Title: JSON for R
Description: Converts R object into JSON objects and vice-versa.
Author: Alex Couture-Beil <rjson_pkg@mofo.ca>
Maintainer: Alex Couture-Beil <rjson_pkg@mofo.ca>
Diff between rjson versions 0.2.20 dated 2018-06-08 and 0.2.21 dated 2022-01-08
DESCRIPTION | 11 MD5 | 22 - R/json.R | 97 +++---- build/vignette.rds |binary inst/changelog.txt | 4 inst/doc/json_rpc_server.pdf |binary inst/unittests/test.crash.r |only inst/unittests/test.largedata.r |only inst/unittests/test.unicode.r | 9 man/fromJSON.Rd | 2 src/dump.cpp | 16 + src/parser.c | 543 +++++++++++++++++++++------------------- src/register.c | 14 - 13 files changed, 394 insertions(+), 324 deletions(-)
Title: Piece-Wise Exponential Additive Mixed Modeling Tools for
Survival Analysis
Description: The Piece-wise exponential (Additive Mixed) Model
(PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>) is a
powerful model class for the analysis of survival (or time-to-event) data,
based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2019)), as well as support for left-truncated, competing risks and recurrent events data.
pammtools provides tidy workflow for survival analysis with PAMMs,
including data simulation, transformation and other functions for data
preprocessing and model post-processing as well as visualization.
Author: Andreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>),
Fabian Scheipl [aut] (<https://orcid.org/0000-0001-8172-3603>),
Philipp Kopper [aut] (<https://orcid.org/0000-0002-5037-7135>),
Lukas Burk [ctb] (<https://orcid.org/0000-0001-7528-3795>)
Maintainer: Andreas Bender <andreas.bender@stat.uni-muenchen.de>
Diff between pammtools versions 0.5.7 dated 2021-06-21 and 0.5.8 dated 2022-01-08
pammtools-0.5.7/pammtools/data/extub_event.rda |only pammtools-0.5.7/pammtools/data/extub_tdc.rda |only pammtools-0.5.7/pammtools/man/extub_event.Rd |only pammtools-0.5.7/pammtools/man/tidyr_verbs.Rd |only pammtools-0.5.8/pammtools/DESCRIPTION | 17 pammtools-0.5.8/pammtools/MD5 | 44 pammtools-0.5.8/pammtools/NAMESPACE | 32 pammtools-0.5.8/pammtools/NEWS.md | 6 pammtools-0.5.8/pammtools/R/add-functions.R | 5 pammtools-0.5.8/pammtools/R/data.R | 27 pammtools-0.5.8/pammtools/R/interval-information.R | 2 pammtools-0.5.8/pammtools/R/make-newdata.R | 2 pammtools-0.5.8/pammtools/R/pammfit.R | 12 pammtools-0.5.8/pammtools/R/predict.R | 5 pammtools-0.5.8/pammtools/R/split-data.R | 2 pammtools-0.5.8/pammtools/R/tidyverse-methods.R | 535 +++------- pammtools-0.5.8/pammtools/R/warnings.R | 44 pammtools-0.5.8/pammtools/README.md | 50 pammtools-0.5.8/pammtools/data/simdf_elra.rda |binary pammtools-0.5.8/pammtools/man/dplyr_verbs.Rd | 96 - pammtools-0.5.8/pammtools/man/pamm.Rd | 22 pammtools-0.5.8/pammtools/man/simdf_elra.Rd | 2 pammtools-0.5.8/pammtools/man/warn_about_new_time_points.Rd | 5 pammtools-0.5.8/pammtools/tests/testthat/test-add-functions.R | 6 pammtools-0.5.8/pammtools/tests/testthat/test-tidyverse-S3methods.R | 43 25 files changed, 318 insertions(+), 639 deletions(-)
Title: Generalized Estimating Equation Package
Description: Generalized estimating equations solver for parameters in
mean, scale, and correlation structures, through mean link,
scale link, and correlation link. Can also handle clustered
categorical responses. See e.g. Halekoh and Højsgaard, (2005,
<doi:10.18637/jss.v015.i02>), for details.
Author: Søren Højsgaard [aut, cre, cph],
Ulrich Halekoh [aut, cph],
Jun Yan [aut, cph],
Claus Ekstrøm [ctb]
Maintainer: Søren Højsgaard <sorenh@math.aau.dk>
Diff between geepack versions 1.3-2 dated 2020-12-18 and 1.3.3 dated 2022-01-08
geepack-1.3-2/geepack/NEWS |only geepack-1.3.3/geepack/DESCRIPTION | 9 geepack-1.3.3/geepack/MD5 | 10 geepack-1.3.3/geepack/NEWS.md |only geepack-1.3.3/geepack/R/geeglm.R | 342 +++++++++++----------- geepack-1.3.3/geepack/build/vignette.rds |binary geepack-1.3.3/geepack/inst/doc/geepack-manual.pdf |binary 7 files changed, 183 insertions(+), 178 deletions(-)
Title: Simplified Statistics for PA 606
Description: Simplifies functions assess normality for bivariate and multivariate statistical techniques. Includes functions designed to replicate plots and tables that would result from similar calls in 'SPSS', including hst(), box(), qq(), tab(), cormat(), and residplot(). Also includes simplified formulae, such as mode(), scatter(), p.corr(), ow.anova(), and rm.anova().
Author: Vann Jr Burrel [aut, cre] (<https://orcid.org/0000-0003-3066-5815>)
Maintainer: Vann Jr Burrel <bvannjr@sdsu.edu>
Diff between vannstats versions 1.2.1.3 dated 2022-01-03 and 1.2.1.8 dated 2022-01-08
vannstats-1.2.1.3/vannstats/R/Ideology.R |only vannstats-1.2.1.3/vannstats/R/Ideology_ERA.R |only vannstats-1.2.1.3/vannstats/R/US_Counties.R |only vannstats-1.2.1.3/vannstats/R/US_States.R |only vannstats-1.2.1.3/vannstats/R/ideo.dist.R |only vannstats-1.2.1.3/vannstats/data/Ideology.RData |only vannstats-1.2.1.3/vannstats/data/Ideology_ERA.RData |only vannstats-1.2.1.3/vannstats/data/US_Counties.RData |only vannstats-1.2.1.3/vannstats/data/US_States.RData |only vannstats-1.2.1.3/vannstats/man/Ideology.Rd |only vannstats-1.2.1.3/vannstats/man/Ideology_ERA.Rd |only vannstats-1.2.1.3/vannstats/man/US_Counties.Rd |only vannstats-1.2.1.3/vannstats/man/US_States.Rd |only vannstats-1.2.1.3/vannstats/man/ideo.dist.Rd |only vannstats-1.2.1.8/vannstats/DESCRIPTION | 13 +++++++---- vannstats-1.2.1.8/vannstats/MD5 | 22 +++----------------- vannstats-1.2.1.8/vannstats/NAMESPACE | 1 vannstats-1.2.1.8/vannstats/R/ow.anova.R | 2 - vannstats-1.2.1.8/vannstats/R/qq.R | 8 +++++++ 19 files changed, 21 insertions(+), 25 deletions(-)
Title: Tools for Customer Lifetime Value Estimation
Description: A set of state-of-the-art probabilistic modeling approaches to derive estimates of individual customer lifetime values (CLV).
Commonly, probabilistic approaches focus on modelling 3 processes, i.e. individuals' attrition, transaction, and spending process.
Latent customer attrition models, which are also known as "buy-'til-you-die models", model the attrition as well as the transaction process.
They are used to make inferences and predictions about transactional patterns of individual customers such as their future purchase behavior.
Moreover, these models have also been used to predict individuals’ long-term engagement in activities such as playing an online game or
posting to a social media platform. The spending process is usually modelled by a separate probabilistic model. Combining these results yields in
lifetime values estimates for individual customers.
This package includes fast and accurate implementations of various probabilistic models for non-contractual settings
(e.g., grocery purchases or hotel visits). All implementations support time-invariant covariates, which can be used to control for e.g.,
socio-demographics. If such an extension has been proposed in literature, we further provide the possibility to control for time-varying
covariates to control for e.g., seasonal patterns.
Currently, the package includes the following latent attrition models to model individuals' attrition and transaction process:
[1] Pareto/NBD model (Pareto/Negative-Binomial-Distribution),
[2] the Extended Pareto/NBD model (Pareto/Negative-Binomial-Distribution with time-varying covariates),
[3] the BG/NBD model (Beta-Gamma/Negative-Binomial-Distribution) and the
[4] GGom/NBD (Gamma-Gompertz/Negative-Binomial-Distribution).
Further, we provide an implementation of the Gamma/Gamma model to model the spending process of individuals.
Author: Patrick Bachmann [cre, aut],
Niels Kuebler [aut],
Markus Meierer [aut],
Jeffrey Naef [aut],
Elliot Oblander [aut],
Patrik Schilter [aut]
Maintainer: Patrick Bachmann <pbachma@ethz.ch>
Diff between CLVTools versions 0.8.1 dated 2021-10-18 and 0.9.0 dated 2022-01-08
CLVTools-0.8.1/CLVTools/R/f_generics_clvdata.R |only CLVTools-0.9.0/CLVTools/DESCRIPTION | 23 CLVTools-0.9.0/CLVTools/MD5 | 210 ++--- CLVTools-0.9.0/CLVTools/NAMESPACE | 13 CLVTools-0.9.0/CLVTools/NEWS.md | 16 CLVTools-0.9.0/CLVTools/R/RcppExports.R | 45 + CLVTools-0.9.0/CLVTools/R/all_generics.R | 36 CLVTools-0.9.0/CLVTools/R/class_clv_data.R | 227 +++--- CLVTools-0.9.0/CLVTools/R/class_clv_fitted_transactions.R | 17 CLVTools-0.9.0/CLVTools/R/class_clv_model_bgnbd.R | 18 CLVTools-0.9.0/CLVTools/R/class_clv_model_bgnbd_staticcov.R | 85 +- CLVTools-0.9.0/CLVTools/R/class_clv_model_ggomnbd_nocov.R | 6 CLVTools-0.9.0/CLVTools/R/class_clv_model_ggomnbd_staticcov.R | 6 CLVTools-0.9.0/CLVTools/R/class_clv_model_pnbd.R | 18 CLVTools-0.9.0/CLVTools/R/class_clv_model_pnbd_dynamiccov.R | 6 CLVTools-0.9.0/CLVTools/R/class_clv_model_pnbd_staticcov.R | 63 + CLVTools-0.9.0/CLVTools/R/clv_template_controlflow_pmf.R |only CLVTools-0.9.0/CLVTools/R/data.R | 2 CLVTools-0.9.0/CLVTools/R/f_clvdata_inputchecks.R | 59 + CLVTools-0.9.0/CLVTools/R/f_clvfitted_inputchecks.R | 10 CLVTools-0.9.0/CLVTools/R/f_interface_clvdata.R | 11 CLVTools-0.9.0/CLVTools/R/f_interface_gg.R | 2 CLVTools-0.9.0/CLVTools/R/f_interface_ggomnbd.R | 6 CLVTools-0.9.0/CLVTools/R/f_interface_pmf.R |only CLVTools-0.9.0/CLVTools/R/f_interface_predict_clvfittedtransactions.R | 2 CLVTools-0.9.0/CLVTools/R/f_s3generics_clvdata.R | 193 ++++- CLVTools-0.9.0/CLVTools/R/f_s3generics_clvdata_dynamiccov.R | 16 CLVTools-0.9.0/CLVTools/R/f_s3generics_clvdata_plot.R | 373 +++++++++- CLVTools-0.9.0/CLVTools/R/f_s3generics_clvdata_staticcov.R | 18 CLVTools-0.9.0/CLVTools/R/f_s3generics_clvfitted.R | 2 CLVTools-0.9.0/CLVTools/R/f_s3generics_clvfittedspending_plot.R | 39 - CLVTools-0.9.0/CLVTools/R/f_s3generics_clvfittedtransactions_plot.R | 357 ++++++--- CLVTools-0.9.0/CLVTools/inst/WORDLIST |only CLVTools-0.9.0/CLVTools/inst/doc/CLVTools.R | 11 CLVTools-0.9.0/CLVTools/inst/doc/CLVTools.Rmd | 32 CLVTools-0.9.0/CLVTools/inst/doc/CLVTools.pdf |binary CLVTools-0.9.0/CLVTools/man/CLVTools-package.Rd | 2 CLVTools-0.9.0/CLVTools/man/apparelDynCov.Rd | 2 CLVTools-0.9.0/CLVTools/man/as.clv.data.Rd |only CLVTools-0.9.0/CLVTools/man/as.data.frame.clv.data.Rd |only CLVTools-0.9.0/CLVTools/man/as.data.table.clv.data.Rd |only CLVTools-0.9.0/CLVTools/man/bgnbd.Rd | 13 CLVTools-0.9.0/CLVTools/man/bgnbd_CET.Rd | 9 CLVTools-0.9.0/CLVTools/man/bgnbd_LL.Rd | 17 CLVTools-0.9.0/CLVTools/man/bgnbd_PAlive.Rd | 9 CLVTools-0.9.0/CLVTools/man/bgnbd_expectation.Rd | 9 CLVTools-0.9.0/CLVTools/man/bgnbd_pmf.Rd |only CLVTools-0.9.0/CLVTools/man/clvdata.Rd | 8 CLVTools-0.9.0/CLVTools/man/fitted.clv.fitted.Rd | 2 CLVTools-0.9.0/CLVTools/man/gg.Rd | 6 CLVTools-0.9.0/CLVTools/man/gg_LL.Rd | 4 CLVTools-0.9.0/CLVTools/man/ggomnbd.Rd | 12 CLVTools-0.9.0/CLVTools/man/ggomnbd_LL.Rd | 8 CLVTools-0.9.0/CLVTools/man/plot.clv.data.Rd | 137 +++ CLVTools-0.9.0/CLVTools/man/plot.clv.fitted.spending.Rd | 7 CLVTools-0.9.0/CLVTools/man/plot.clv.fitted.transactions.Rd | 91 +- CLVTools-0.9.0/CLVTools/man/pmf.Rd |only CLVTools-0.9.0/CLVTools/man/pnbd.Rd | 15 CLVTools-0.9.0/CLVTools/man/pnbd_CET.Rd | 11 CLVTools-0.9.0/CLVTools/man/pnbd_DERT.Rd | 11 CLVTools-0.9.0/CLVTools/man/pnbd_LL.Rd | 19 CLVTools-0.9.0/CLVTools/man/pnbd_PAlive.Rd | 11 CLVTools-0.9.0/CLVTools/man/pnbd_expectation.Rd | 11 CLVTools-0.9.0/CLVTools/man/pnbd_pmf.Rd |only CLVTools-0.9.0/CLVTools/man/predict.clv.fitted.transactions.Rd | 2 CLVTools-0.9.0/CLVTools/man/subset.clv.data.Rd |only CLVTools-0.9.0/CLVTools/man/summary.clv.data.Rd | 36 CLVTools-0.9.0/CLVTools/man/summary.clv.fitted.Rd | 2 CLVTools-0.9.0/CLVTools/man/vec_gsl_hyp2f0_e.Rd | 2 CLVTools-0.9.0/CLVTools/man/vec_gsl_hyp2f1_e.Rd | 2 CLVTools-0.9.0/CLVTools/src/RcppExports.cpp | 68 + CLVTools-0.9.0/CLVTools/src/bgnbd.cpp | 220 +++-- CLVTools-0.9.0/CLVTools/src/bgnbd.h | 25 CLVTools-0.9.0/CLVTools/src/clv_vectorized.cpp | 31 CLVTools-0.9.0/CLVTools/src/clv_vectorized.h | 10 CLVTools-0.9.0/CLVTools/src/gg_LL.cpp | 6 CLVTools-0.9.0/CLVTools/src/gg_LL.h | 3 CLVTools-0.9.0/CLVTools/src/ggomnbd.cpp | 110 -- CLVTools-0.9.0/CLVTools/src/ggomnbd.h | 8 CLVTools-0.9.0/CLVTools/src/pnbd.cpp | 183 +++- CLVTools-0.9.0/CLVTools/src/pnbd.h | 25 CLVTools-0.9.0/CLVTools/tests/testthat/helper_s3_fitted.R | 47 - CLVTools-0.9.0/CLVTools/tests/testthat/helper_s3_fitted_plot.R | 117 ++- CLVTools-0.9.0/CLVTools/tests/testthat/helper_s3_fitted_predict.R | 16 CLVTools-0.9.0/CLVTools/tests/testthat/helper_s3_fittedtransactions_pmf.R |only CLVTools-0.9.0/CLVTools/tests/testthat/helper_testthat_consistency.R | 18 CLVTools-0.9.0/CLVTools/tests/testthat/helper_testthat_correctness_clvfitted.R | 2 CLVTools-0.9.0/CLVTools/tests/testthat/helper_testthat_correctness_transactions.R | 56 + CLVTools-0.9.0/CLVTools/tests/testthat/helper_testthat_inputchecks_nocov.R | 5 CLVTools-0.9.0/CLVTools/tests/testthat/helper_testthat_inputchecks_predict_plot.R | 46 - CLVTools-0.9.0/CLVTools/tests/testthat/helper_testthat_runability_common.R | 8 CLVTools-0.9.0/CLVTools/tests/testthat/helper_testthat_runability_nocov.R | 14 CLVTools-0.9.0/CLVTools/tests/testthat/helper_testthat_runability_staticcov.R | 68 - CLVTools-0.9.0/CLVTools/tests/testthat/test_correctness_clvdata_clvdata.R | 29 CLVTools-0.9.0/CLVTools/tests/testthat/test_correctness_clvdata_s3.R |only CLVTools-0.9.0/CLVTools/tests/testthat/test_correctness_pnbd.R | 25 CLVTools-0.9.0/CLVTools/tests/testthat/test_inputchecks_clvdata_clvdata.R | 8 CLVTools-0.9.0/CLVTools/tests/testthat/test_inputchecks_clvdata_plot.R | 97 ++ CLVTools-0.9.0/CLVTools/tests/testthat/test_inputchecks_clvdata_setdynamiccov.R | 4 CLVTools-0.9.0/CLVTools/tests/testthat/test_inputchecks_clvdata_setstaticcov.R | 2 CLVTools-0.9.0/CLVTools/tests/testthat/test_inputchecks_plot_transactions.R | 126 ++- CLVTools-0.9.0/CLVTools/tests/testthat/test_inputchecks_pmf.R |only CLVTools-0.9.0/CLVTools/tests/testthat/test_inputchecks_predict_spending.R | 4 CLVTools-0.9.0/CLVTools/tests/testthat/test_inputchecks_predict_transactions.R | 12 CLVTools-0.9.0/CLVTools/tests/testthat/test_runability_bgnbd_nocov.R | 2 CLVTools-0.9.0/CLVTools/tests/testthat/test_runability_bgnbd_staticcov.R | 2 CLVTools-0.9.0/CLVTools/tests/testthat/test_runability_clvdata_clvdata.R | 6 CLVTools-0.9.0/CLVTools/tests/testthat/test_runability_clvdata_s3.R | 217 +++++ CLVTools-0.9.0/CLVTools/tests/testthat/test_runability_ggomnbd_nocov.R | 2 CLVTools-0.9.0/CLVTools/tests/testthat/test_runability_ggomnbd_staticcov.R | 2 CLVTools-0.9.0/CLVTools/tests/testthat/test_runability_pnbd_nocov.R | 2 CLVTools-0.9.0/CLVTools/tests/testthat/test_runability_pnbd_staticcov.R | 2 CLVTools-0.9.0/CLVTools/vignettes/CLVTools.Rmd | 32 113 files changed, 2947 insertions(+), 1093 deletions(-)
Title: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
Corrections
Description: Provides several cluster-robust variance estimators (i.e.,
sandwich estimators) for ordinary and weighted least squares linear regression
models, including the bias-reduced linearization estimator introduced by Bell
and McCaffrey (2002)
<https://www150.statcan.gc.ca/n1/pub/12-001-x/2002002/article/9058-eng.pdf> and
developed further by Pustejovsky and Tipton (2017)
<DOI:10.1080/07350015.2016.1247004>. The package includes functions for estimating
the variance- covariance matrix and for testing single- and multiple-
contrast hypotheses based on Wald test statistics. Tests of single regression
coefficients use Satterthwaite or saddle-point corrections. Tests of multiple-
contrast hypotheses use an approximation to Hotelling's T-squared distribution.
Methods are provided for a variety of fitted models, including lm() and mlm
objects, glm(), ivreg() (from package 'AER'), plm() (from package 'plm'), gls()
and lme() (from 'nlme'), lmer() (from `lme4`), robu() (from 'robumeta'), and
rma.uni() and rma.mv() (from 'metafor').
Author: James Pustejovsky [aut, cre] (<https://orcid.org/0000-0003-0591-9465>)
Maintainer: James Pustejovsky <jepusto@gmail.com>
Diff between clubSandwich versions 0.5.3 dated 2021-01-23 and 0.5.4 dated 2022-01-08
DESCRIPTION | 10 MD5 | 114 +++--- NAMESPACE | 60 +++ NEWS | 15 R/S3-methods.R | 35 + R/Wald_test.R | 28 - R/clubSandwich.R | 54 ++ R/coef_test.R | 69 ++- R/conf_int.R | 69 ++- R/get_arrays.R | 21 - R/glm.R | 10 R/gls.R | 6 R/ivreg.R | 12 R/lm.R | 2 R/lme.R | 11 R/lmer.R | 18 R/mlm.R | 63 ++- R/plm.R | 14 R/rma-mv.R | 60 ++- R/rma-uni.R | 39 +- R/robu.R | 47 ++ R/utilities.R | 7 build/partial.rdb |binary build/vignette.rds |binary inst/doc/Wald-tests-in-clubSandwich.html | 564 ++++++++++++------------------- inst/doc/meta-analysis-with-CRVE.Rmd | 2 inst/doc/meta-analysis-with-CRVE.html | 344 ++++-------------- inst/doc/panel-data-CRVE.Rmd | 2 inst/doc/panel-data-CRVE.html | 398 ++++++--------------- man/Wald_test.Rd | 2 man/coef_test.Rd | 12 man/conf_int.Rd | 37 +- man/findCluster.rma.mv.Rd |only man/vcovCR.Rd | 4 man/vcovCR.glm.Rd | 4 man/vcovCR.gls.Rd | 4 man/vcovCR.ivreg.Rd | 4 man/vcovCR.lm.Rd | 4 man/vcovCR.lme.Rd | 4 man/vcovCR.lmerMod.Rd | 4 man/vcovCR.mlm.Rd | 4 man/vcovCR.plm.Rd | 4 man/vcovCR.rma.mv.Rd | 4 man/vcovCR.rma.uni.Rd | 4 man/vcovCR.robu.Rd | 4 tests/testthat/test_Wald.R | 52 ++ tests/testthat/test_coef.R | 14 tests/testthat/test_conf_int.R | 36 + tests/testthat/test_estfun.R |only tests/testthat/test_ignore_absorption.R | 12 tests/testthat/test_ivreg.R | 36 + tests/testthat/test_lm.R | 164 ++++++++- tests/testthat/test_mlm.R | 57 +++ tests/testthat/test_plm-fixed-effects.R | 2 tests/testthat/test_rma-mv.R | 211 +++++++++++ tests/testthat/test_rma-uni.R | 193 ++++++++++ tests/testthat/test_robu.R | 98 +++++ vignettes/meta-analysis-with-CRVE.Rmd | 2 vignettes/panel-data-CRVE.Rmd | 2 59 files changed, 1944 insertions(+), 1108 deletions(-)
Title: Bayesian Analysis of Non-Stationary Gaussian Process Models
Description: Enables off-the-shelf functionality for fully Bayesian, nonstationary Gaussian process modeling. The approach to nonstationary modeling involves a closed-form, convolution-based covariance function with spatially-varying parameters; these parameter processes can be specified either deterministically (using covariates or basis functions) or stochastically (using approximate Gaussian processes). Stationary Gaussian processes are a special case of our methodology, and we furthermore implement approximate Gaussian process inference to account for very large spatial data sets (Finley, et al (2017) <arXiv:1702.00434v2>). Bayesian inference is carried out using Markov chain Monte Carlo methods via the 'nimble' package, and posterior prediction for the Gaussian process at unobserved locations is provided as a post-processing step.
Author: Daniel Turek, Mark Risser
Maintainer: Daniel Turek <danielturek@gmail.com>
Diff between BayesNSGP versions 0.1.1 dated 2019-10-12 and 0.1.2 dated 2022-01-08
DESCRIPTION | 13 ++++++------- MD5 | 18 +++++++++--------- R/core.R | 2 +- man/calculateAD_ns.Rd | 17 +++++++++++++++-- man/calculateU_ns.Rd | 19 +++++++++++++++++-- man/nsCrosscorr.Rd | 15 +++++++++++++-- man/nsCrossdist3d.Rd | 9 +++++++-- man/nsgpModel.Rd | 16 ++++++++++++---- man/nsgpPredict.Rd | 11 +++++++++-- man/sgvSetup.Rd | 10 ++++++++-- 10 files changed, 97 insertions(+), 33 deletions(-)
Title: Conformational Manipulations of Protein Atomic Structures
Description: Manipulate and analyze 3-D structural geometry of Protein Data Bank (PDB) files.
Author: Samuel W.K. Wong, Dylan Shi, Megan Hazlett, Jasmine Cheng
Maintainer: Samuel W.K. Wong <samuel.wong@uwaterloo.ca>
Diff between compas versions 0.1 dated 2018-12-02 and 0.1.1 dated 2022-01-08
DESCRIPTION | 12 ++-- MD5 | 10 +-- R/RcppExports.R | 138 ++++++++++++++++++++++++++-------------------------- src/RcppExports.cpp | 30 +++++------ src/calco.cpp | 7 +- src/torsion.cpp | 5 + 6 files changed, 102 insertions(+), 100 deletions(-)
Title: High Dimensional Geometry, Set Operations, Projection, and
Inference Using Kernel Density Estimation, Support Vector
Machines, and Convex Hulls
Description: Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to high-dimensional kernel density estimation, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.
Author: Benjamin Blonder, with contributions from Cecina Babich Morrow, David J. Harris, Stuart Brown, Gregoire Butruille, Alex Laini, and Dan Chen
Maintainer: Benjamin Blonder <benjamin.blonder@berkeley.edu>
Diff between hypervolume versions 3.0.0 dated 2021-11-12 and 3.0.1 dated 2022-01-08
DESCRIPTION | 8 +- MD5 | 10 +-- R/hypervolume_estimate_probability.R | 73 ++++++++++++------------- R/hypervolume_inclusion_test.R | 99 ++++++++++++++--------------------- R/hypervolume_project.R | 40 +++++++------- build/partial.rdb |binary 6 files changed, 106 insertions(+), 124 deletions(-)
Title: Ridge-Type Penalized Estimation of a Potpourri of Models
Description: The name of the package is derived from the French, 'pour' ridge, and provides functionality for ridge-type estimation of a potpourri of models. Currently, this estimation concerns that of various Gaussian graphical models from different study designs. Among others it considers the regular Gaussian graphical model and a mixture of such models. The porridge-package implements the estimation of the former either from i) data with replicated observations by penalized loglikelihood maximization using the regular ridge penalty on the parameters (van Wieringen, Chen, 2021, <doi:10.1002/sim.9028>) or ii) from non-replicated data by means of either a ridge estimator with multiple shrinkage targets (as presented in van Wieringen et al. 2020, <doi:10.1016/j.jmva.2020.104621>) or the generalized ridge estimator that allows for both the inclusion of quantitative and qualitative prior information on the precision matrix via element-wise penalization and shrinkage (van Wieringen, 2019, <doi:10.1080/10618600.2019.1604374>). Additionally, the porridge-package facilitates the ridge penalized estimation of a mixture of Gaussian graphical models (Aflakparast et al., 2018, <doi:10.1002/bimj.201700102>).
Author: Wessel N. van Wieringen [aut, cre],
Mehran Aflakparast [ctb] (part of the R-code of the mixture
functionality)
Maintainer: Wessel N. van Wieringen <w.vanwieringen@vumc.nl>
Diff between porridge versions 0.2.1 dated 2021-04-19 and 0.3.0 dated 2022-01-08
DESCRIPTION | 16 MD5 | 36 NAMESPACE | 4 R/depreciatedFunctions.R |only R/ridgeGLMandCo.R | 2014 +++++++++++++++++++++++++++++++----- inst/CITATION | 50 inst/NEWS.Rd | 8 man/genRidgePenaltyMat.Rd |only man/makeFoldsGLMcv.Rd |only man/optPenaltyGGMmixture.kCVauto.Rd | 10 man/optPenaltyGLM.kCVauto.Rd | 39 man/optPenaltyGLMmultiT.kCVauto.Rd | 135 +- man/optPenaltyPrep.kCVauto.Rd | 14 man/optPenaltyPrepEdiag.kCVauto.Rd | 14 man/porridge-package.Rd | 16 man/ridgeGGMmixture.Rd | 2 man/ridgeGLM.Rd | 20 man/ridgeGLMdof.Rd |only man/ridgeGLMmultiT.Rd | 12 man/ridgePrep.Rd | 2 man/ridgePrepEdiag.Rd | 2 21 files changed, 1988 insertions(+), 406 deletions(-)
Title: An Opinionated Framework for Using 'JavaScript'
Description: Enforces good practice and provides convenience functions to make work with 'JavaScript'
not just easier but also scalable. It is a robust wrapper to 'NPM', 'yarn', and 'webpack' that
enables to compartmentalize 'JavaScript' code, leverage 'NPM' and 'yarn' packages, include
'TypeScript', 'React', or 'Vue' in web applications, and much more.
Author: John Coene [aut, cre] (<https://orcid.org/0000-0002-6637-4107>)
Maintainer: John Coene <jcoenep@gmail.com>
Diff between packer versions 0.1.1 dated 2021-08-14 and 0.1.2 dated 2022-01-08
packer-0.1.1/packer/man/are_minified.Rd |only packer-0.1.2/packer/DESCRIPTION | 10 - packer-0.1.2/packer/MD5 | 90 +++++++++------ packer-0.1.2/packer/NAMESPACE | 11 + packer-0.1.2/packer/NEWS.md | 28 ++++ packer-0.1.2/packer/R/assertions.R | 44 ++++++- packer-0.1.2/packer/R/bare-utils.R |only packer-0.1.2/packer/R/bare.R |only packer-0.1.2/packer/R/checks.R | 110 ++++++++++++++++--- packer-0.1.2/packer/R/engine.R | 64 ++++++++--- packer-0.1.2/packer/R/framework7.R |only packer-0.1.2/packer/R/golem-utils.R | 4 packer-0.1.2/packer/R/golem.R | 35 ++++-- packer-0.1.2/packer/R/lit.R |only packer-0.1.2/packer/R/loaders.R | 52 +++++++- packer-0.1.2/packer/R/react.R | 2 packer-0.1.2/packer/R/rmd.R | 2 packer-0.1.2/packer/R/test.R | 78 +++++++++++-- packer-0.1.2/packer/R/utils.R | 8 + packer-0.1.2/packer/R/widget-utils.R | 2 packer-0.1.2/packer/R/widget.R | 2 packer-0.1.2/packer/R/workflows.R |only packer-0.1.2/packer/README.md | 3 packer-0.1.2/packer/inst/bare |only packer-0.1.2/packer/inst/hooks/check.yml |only packer-0.1.2/packer/inst/hooks/minified.sh | 2 packer-0.1.2/packer/inst/hooks/rprof.R | 5 packer-0.1.2/packer/inst/lit |only packer-0.1.2/packer/inst/templates/framework7 |only packer-0.1.2/packer/inst/templates/peeky-test.js |only packer-0.1.2/packer/inst/templates/react/react_cdn.R | 8 - packer-0.1.2/packer/man/apply_framework7.Rd |only packer-0.1.2/packer/man/ease_lit.Rd |only packer-0.1.2/packer/man/engine_check.Rd |only packer-0.1.2/packer/man/include_action_check.Rd |only packer-0.1.2/packer/man/put_test.Rd |only packer-0.1.2/packer/man/scaffold_bare.Rd |only packer-0.1.2/packer/man/scaffold_golem.Rd | 17 +- packer-0.1.2/packer/man/tests.Rd | 24 ++-- packer-0.1.2/packer/man/use_loader_babel.Rd | 2 packer-0.1.2/packer/man/use_loader_framework7.Rd |only packer-0.1.2/packer/man/use_loader_rule.Rd | 8 - packer-0.1.2/packer/tests/testthat/test-ambiorix.R | 12 +- packer-0.1.2/packer/tests/testthat/test-bare |only packer-0.1.2/packer/tests/testthat/test-bare.R |only packer-0.1.2/packer/tests/testthat/test-check.R | 12 ++ packer-0.1.2/packer/tests/testthat/test-extension.R | 8 - packer-0.1.2/packer/tests/testthat/test-golem.R | 37 +++++- packer-0.1.2/packer/tests/testthat/test-input.R | 14 ++ packer-0.1.2/packer/tests/testthat/test-npm.R | 2 packer-0.1.2/packer/tests/testthat/test-ouput.R | 8 - packer-0.1.2/packer/tests/testthat/test-ts.R | 4 packer-0.1.2/packer/tests/testthat/test-widget.R | 9 - packer-0.1.2/packer/tests/testthat/test-yarn.R | 17 +- 54 files changed, 566 insertions(+), 168 deletions(-)
Title: Analysis of Oceanographic Data
Description: Supports the analysis of Oceanographic data, including 'ADCP'
measurements, measurements made with 'argo' floats, 'CTD' measurements,
sectional data, sea-level time series, coastline and topographic data, etc.
Provides specialized functions for calculating seawater properties such as
potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state.
Produces graphical displays that conform to the conventions of the
Oceanographic literature. This package is discussed extensively by
Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.
Author: Dan Kelley [aut, cre] (<https://orcid.org/0000-0001-7808-5911>),
Clark Richards [aut] (<https://orcid.org/0000-0002-7833-206X>),
Chantelle Layton [ctb] (<https://orcid.org/0000-0002-3199-5763>, curl()
coauthor),
British Geological Survey [ctb, cph] (magnetic-field subroutine)
Maintainer: Dan Kelley <Dan.Kelley@Dal.Ca>
Diff between oce versions 1.4-0 dated 2021-03-28 and 1.5-0 dated 2022-01-08
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oce-1.5-0/oce/R/met.R | 30 oce-1.5-0/oce/R/misc.R | 530 + oce-1.5-0/oce/R/oce.R | 173 oce-1.5-0/oce/R/odf.R | 1362 ++-- oce-1.5-0/oce/R/rsk.R | 16 oce-1.5-0/oce/R/sealevel.R | 28 oce-1.5-0/oce/R/section.R | 681 +- oce-1.5-0/oce/R/spectral.R | 241 oce-1.5-0/oce/R/sun.R | 17 oce-1.5-0/oce/R/sw.R | 475 + oce-1.5-0/oce/R/tides.R | 56 oce-1.5-0/oce/R/topo.R | 22 oce-1.5-0/oce/R/windrose.R | 19 oce-1.5-0/oce/R/xbt.R | 26 oce-1.5-0/oce/build/partial.rdb |binary oce-1.5-0/oce/build/vignette.rds |binary oce-1.5-0/oce/data/section.rda |binary oce-1.5-0/oce/inst/WORDLIST | 16 oce-1.5-0/oce/inst/doc/adp.R | 7 oce-1.5-0/oce/inst/doc/adp.Rmd | 96 oce-1.5-0/oce/inst/doc/adp.html | 198 oce-1.5-0/oce/inst/doc/ctd.html | 16 oce-1.5-0/oce/inst/doc/flags.Rmd | 10 oce-1.5-0/oce/inst/doc/flags.html | 38 oce-1.5-0/oce/inst/doc/map_projections.R | 3 oce-1.5-0/oce/inst/doc/map_projections.Rmd | 9 oce-1.5-0/oce/inst/doc/map_projections.html | 137 oce-1.5-0/oce/inst/doc/oce.Rmd | 10 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oce-1.5-0/oce/man/rotateAboutZ.Rd | 2 oce-1.5-0/oce/man/setFlags-adp-method.Rd | 8 oce-1.5-0/oce/man/setFlags-ctd-method.Rd | 9 oce-1.5-0/oce/man/setFlags-oce-method.Rd | 6 oce-1.5-0/oce/man/setFlags.Rd | 6 oce-1.5-0/oce/man/standardDepths.Rd | 2 oce-1.5-0/oce/man/sub-sub-adp-method.Rd | 159 oce-1.5-0/oce/man/sub-sub-adv-method.Rd | 163 oce-1.5-0/oce/man/sub-sub-amsr-method.Rd | 137 oce-1.5-0/oce/man/sub-sub-argo-method.Rd | 135 oce-1.5-0/oce/man/sub-sub-bremen-method.Rd | 134 oce-1.5-0/oce/man/sub-sub-cm-method.Rd | 136 oce-1.5-0/oce/man/sub-sub-coastline-method.Rd | 139 oce-1.5-0/oce/man/sub-sub-ctd-method.Rd | 234 oce-1.5-0/oce/man/sub-sub-echosounder-method.Rd | 148 oce-1.5-0/oce/man/sub-sub-g1sst-method.Rd | 134 oce-1.5-0/oce/man/sub-sub-gps-method.Rd | 139 oce-1.5-0/oce/man/sub-sub-ladp-method.Rd | 135 oce-1.5-0/oce/man/sub-sub-landsat-method.Rd | 147 oce-1.5-0/oce/man/sub-sub-lisst-method.Rd | 134 oce-1.5-0/oce/man/sub-sub-lobo-method.Rd | 134 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oce-1.5-0/oce/man/swAlpha.Rd | 4 oce-1.5-0/oce/man/swAlphaOverBeta.Rd | 4 oce-1.5-0/oce/man/swBeta.Rd | 4 oce-1.5-0/oce/man/swCSTp.Rd | 10 oce-1.5-0/oce/man/swConservativeTemperature.Rd | 4 oce-1.5-0/oce/man/swDepth.Rd | 4 oce-1.5-0/oce/man/swDynamicHeight.Rd | 4 oce-1.5-0/oce/man/swLapseRate.Rd | 4 oce-1.5-0/oce/man/swN2.Rd | 10 oce-1.5-0/oce/man/swPressure.Rd | 4 oce-1.5-0/oce/man/swRho.Rd | 7 oce-1.5-0/oce/man/swRrho.Rd | 8 oce-1.5-0/oce/man/swSCTp.Rd | 4 oce-1.5-0/oce/man/swSR.Rd |only oce-1.5-0/oce/man/swSTrho.Rd | 4 oce-1.5-0/oce/man/swSigma.Rd | 7 oce-1.5-0/oce/man/swSigma0.Rd | 7 oce-1.5-0/oce/man/swSigma1.Rd | 7 oce-1.5-0/oce/man/swSigma2.Rd | 7 oce-1.5-0/oce/man/swSigma3.Rd | 7 oce-1.5-0/oce/man/swSigma4.Rd | 7 oce-1.5-0/oce/man/swSigmaT.Rd | 7 oce-1.5-0/oce/man/swSigmaTheta.Rd | 9 oce-1.5-0/oce/man/swSoundAbsorption.Rd | 7 oce-1.5-0/oce/man/swSoundSpeed.Rd | 7 oce-1.5-0/oce/man/swSpecificHeat.Rd | 8 oce-1.5-0/oce/man/swSpice.Rd | 4 oce-1.5-0/oce/man/swSstar.Rd |only oce-1.5-0/oce/man/swTFreeze.Rd | 6 oce-1.5-0/oce/man/swTSrho.Rd | 4 oce-1.5-0/oce/man/swThermalConductivity.Rd | 4 oce-1.5-0/oce/man/swTheta.Rd | 6 oce-1.5-0/oce/man/swViscosity.Rd | 4 oce-1.5-0/oce/man/swZ.Rd | 4 oce-1.5-0/oce/man/tidem.Rd | 5 oce-1.5-0/oce/man/tidemVuf.Rd | 3 oce-1.5-0/oce/man/toEnu.Rd | 2 oce-1.5-0/oce/man/toEnuAdp.Rd | 2 oce-1.5-0/oce/man/unitFromString.Rd | 21 oce-1.5-0/oce/man/vectorShow.Rd | 7 oce-1.5-0/oce/man/velocityStatistics.Rd | 2 oce-1.5-0/oce/man/woceNames2oceNames.Rd | 4 oce-1.5-0/oce/man/woceUnit2oceUnit.Rd | 1 oce-1.5-0/oce/man/write.ctd.Rd | 1 oce-1.5-0/oce/man/xyzToEnu.Rd | 2 oce-1.5-0/oce/man/xyzToEnuAdp.Rd | 2 oce-1.5-0/oce/man/xyzToEnuAdpAD2CP.Rd | 2 oce-1.5-0/oce/src/Makevars |only oce-1.5-0/oce/src/Makevars.win |only oce-1.5-0/oce/src/RcppExports.cpp | 12 oce-1.5-0/oce/src/interp_barnes.cpp | 148 oce-1.5-0/oce/src/ldc_ad2cp_in_file.cpp | 22 oce-1.5-0/oce/src/ldc_rdi_in_file.cpp | 61 oce-1.5-0/oce/src/map.c | 12 oce-1.5-0/oce/src/registerDynamicSymbol.c | 4 oce-1.5-0/oce/tests/testthat.R | 1 oce-1.5-0/oce/tests/testthat/test_accessors.R | 257 oce-1.5-0/oce/tests/testthat/test_ad2cp_1.R | 943 +-- oce-1.5-0/oce/tests/testthat/test_ad2cp_2.R | 213 oce-1.5-0/oce/tests/testthat/test_adp.R | 541 - oce-1.5-0/oce/tests/testthat/test_adv.R | 102 oce-1.5-0/oce/tests/testthat/test_air.R | 1 oce-1.5-0/oce/tests/testthat/test_allclass.R | 70 oce-1.5-0/oce/tests/testthat/test_amsr.R | 2 oce-1.5-0/oce/tests/testthat/test_argo.R | 359 - oce-1.5-0/oce/tests/testthat/test_astronomical.R | 177 oce-1.5-0/oce/tests/testthat/test_cm.R | 31 oce-1.5-0/oce/tests/testthat/test_coastline.R | 36 oce-1.5-0/oce/tests/testthat/test_colormap.R | 396 - oce-1.5-0/oce/tests/testthat/test_ctd.R | 963 +-- oce-1.5-0/oce/tests/testthat/test_curl.R | 8 oce-1.5-0/oce/tests/testthat/test_datasets.R | 2 oce-1.5-0/oce/tests/testthat/test_echosounder.R | 1 oce-1.5-0/oce/tests/testthat/test_flags.R | 496 - oce-1.5-0/oce/tests/testthat/test_geod.R | 1 oce-1.5-0/oce/tests/testthat/test_hydrographic.R |only oce-1.5-0/oce/tests/testthat/test_landsat.R | 75 oce-1.5-0/oce/tests/testthat/test_lisst.R | 56 oce-1.5-0/oce/tests/testthat/test_local_adp.R | 316 - oce-1.5-0/oce/tests/testthat/test_local_adv.R | 56 oce-1.5-0/oce/tests/testthat/test_local_cm.R | 1 oce-1.5-0/oce/tests/testthat/test_local_coastline.R | 1 oce-1.5-0/oce/tests/testthat/test_local_ctd.R | 192 oce-1.5-0/oce/tests/testthat/test_local_gps.R | 1 oce-1.5-0/oce/tests/testthat/test_local_index.R | 1 oce-1.5-0/oce/tests/testthat/test_local_lobo.R | 1 oce-1.5-0/oce/tests/testthat/test_local_odf.R | 458 - oce-1.5-0/oce/tests/testthat/test_local_plotProfile.R | 7 oce-1.5-0/oce/tests/testthat/test_local_satellite.R | 1 oce-1.5-0/oce/tests/testthat/test_local_section.R | 1 oce-1.5-0/oce/tests/testthat/test_map.R | 109 oce-1.5-0/oce/tests/testthat/test_met.R | 169 oce-1.5-0/oce/tests/testthat/test_misc.R | 666 +- oce-1.5-0/oce/tests/testthat/test_oce.R | 758 +- oce-1.5-0/oce/tests/testthat/test_odf.R | 195 oce-1.5-0/oce/tests/testthat/test_odv.R | 62 oce-1.5-0/oce/tests/testthat/test_plotting.R | 1 oce-1.5-0/oce/tests/testthat/test_rsk.R | 79 oce-1.5-0/oce/tests/testthat/test_section.R | 482 - oce-1.5-0/oce/tests/testthat/test_subset.R | 152 oce-1.5-0/oce/tests/testthat/test_sw.R | 685 +- oce-1.5-0/oce/tests/testthat/test_tide.R | 2 oce-1.5-0/oce/tests/testthat/test_tidem.R | 402 - oce-1.5-0/oce/tests/testthat/test_topo.R | 2 oce-1.5-0/oce/tests/testthat/test_units.R | 36 oce-1.5-0/oce/tests/testthat/test_webtide.R | 39 oce-1.5-0/oce/tests/testthat/test_xbt.R | 53 oce-1.5-0/oce/vignettes/adp.Rmd | 96 oce-1.5-0/oce/vignettes/ctd-object.png |binary oce-1.5-0/oce/vignettes/flags.Rmd | 10 oce-1.5-0/oce/vignettes/map_projections.Rmd | 9 oce-1.5-0/oce/vignettes/oce.Rmd | 10 336 files changed, 14893 insertions(+), 11710 deletions(-)
Title: Exploratory Chemometrics for Spectroscopy
Description: A collection of functions for top-down exploratory data analysis
of spectral data including nuclear magnetic resonance (NMR), infrared (IR),
Raman, X-ray fluorescence (XRF) and other similar types of spectroscopy.
Includes functions for plotting and inspecting spectra, peak alignment,
hierarchical cluster analysis (HCA), principal components analysis (PCA) and
model-based clustering. Robust methods appropriate for this type of
high-dimensional data are available. ChemoSpec is designed for structured
experiments, such as metabolomics investigations, where the samples fall into
treatment and control groups. Graphical output is formatted consistently for
publication quality plots. ChemoSpec is intended to be very user friendly and
to help you get usable results quickly. A vignette covering typical operations
is available.
Author: Bryan A. Hanson [aut, cre] (<https://orcid.org/0000-0003-3536-8246>),
Mike Bostock [cph, ctb] (author of the d3.js library used by
plotSpectraJS, http://d3js.org),
Matt Keinsley [ctb] (author of initial AOV-PCA code),
Tejasvi Gupta [ctb] (author of ggplot2 and plotly graphics)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>
Diff between ChemoSpec versions 6.0.1 dated 2021-10-11 and 6.1.0 dated 2022-01-08
ChemoSpec-6.0.1/ChemoSpec/R/mclust3D.R |only ChemoSpec-6.0.1/ChemoSpec/R/plotScores3D.R |only ChemoSpec-6.0.1/ChemoSpec/R/plotScoresRGL.R |only ChemoSpec-6.1.0/ChemoSpec/DESCRIPTION | 12 +- ChemoSpec-6.1.0/ChemoSpec/MD5 | 67 ++++++------ ChemoSpec-6.1.0/ChemoSpec/NAMESPACE | 10 + ChemoSpec-6.1.0/ChemoSpec/NEWS.md | 15 ++ ChemoSpec-6.1.0/ChemoSpec/R/DEFUNCT-plotScores3D.R |only ChemoSpec-6.1.0/ChemoSpec/R/DEFUNCT-plotScoresRGL.R |only ChemoSpec-6.1.0/ChemoSpec/R/DollarNames.R |only ChemoSpec-6.1.0/ChemoSpec/R/c_pcaSpectra.R | 5 ChemoSpec-6.1.0/ChemoSpec/R/conColSchemeStub.R |only ChemoSpec-6.1.0/ChemoSpec/R/irlba_pcaSpectra.R | 5 ChemoSpec-6.1.0/ChemoSpec/R/mclust3dSpectra.R | 108 +++++++++++--------- ChemoSpec-6.1.0/ChemoSpec/R/plot2Loadings.R | 2 ChemoSpec-6.1.0/ChemoSpec/R/plot3dScores.R |only ChemoSpec-6.1.0/ChemoSpec/R/plotSpectra.R | 21 ++- ChemoSpec-6.1.0/ChemoSpec/R/plotly3d.R |only ChemoSpec-6.1.0/ChemoSpec/R/r_pcaSpectra.R | 5 ChemoSpec-6.1.0/ChemoSpec/R/s_pcaSpectra.R | 5 ChemoSpec-6.1.0/ChemoSpec/build/vignette.rds |binary ChemoSpec-6.1.0/ChemoSpec/data/SrE.IR.RData |binary ChemoSpec-6.1.0/ChemoSpec/data/SrE.NMR.RData |binary ChemoSpec-6.1.0/ChemoSpec/data/alignMUD.RData |binary ChemoSpec-6.1.0/ChemoSpec/data/metMUD1.RData |binary ChemoSpec-6.1.0/ChemoSpec/data/metMUD2.RData |binary ChemoSpec-6.1.0/ChemoSpec/inst/doc/ChemoSpec.R | 8 - ChemoSpec-6.1.0/ChemoSpec/inst/doc/ChemoSpec.Rmd | 26 +--- ChemoSpec-6.1.0/ChemoSpec/inst/doc/ChemoSpec.pdf |binary ChemoSpec-6.1.0/ChemoSpec/man/c_pcaSpectra.Rd | 5 ChemoSpec-6.1.0/ChemoSpec/man/conColScheme.Rd |only ChemoSpec-6.1.0/ChemoSpec/man/irlba_pcaSpectra.Rd | 5 ChemoSpec-6.1.0/ChemoSpec/man/mclust3dSpectra.Rd | 52 ++------- ChemoSpec-6.1.0/ChemoSpec/man/plot3dScores.Rd |only ChemoSpec-6.1.0/ChemoSpec/man/plotScores3D.Rd | 9 - ChemoSpec-6.1.0/ChemoSpec/man/plotScoresRGL.Rd | 6 - ChemoSpec-6.1.0/ChemoSpec/man/plotSpectra.Rd | 2 ChemoSpec-6.1.0/ChemoSpec/man/r_pcaSpectra.Rd | 5 ChemoSpec-6.1.0/ChemoSpec/man/s_pcaSpectra.Rd | 5 ChemoSpec-6.1.0/ChemoSpec/vignettes/ChemoSpec.Rmd | 26 +--- 40 files changed, 186 insertions(+), 218 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-17 1.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-11-06 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-17 0.3.2
2020-12-10 0.2.9
2020-09-30 0.2.8
2018-09-29 0.2.6
2018-01-04 0.2.5
2017-07-10 0.2.4
2017-07-08 0.2.3
2016-04-28 0.2.2
2016-01-14 0.1.4
2015-11-18 0.1.2
Title: Sparse Lightweight Arrays and Matrices
Description: Data structures and algorithms for sparse arrays and matrices,
based on index arrays and simple triplet representations, respectively.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>),
David Meyer [aut],
Christian Buchta [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>
Diff between slam versions 0.1-49 dated 2021-11-17 and 0.1-50 dated 2022-01-08
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ R/array.R | 2 ++ R/matrix.R | 2 ++ R/reduce.R | 25 +++++++++++++++++-------- tests/ssa_valid.R | 3 ++- tests/ssa_valid.Rout.save | 15 +++++++++------ 7 files changed, 41 insertions(+), 24 deletions(-)
Title: Innovative Trend Analysis and Time-Series Change Point Analysis
Description: Innovative Trend Analysis is a graphical method to examine the trends in time series data. Sequential Mann-Kendall test uses the intersection of prograde and retrograde series to indicate the possible change point in time series data. Distribution free cumulative sum charts indicate location and significance of the change point in time series.
Zekai, S. (2011). <doi:10.1061/(ASCE)HE.1943-5584.0000556>.
Grayson, R. B. et al. (1996). Hydrological Recipes: Estimation Techniques in Australian Hydrology. Cooperative Research Centre for Catchment Hydrology, Australia, p. 125.
Sneyers, S. (1990). On the statistical analysis of series of observations. Technical note no 5 143, WMO No 725 415. Secretariat of the World Meteorological Organization, Geneva, 192 pp.
Author: Sandeep Kumar Patakamuri [aut, cre]
(<https://orcid.org/0000-0001-8965-8287>),
Bappa Das [aut, ctb] (<https://orcid.org/0000-0003-1286-1492>)
Maintainer: Sandeep Kumar Patakamuri <sandeep.patakamuri@gmail.com>
Diff between trendchange versions 1.1 dated 2019-11-26 and 1.2 dated 2022-01-08
DESCRIPTION | 29 +++++++++++++-------- MD5 | 20 ++++++++++---- NAMESPACE | 32 ++++++++++++----------- R/data.R |only R/exampledf.R |only R/innovtrend.R | 74 +++++++++++++++++++++--------------------------------- R/ipta.R |only README.md | 5 ++- data |only man/df.Rd |only man/innovtrend.Rd | 14 +++++----- man/ipta.Rd |only man/x.Rd |only tests |only 14 files changed, 91 insertions(+), 83 deletions(-)
Title: Estimating Conditional Auto-Regressive (CAR) Models using Monte
Carlo Likelihood Methods
Description: The likelihood of direct CAR models and Binomial and Poisson GLM with latent CAR variables are approximated by the Monte Carlo likelihood. The Maximum Monte Carlo likelihood estimator is found either by an iterative procedure of directly maximising the Monte Carlo approximation or by a response surface design method.Reference for the method can be found in the DPhil thesis in Z. Sha (2016). For application a good reference is R.Bivand et.al (2017) <doi:10.1016/j.spasta.2017.01.002>.
Author: Zhe Sha [aut, cre]
Maintainer: Zhe Sha <zhesha1006@gmail.com>
Diff between mclcar versions 0.1-9 dated 2018-04-09 and 0.2-0 dated 2022-01-08
DESCRIPTION | 10 ++++----- MD5 | 46 +++++++++++++++++++++---------------------- NAMESPACE | 8 ++++++- build/partial.rdb |binary build/vignette.rds |binary inst/doc/mclcar_vignette.R | 36 ++++++++++++++++----------------- inst/doc/mclcar_vignette.pdf |binary man/CAR.simLM.Rd | 4 +-- man/OptimMCL.HCAR.Rd | 5 ++-- man/OptimMCL.Rd | 7 +++--- man/ScotCancer.Rd | 2 - man/loglik.dCAR.Rd | 4 +-- man/mcl.HCAR.Rd | 5 ++-- man/mcl.dCAR.Rd | 6 ++--- man/mcl.glm.Rd | 7 +++--- man/mclcar-package.Rd | 1 man/plot.rsmMCL.Rd | 8 +++---- man/postZ.Rd | 5 ++-- man/rsmMCL.Rd | 8 +++---- man/scotplot.Rd | 2 - man/sim.HCAR.Rd | 5 ++-- man/summary.OptimMCL.HCAR.Rd | 6 ++--- man/summary.OptimMCL.Rd | 6 ++--- man/summary.rsmMCL.Rd | 8 +++---- 24 files changed, 101 insertions(+), 88 deletions(-)
Title: Marginal Effects, Marginal Means, Predictions, and Contrasts
Description: Compute, summarize, and plot marginal effects, adjusted predictions, contrasts, and marginal means for a wide variety of models.
Author: Vincent Arel-Bundock [aut, cre, cph]
(<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Diff between marginaleffects versions 0.2.0 dated 2021-10-18 and 0.3.0 dated 2022-01-08
marginaleffects-0.2.0/marginaleffects/R/counterfactual_typical.R |only marginaleffects-0.2.0/marginaleffects/R/get_dydx_and_se.R |only marginaleffects-0.2.0/marginaleffects/R/get_dydx_se.R |only marginaleffects-0.2.0/marginaleffects/R/supported_models.R |only marginaleffects-0.2.0/marginaleffects/data |only marginaleffects-0.2.0/marginaleffects/inst/doc/benchmark.R |only marginaleffects-0.2.0/marginaleffects/inst/doc/benchmark.Rmd |only marginaleffects-0.2.0/marginaleffects/inst/doc/benchmark.html |only marginaleffects-0.2.0/marginaleffects/man/print.marginaleffects.summary.Rd |only marginaleffects-0.2.0/marginaleffects/man/print.marginalmeans.summary.Rd |only marginaleffects-0.2.0/marginaleffects/man/supported_models.Rd |only marginaleffects-0.2.0/marginaleffects/vignettes/benchmark.Rmd |only marginaleffects-0.3.0/marginaleffects/DESCRIPTION | 60 - marginaleffects-0.3.0/marginaleffects/MD5 | 273 ++++---- marginaleffects-0.3.0/marginaleffects/NAMESPACE | 19 marginaleffects-0.3.0/marginaleffects/NEWS.md | 35 + marginaleffects-0.3.0/marginaleffects/R/datagrid.R |only marginaleffects-0.3.0/marginaleffects/R/get_contrasts.R |only marginaleffects-0.3.0/marginaleffects/R/get_dydx.R | 196 ++---- marginaleffects-0.3.0/marginaleffects/R/get_hdi.R |only marginaleffects-0.3.0/marginaleffects/R/get_predict.R | 107 +++ marginaleffects-0.3.0/marginaleffects/R/marginaleffects.R | 195 +++--- marginaleffects-0.3.0/marginaleffects/R/marginalmeans.R | 192 +++--- marginaleffects-0.3.0/marginaleffects/R/mean_or_mode.R | 12 marginaleffects-0.3.0/marginaleffects/R/methods_MASS.R | 60 + marginaleffects-0.3.0/marginaleffects/R/methods_aod.R |only marginaleffects-0.3.0/marginaleffects/R/methods_bife.R | 8 marginaleffects-0.3.0/marginaleffects/R/methods_brglm2.R |only marginaleffects-0.3.0/marginaleffects/R/methods_brms.R |only marginaleffects-0.3.0/marginaleffects/R/methods_crch.R | 5 marginaleffects-0.3.0/marginaleffects/R/methods_lme4.R | 17 marginaleffects-0.3.0/marginaleffects/R/methods_nnet.R | 31 marginaleffects-0.3.0/marginaleffects/R/methods_ordinal.R | 13 marginaleffects-0.3.0/marginaleffects/R/methods_pscl.R | 13 marginaleffects-0.3.0/marginaleffects/R/methods_quantreg.R | 21 marginaleffects-0.3.0/marginaleffects/R/methods_rstanarm.R |only marginaleffects-0.3.0/marginaleffects/R/methods_survival.R |only marginaleffects-0.3.0/marginaleffects/R/plot_cap.R | 21 marginaleffects-0.3.0/marginaleffects/R/plot_cme.R | 6 marginaleffects-0.3.0/marginaleffects/R/poorman.R |only marginaleffects-0.3.0/marginaleffects/R/posteriordraws.R |only marginaleffects-0.3.0/marginaleffects/R/predictions.R | 121 ++- marginaleffects-0.3.0/marginaleffects/R/sanity.R | 50 + marginaleffects-0.3.0/marginaleffects/R/sanity_model.R | 6 marginaleffects-0.3.0/marginaleffects/R/sanity_type.R | 40 - 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More information about marginaleffects at CRAN
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Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general
engine for big data processing, see <https://spark.apache.org/>. This
package supports connecting to local and remote Apache Spark clusters,
provides a 'dplyr' compatible back-end, and provides an interface to
Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut],
Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>),
Kevin Ushey [aut],
JJ Allaire [aut],
Samuel Macedo [ctb],
Hossein Falaki [aut],
Lu Wang [aut],
Andy Zhang [aut],
Yitao Li [aut] (<https://orcid.org/0000-0002-1261-905X>),
Jozef Hajnala [ctb],
Maciej Szymkiewicz [ctb] (<https://orcid.org/0000-0003-1469-9396>),
Wil Davis [ctb],
Edgar Ruiz [aut, cre],
RStudio [cph],
The Apache Software Foundation [aut, cph]
Maintainer: Edgar Ruiz <edgar@rstudio.com>
Diff between sparklyr versions 1.7.3 dated 2021-11-30 and 1.7.4 dated 2022-01-08
DESCRIPTION | 21 ++- MD5 | 158 ++++++++++++++--------------- NEWS.md | 9 + R/data_interface.R | 18 +-- R/install_spark_windows.R | 2 R/partial_eval.R | 13 ++ R/sdf_interface.R | 2 R/sdf_wrapper.R | 2 R/spark_connection.R | 2 README.md | 6 - build/partial.rdb |binary man/ft_binarizer.Rd | 2 man/ft_bucketizer.Rd | 2 man/ft_chisq_selector.Rd | 2 man/ft_count_vectorizer.Rd | 2 man/ft_dct.Rd | 2 man/ft_elementwise_product.Rd | 2 man/ft_feature_hasher.Rd | 2 man/ft_hashing_tf.Rd | 2 man/ft_idf.Rd | 2 man/ft_imputer.Rd | 2 man/ft_index_to_string.Rd | 2 man/ft_interaction.Rd | 2 man/ft_lsh.Rd | 2 man/ft_max_abs_scaler.Rd | 2 man/ft_min_max_scaler.Rd | 2 man/ft_ngram.Rd | 2 man/ft_normalizer.Rd | 2 man/ft_one_hot_encoder.Rd | 2 man/ft_one_hot_encoder_estimator.Rd | 2 man/ft_pca.Rd | 2 man/ft_polynomial_expansion.Rd | 2 man/ft_quantile_discretizer.Rd | 2 man/ft_r_formula.Rd | 2 man/ft_regex_tokenizer.Rd | 2 man/ft_robust_scaler.Rd | 2 man/ft_standard_scaler.Rd | 2 man/ft_stop_words_remover.Rd | 2 man/ft_string_indexer.Rd | 2 man/ft_tokenizer.Rd | 2 man/ft_vector_assembler.Rd | 2 man/ft_vector_indexer.Rd | 2 man/ft_vector_slicer.Rd | 2 man/ft_word2vec.Rd | 2 man/ml_aft_survival_regression.Rd | 2 man/ml_bisecting_kmeans.Rd | 2 man/ml_decision_tree.Rd | 2 man/ml_gaussian_mixture.Rd | 2 man/ml_generalized_linear_regression.Rd | 2 man/ml_gradient_boosted_trees.Rd | 2 man/ml_isotonic_regression.Rd | 2 man/ml_kmeans.Rd | 2 man/ml_lda.Rd | 2 man/ml_linear_regression.Rd | 2 man/ml_linear_svc.Rd | 2 man/ml_logistic_regression.Rd | 2 man/ml_multilayer_perceptron_classifier.Rd | 2 man/ml_naive_bayes.Rd | 2 man/ml_one_vs_rest.Rd | 2 man/ml_random_forest.Rd | 2 man/sdf_persist.Rd | 2 man/sdf_schema.Rd | 2 man/spark-api.Rd | 2 man/spark_load_table.Rd | 2 man/spark_read_jdbc.Rd | 2 man/spark_read_orc.Rd | 2 man/spark_read_parquet.Rd | 2 man/spark_read_source.Rd | 2 man/spark_read_table.Rd | 2 man/spark_save_table.Rd | 2 man/spark_write_csv.Rd | 2 man/spark_write_delta.Rd | 2 man/spark_write_jdbc.Rd | 2 man/spark_write_json.Rd | 2 man/spark_write_orc.Rd | 4 man/spark_write_parquet.Rd | 4 man/spark_write_source.Rd | 2 man/spark_write_table.Rd | 2 man/spark_write_text.Rd | 2 man/sql-transformer.Rd | 2 80 files changed, 200 insertions(+), 175 deletions(-)
Title: Soil Database Interface
Description: A collection of functions for reading data from USDA-NCSS soil databases.
Author: Dylan Beaudette [aut],
Jay Skovlin [aut],
Stephen Roecker [aut],
Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>
Diff between soilDB versions 2.6.10 dated 2021-12-14 and 2.6.12 dated 2022-01-08
DESCRIPTION | 6 MD5 | 99 +++--- NEWS.md | 17 + R/ISSR800.R | 2 R/KSSL_VG_model.R | 18 - R/ROSETTA.R | 10 R/SDA-spatial.R | 29 +- R/SDA_interpretations.R | 2 R/SDA_pmgroupname.R | 2 R/SDA_properties.R | 84 +++-- R/SoilDataViewer.R |only R/createStaticNASIS.R | 20 - R/fetchNASIS.R | 14 R/fetchNASIS_components.R | 2 R/fetchNASIS_pedons.R | 35 +- R/fetchOSD.R | 18 - R/fetchVegdata.R | 2 R/get_NASIS_table_name_by_purpose.R | 15 - R/get_component_data_from_NASIS_db.R | 442 ++++++------------------------- R/get_component_from_SDA.R | 33 +- R/get_extended_data_from_NASIS_db.R | 14 R/get_mapunit_from_NASIS.R |only R/get_projectmapunit_from_NASIS.R | 2 R/get_site_data_from_NASIS_db.R | 84 ++++- R/get_soilseries_from_NASIS.R | 2 R/get_text_notes_from_NASIS_db.R | 86 ++++++ R/openNASISchannel.R | 4 R/simplfyFragmentData.R | 9 R/utils.R | 171 +++++++++-- R/waterDayYear.R | 7 build/partial.rdb |binary data/gopheridge.rda |binary data/mineralKing.rda |binary man/ISSR800.wcs.Rd | 21 - man/KSSL_VG_model.Rd | 4 man/ROSETTA.Rd | 9 man/SDA_spatialQuery.Rd | 4 man/fetchNASIS.Rd | 16 - man/fetchOSD.Rd | 4 man/fetchSDA.Rd | 66 +++- man/fetchVegdata.Rd | 2 man/get_SDV_legend_elements.Rd |only man/get_component_data_from_NASIS_db.Rd | 54 +++ man/get_mapunit_from_NASIS.Rd |only man/get_site_data_from_NASIS_db.Rd | 3 man/get_text_notes_from_NASIS_db.Rd | 6 man/simplifyFragmentData.Rd | 5 man/waterDayYear.Rd | 6 tests/testthat/test-SDA_query.R | 3 tests/testthat/test-SoilDataViewer.R |only tests/testthat/test-fetchOSD.R | 2 tests/testthat/test-fetchSDA_component.R | 9 tests/testthat/test-waterDayYear.R | 4 53 files changed, 826 insertions(+), 621 deletions(-)
Title: Rcpp Integration for CGAL
Description: Creates a header only package to link to the CGAL
(Computational Geometry Algorithms Library)
header files in Rcpp. There are a variety of potential uses for
the software such as Hilbert sorting, KDtree nearest neighbors,
and convex hull algorithms. There is only one R function in this
package, which returns the current version of the CGAL library
included. For more information about how to use the header files,
see the CGAL documentation at <https://www.cgal.org>. Currently
includes the CGAL 5.3.1 stable release.
Author: Eric Dunipace
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>
Diff between RcppCGAL versions 5.3.1 dated 2021-12-17 and 5.3.1.1 dated 2022-01-08
DESCRIPTION | 12 +++---- MD5 | 15 +++++---- R/RcppCGAL-package.R | 10 +++++- R/downloader.R | 67 ++++++++++++++++++++++++++++++++++++++++++- R/zzz.R | 8 +++-- README.md | 15 ++++++--- inst/CITATION |only inst/NEWS.md |only man/RcppCGAL-package.Rd | 20 +++++------- man/dot-cgal.cerr.remover.Rd |only 10 files changed, 114 insertions(+), 33 deletions(-)
Title: Retrieve and Plot Google n-Gram Data
Description: Retrieve and plot word frequencies through time from the "Google
Ngram Viewer" <https://books.google.com/ngrams>.
Author: Sean Carmody [aut, cre, cph]
Maintainer: Sean Carmody <seancarmody@gmail.com>
Diff between ngramr versions 1.7.4 dated 2021-05-13 and 1.7.5 dated 2022-01-08
DESCRIPTION | 10 +++++----- MD5 | 12 ++++++------ NEWS | 5 +++++ R/ngram.R | 8 ++++---- R/ngrami.R | 3 +++ R/ngramr-package.R | 4 ++-- man/ngrami.Rd | 3 ++- 7 files changed, 27 insertions(+), 18 deletions(-)
Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>
Diff between castor versions 1.7.1 dated 2022-01-04 and 1.7.2 dated 2022-01-08
DESCRIPTION | 11 ++++++----- MD5 | 8 ++++---- R/fit_hbd_model_parametric.R | 10 +++++----- R/fit_musse.R | 2 +- man/fit_musse.Rd | 6 +++--- 5 files changed, 19 insertions(+), 18 deletions(-)
Title: Adrian Dusa's Miscellaneous
Description: Contains functions used across packages 'declared', 'DDIwR', 'mixed',
'QCA' and 'venn'. Interprets and translates, factorizes and negates SOP - Sum
of Products expressions, for both binary and multi-value crisp sets, and
extracts information (set names, set values) from those expressions. Other
functions perform various other checks if possibly numeric (even if all
numbers reside in a character vector) and coerce to numeric, or check if the
numbers are whole. It also offers, among many others, a highly flexible
recoding routine and a more flexible alternative to the base function
'with()'.
Some of the functions in this package use related functions from package
'QCA'. Users are encouraged to install that package despite not being listed
in the Imports field, due to circular dependency issues.
Author: Adrian Dusa [aut, cre, cph] (<https://orcid.org/0000-0002-3525-9253>)
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>
Diff between admisc versions 0.21 dated 2021-12-03 and 0.22 dated 2022-01-08
DESCRIPTION | 27 ++++--- MD5 | 125 +++++++++++++++++++----------------- NAMESPACE | 13 +++ R/asNumeric.R | 2 R/asSOP.R | 2 R/brackets.R | 34 ++++++--- R/checkMV.R | 13 ++- R/checkSubset.R | 2 R/checkValid.R | 4 - R/classify.R | 2 R/coerceMode.R |only R/combnk.R | 2 R/compute.R | 2 R/dashes.R | 2 R/equality.R | 2 R/expand.R | 2 R/export.R | 2 R/factorize.R | 2 R/finvert.R | 2 R/frelevel.R | 2 R/getInfo.R | 12 +-- R/getLevels.R | 2 R/getMatrix.R | 2 R/getName.R | 2 R/hclr.R |only R/intersection.R | 2 R/invert.R | 2 R/list.rda.R | 5 + R/mvSOP.R | 18 ++--- R/negate.R | 2 R/obj.rda.R | 5 + R/onLoad.R | 2 R/permutations.R | 2 R/possibleNumeric.R | 2 R/prettyString.R | 2 R/prettyTable.R | 2 R/print.R | 50 ++++++++++++++ R/recode.R | 2 R/recreate.R | 2 R/reload.R | 4 - R/replaceText.R | 2 R/simplify.R | 2 R/sortExpressions.R | 2 R/stopError.R | 2 R/string.R | 2 R/tagged.R |only R/tildae.R | 2 R/translate.R | 2 R/tryCatchWEM.R | 17 ++-- R/uninstall.R | 2 R/unload.R | 2 R/unlockEnvironment.R | 2 R/using.R |only R/validateNames.R | 2 R/verify.R | 2 R/wholeNumeric.R | 2 R/writePrimeimp.R | 13 +++ build/partial.rdb |binary inst/ChangeLog | 11 +++ man/admisc-internal.Rd | 3 man/admisc.package.Rd | 17 ++-- man/brackets.Rd | 17 ++-- man/coerceMode.Rd |only man/hclr.Rd |only man/rdaFunctions.Rd | 2 man/using.Rd |only src/admisc.c | 167 +++++++++++++++++++++++++++++++++++++++++++++++++ 67 files changed, 461 insertions(+), 174 deletions(-)
Title: Data from all Seasons of Survivor (US) TV Series in Tidy Format
Description: Several datasets which detail the results and events of each season of Survivor. This includes
details on the cast, voting history, immunity and reward challenges, jury votes and viewers. This data is
useful for practicing data wrangling, graph analytics and analysing how each season of Survivor played out.
Includes 'ggplot2' scales and colour palettes for visualisation.
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>
Diff between survivoR versions 0.9.6 dated 2021-11-26 and 0.9.9 dated 2022-01-08
DESCRIPTION | 6 MD5 | 45 ++-- NEWS.md | 10 R/datasets.R | 134 ++++++++++++ README.md | 382 +++++++++++++++++++++++-------------- data/castaway_details.rda |only data/castaways.rda |binary data/challenge_description.rda |only data/challenge_results.rda |only data/challenges.rda |binary data/confessionals.rda |binary data/jury-votes.rda |binary data/season-palettes.rda |binary data/season-summary.rda |binary data/tribe-colours.rda |binary data/tribe-mapping.rda |binary data/viewers.rda |binary data/vote-history.rda |binary man/castaway_details.Rd |only man/castaways.Rd | 4 man/challenge_description.Rd |only man/challenge_results.Rd |only man/challenges.Rd | 5 man/confessionals.Rd | 3 tests/testthat/test-castaways.R | 116 +++++++++++ tests/testthat/test-challenges.R |only tests/testthat/test-vote-history.R | 42 ++-- 27 files changed, 554 insertions(+), 193 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-09-20 0.4
2017-05-21 0.3
2017-05-11 0.2
2017-04-12 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-20 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-03-09 1.2.1
2014-10-02 1.2.0
2013-10-21 1.1
2013-04-02 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-10-11 0.2.0
2019-10-16 0.1.1