0 dated 2024-10-24
icesSAG-1.4.1/icesSAG/R/SAGtokens.R |only icesSAG-1.4.1/icesSAG/R/WSDL_parser.R |only icesSAG-1.4.1/icesSAG/R/getYSBRSummaryTable.R |only icesSAG-1.4.1/icesSAG/R/uploadStock.R |only icesSAG-1.4.1/icesSAG/R/uploadXMLFile.R |only icesSAG-1.4.1/icesSAG/man/findAssessmentKeydocs.Rd |only icesSAG-1.4.1/icesSAG/man/getTokenExpiration.Rd |only icesSAG-1.4.1/icesSAG/man/getYSBRSummaryTable.Rd |only icesSAG-1.4.1/icesSAG/man/uploadStock.Rd |only icesSAG-1.5.0/icesSAG/DESCRIPTION | 23 - icesSAG-1.5.0/icesSAG/MD5 | 80 ++-- icesSAG-1.5.0/icesSAG/NAMESPACE | 21 - icesSAG-1.5.0/icesSAG/NEWS.md | 62 --- icesSAG-1.5.0/icesSAG/R/SAGxml.R | 16 icesSAG-1.5.0/icesSAG/R/findAssessmentKey.R | 17 icesSAG-1.5.0/icesSAG/R/getCustomColumns.R | 30 + icesSAG-1.5.0/icesSAG/R/getFishStockReferencePoints.R | 32 + icesSAG-1.5.0/icesSAG/R/getGraph.R | 25 - icesSAG-1.5.0/icesSAG/R/getLatestStockAdviceList.R | 9 icesSAG-1.5.0/icesSAG/R/getListStocks.R | 30 + icesSAG-1.5.0/icesSAG/R/getSAG.R | 60 --- icesSAG-1.5.0/icesSAG/R/getSAGTypeGraphsSettings.R | 30 - icesSAG-1.5.0/icesSAG/R/getStockDownloadData.R | 56 -- icesSAG-1.5.0/icesSAG/R/getStockStatusValues.R | 27 + icesSAG-1.5.0/icesSAG/R/getSummaryTable.R | 65 ++- icesSAG-1.5.0/icesSAG/R/getsetSettingsForAStock.R | 37 + icesSAG-1.5.0/icesSAG/R/icesSAG-package.R | 7 icesSAG-1.5.0/icesSAG/R/ices_get.R |only icesSAG-1.5.0/icesSAG/R/ices_post.R |only icesSAG-1.5.0/icesSAG/R/onLoad.R | 24 + icesSAG-1.5.0/icesSAG/R/sag_api.R |only icesSAG-1.5.0/icesSAG/R/setPackageOptions.R |only icesSAG-1.5.0/icesSAG/R/utilities.R | 283 --------------- icesSAG-1.5.0/icesSAG/R/utilitiesGraphs.R |only icesSAG-1.5.0/icesSAG/R/utilitiesXML.R |only icesSAG-1.5.0/icesSAG/man/findAssessmentKey.Rd |only icesSAG-1.5.0/icesSAG/man/getCustomColumns.Rd | 6 icesSAG-1.5.0/icesSAG/man/getFishStockReferencePoints.Rd | 15 icesSAG-1.5.0/icesSAG/man/getLatestStockAdviceList.Rd | 5 icesSAG-1.5.0/icesSAG/man/getListStocks.Rd | 14 icesSAG-1.5.0/icesSAG/man/getSAG.Rd | 22 - icesSAG-1.5.0/icesSAG/man/getSAGSettings.Rd | 8 icesSAG-1.5.0/icesSAG/man/getStockDownloadData.Rd | 7 icesSAG-1.5.0/icesSAG/man/getStockStatusValues.Rd | 4 icesSAG-1.5.0/icesSAG/man/getSummaryTable.Rd | 7 icesSAG-1.5.0/icesSAG/man/getsetStockSettings.Rd | 7 icesSAG-1.5.0/icesSAG/man/icesSAG-package.Rd | 11 icesSAG-1.5.0/icesSAG/man/ices_get.Rd |only icesSAG-1.5.0/icesSAG/man/ices_post.Rd |only icesSAG-1.5.0/icesSAG/man/sag_api.Rd |only icesSAG-1.5.0/icesSAG/man/setPackageOptions.Rd |only 51 files changed, 422 insertions(+), 618 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-10-21 0.1.3.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-07-01 0.0.10-4
2023-01-30 0.0.10-2
2022-04-11 0.0.9
2021-09-08 0.0.8-6
2021-08-05 0.0.8-4
2021-07-22 0.0.8-3
2021-07-19 0.0.8-2
2021-03-04 0.0.8-1
2021-02-26 0.0.8
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-10-19 2.2.0
2023-10-21 2.1.1
2023-06-28 2.0.1
Title: Logging Setup for the 'teal' Family of Packages
Description: Utilizing the 'logger' framework to record events within a
package, specific to 'teal' family of packages. Supports logging
namespaces, hierarchical logging, various log destinations,
vectorization, and more.
Author: Dawid Kaledkowski [aut, cre],
Konrad Pagacz [aut],
F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>
Diff between teal.logger versions 0.2.0 dated 2024-03-24 and 0.3.0 dated 2024-10-24
DESCRIPTION | 18 +++++++++--------- MD5 | 24 +++++++++++++++--------- NAMESPACE | 1 + NEWS.md | 6 ++++++ R/log_formatter.R |only R/log_shiny_input_changes.R |only R/supress_logs.R | 12 ++++++++++-- R/zzz.R | 1 + README.md | 9 +-------- build/vignette.rds |binary man/log_shiny_input_changes.Rd |only man/suppress_logs.Rd | 3 ++- man/teal_logger_formatter.Rd |only tests/testthat/setup-logger.R |only tests/testthat/test-log_formatter.R |only tests/testthat/test-register_logger.R | 8 +++++++- 16 files changed, 52 insertions(+), 30 deletions(-)
Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled.
Author: Ivair Ramos Silva [aut, cre],
Martin Kulldorff [aut]
Maintainer: Ivair Ramos Silva <ivair@ufop.edu.br>
Diff between Sequential versions 4.3.3 dated 2024-02-20 and 4.3.4 dated 2024-10-24
DESCRIPTION | 16 +++++++++++----- MD5 | 6 +++--- R/Analyze.CondPoisson.R | 1 + man/Sequential-package.Rd | 10 +++++++--- 4 files changed, 22 insertions(+), 11 deletions(-)
Title: Draw Network with Data
Description: Extends the 'ggplot2' plotting system to support network visualization. Inspired by 'ggtree', 'ggtangle' is designed to work with network associated data.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Diff between ggtangle versions 0.0.2 dated 2024-09-18 and 0.0.3 dated 2024-10-24
DESCRIPTION | 10 +-- MD5 | 26 +++++---- NAMESPACE | 13 ++++ NEWS.md | 6 ++ R/AllGenerics.r |only R/cnet.r |only R/drag-network.R |only R/graph.r | 2 R/reexports.r | 10 +++ R/utilities.r |only inst/doc/ggtangle.R | 23 ++++---- inst/doc/ggtangle.Rmd | 25 ++++----- inst/doc/ggtangle.html | 134 +++++++++++++++++++++++-------------------------- man/cnetplot.Rd |only man/drag_network.Rd |only man/reexports.Rd | 6 +- vignettes/ggtangle.Rmd | 25 ++++----- 17 files changed, 153 insertions(+), 127 deletions(-)