Title: Lab for Developing and Testing Recommender Algorithms
Description: Provides a research infrastructure to test and develop
recommender algorithms including UBCF, IBCF, FunkSVD and association
rule-based algorithms.
Author: Michael Hahsler [aut, cre, cph],
Bregt Vereet [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Diff between recommenderlab versions 0.2-6 dated 2020-06-17 and 0.2-7 dated 2021-02-26
DESCRIPTION | 10 +++--- MD5 | 44 +++++++++++++-------------- NAMESPACE | 1 NEWS.md | 16 ++++++++++ R/AllGenerics.R | 3 + R/RECOM_UBCF.R | 42 +++++++++++--------------- R/calcPredictionAccuracy.R | 21 +++++++++---- R/evaluate.R | 8 +++-- R/evaluationResultList.R | 10 +++--- R/evaluationResults.R | 11 +++++- R/plot.R | 43 ++++++++++++++------------- README.md | 9 ++--- build/vignette.rds |binary data/MovieLense.rda |binary inst/doc/recommenderlab.R | 62 +++++++++++++++++++-------------------- inst/doc/recommenderlab.Rnw | 29 ++++++++---------- inst/doc/recommenderlab.pdf |binary man/MovieLense.Rd | 9 ++++- man/calcPredictionAccuracy.Rd | 19 ++++++----- man/evaluate.Rd | 54 ++++++++++++++++++++++++--------- man/evaluationResults-class.Rd | 9 +++-- tests/testthat/test-RECOM_UBCF.R | 2 - vignettes/recommenderlab.Rnw | 29 ++++++++---------- 23 files changed, 248 insertions(+), 183 deletions(-)
More information about recommenderlab at CRAN
Permanent link
Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression
model 'broom::tidy()' tibbles. The suite includes functions to group
regression model terms by variable, insert reference and header rows
for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] (<https://orcid.org/0000-0001-7097-700X>),
Daniel D. Sjoberg [aut] (<https://orcid.org/0000-0003-0862-2018>)
Maintainer: Joseph Larmarange <joseph@larmarange.net>
Diff between broom.helpers versions 1.2.0 dated 2021-02-22 and 1.2.1 dated 2021-02-26
DESCRIPTION | 8 MD5 | 42 +-- NEWS.md | 10 R/model_get_n.R | 1 R/model_list_terms_levels.R | 8 R/select_utilities.R | 2 R/tidy_add_term_labels.R | 33 ++ R/tidy_plus_plus.R | 2 inst/doc/tidy.html | 216 +++++++++---------- man/model_list_terms_levels.Rd | 1 man/tidy_plus_plus.Rd | 2 tests/testthat/test-add_coefficients_type.R | 2 tests/testthat/test-add_contrasts.R | 2 tests/testthat/test-add_estimate_to_reference_rows.R | 3 tests/testthat/test-add_n.R | 10 tests/testthat/test-add_term_labels.R | 45 +++ tests/testthat/test-add_variable_labels.R | 2 tests/testthat/test-disambiguate_terms.R | 2 tests/testthat/test-identify_variables.R | 2 tests/testthat/test-model_get_n.R | 6 tests/testthat/test-select_helpers.R | 3 tests/testthat/test-tidy_plus_plus.R | 26 ++ 22 files changed, 284 insertions(+), 144 deletions(-)
Title: Tabulate Descriptive Statistics in Multiple Formats
Description: Creates a table of descriptive statistics
for factor and numeric columns in a data frame. Displays
these by groups, if any. Highly customizable, with support
for 'html' and 'pdf' provided by 'kableExtra'. Respects
original column order, column labels, and factor level order.
See ?tablet.data.frame and vignettes.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Diff between tablet versions 0.2.6 dated 2021-02-21 and 0.2.7 dated 2021-02-26
DESCRIPTION | 6 - MD5 | 8 - R/tablet.R | 2 inst/doc/tablet-introduction-html.html | 188 +++++++++++---------------------- inst/doc/tablet-introduction-pdf.pdf |binary 5 files changed, 71 insertions(+), 133 deletions(-)
Title: Synthetic Control Methods with Micro- And Meso-Level Data
Description: A generalization of the 'Synth' package that is
designed for data at a more granular level (e.g., micro-level).
Provides functions to construct weights (including propensity
score-type weights) and run analyses for synthetic control methods
with micro- and meso-level data; see Robbins, Saunders, and Kilmer
(2017) <doi:10.1080/01621459.2016.1213634> and Robbins and Davenport
(2021) <doi:10.18637/jss.v097.i02>.
Author: Michael Robbins [aut, cre],
Steven Davenport [aut]
Maintainer: Michael Robbins <mrobbins@rand.org>
Diff between microsynth versions 2.0.17 dated 2021-01-12 and 2.0.31 dated 2021-02-26
DESCRIPTION | 8 +- MD5 | 28 ++++----- NEWS.md | 11 +++ R/microsynth-class.R | 8 +- R/microsynth.R | 60 +++++++++++++------- R/plot_microsynth.R | 76 +++++++++++++------------- R/results.r | 34 ++++++----- R/weights.R | 29 +++++---- inst/doc/aggregating_variables_over_time.html | 4 - inst/doc/ensuring_model_feasibility.Rmd | 2 inst/doc/ensuring_model_feasibility.html | 6 +- inst/doc/introduction.html | 4 - man/microsynth.Rd | 14 ++-- man/plot_microsynth.Rd | 2 vignettes/ensuring_model_feasibility.Rmd | 2 15 files changed, 161 insertions(+), 127 deletions(-)
Title: Missing Data Imputation Using Gaussian Copulas
Description: Provides functions to impute missing values using Gaussian
copulas for mixed data types as described by Christoffersen et al.
(2021) <arXiv:2102.02642>. The method is related to Hoff (2007)
<doi:10.1214/07-AOAS107> and Zhao and Udell (2019) <arXiv:1910.12845>
but differs by making a direct approximation of the log marginal likelihood
using an extended version of the Fortran code created by Genz and Bretz
(2002) <doi:10.1198/106186002394> in addition to also support multinomial
variables.
Author: Benjamin Christoffersen [cre, aut]
(<https://orcid.org/0000-0002-7182-1346>),
Alan Genz [cph],
Frank Bretz [cph],
Torsten Hothorn [cph],
R-core [cph],
Ross Ihaka [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>
Diff between mdgc versions 0.1.1 dated 2021-02-17 and 0.1.2 dated 2021-02-26
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++-------- R/mdgc.R | 4 ++-- man/mdgc.Rd | 2 +- man/mdgc_fit.Rd | 2 +- src/RcppExports.cpp | 4 ++-- src/cpp-to-R.cpp | 5 ++++- src/mvt.f | 16 ++++++++++++---- src/openmp-exception_ptr.h | 24 +++++++++++++++++------- 9 files changed, 50 insertions(+), 29 deletions(-)
Title: Historical and Ahistorical Population Projection Matrix Analysis
Description: Creates matrix population models for use in population ecological
analyses. Specializes on the construction of historical matrices,
which are 2d matrices comprising 3 consecutive times of demographic
information. Estimates both raw and function-based forms of
historical and standard ahistorical matrices. It also estimates
function-based age-by-stage matrices. Methodology based on
Ehrlen (2000) <doi:10.1890/0012-9658(2000)081[1675:TDOPPD]2.0.CO;2>.
Author: Richard P. Shefferson [aut, cre]
(<https://orcid.org/0000-0002-5234-3131>),
Johan Ehrlen [aut] (<https://orcid.org/0000-0001-8539-8967>)
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>
Diff between lefko3 versions 3.3.1 dated 2021-02-23 and 3.3.2 dated 2021-02-26
DESCRIPTION | 12 +- MD5 | 38 +++--- NEWS | 10 + R/matrixcreation.R | 12 +- R/modelselection.R | 254 ++++++++++++++++++++++---------------------- R/popchar.R | 38 ++++++ inst/doc/Chapter1.html | 2 inst/doc/Chapter2.Rmd | 10 - inst/doc/Chapter2.html | 10 - inst/doc/Chapter5.Rmd | 12 +- inst/doc/Chapter5.html | 12 +- inst/doc/Chapter6.Rmd | 10 - inst/doc/Chapter6.html | 10 - man/aflefko2.Rd | 4 src/DataManagement.cpp | 165 +++++++++++++++++----------- vignettes/Chapter2.Rmd | 10 - vignettes/Chapter5.Rmd | 12 +- vignettes/Chapter5.Rmd.orig | 2 vignettes/Chapter6.Rmd | 10 - vignettes/Chapter6.Rmd.orig | 2 20 files changed, 358 insertions(+), 277 deletions(-)
Title: Datasets that Support the EDGE Server DIY Logic
Description: Datasets from most recent CCIIO DIY entry
in a tidy format. These support the Centers for Medicare and Medicaid
Services' (CMS) risk adjustment Do-It-Yourself (DIY) process, which allows
health insurance issuers to calculate member risk profiles under the Health
and Human Services-Hierarchical Condition Categories (HHS-HCC) regression
model. This regression model is used to calculate risk adjustment transfers.
Risk adjustment is a selection mitigation program implemented under the
Patient Protection and Affordable Care Act (ACA or Obamacare) in the USA.
Under the ACA, health insurance issuers submit claims data to CMS in order
for CMS to calculate a risk score under the HHS-HCC regression model.
However, CMS does not inform issuers of their average risk score until after
the data submission deadline. These data sets can be used by issuers to
calculate their average risk score mid-year. More information about risk
adjustment and the HHS-HCC model can be found here:
<https://www.cms.gov/mmrr/Articles/A2014/MMRR2014_004_03_a03.html>.
Author: Ethan Brockmann [aut, cre, cph]
Maintainer: Ethan Brockmann <ethanbrockmann@gmail.com>
Diff between edgedata versions 0.1.0 dated 2020-04-24 and 0.2.0 dated 2021-02-26
DESCRIPTION | 15 +--- MD5 | 97 ++++++++++++++++--------------- NAMESPACE | 4 - NEWS.md | 7 +- R/adult_coefs.R | 28 ++------- R/cc_int.R |only R/child_coefs.R | 12 --- R/hcc.R | 12 --- R/infant_coefs.R | 8 -- R/rxc.R | 12 --- README.md | 18 +++++ data/adult_demo.rda |binary data/adult_enroll_dur.rda |binary data/adult_group.rda |binary data/adult_hcc.rda |binary data/adult_interaction.rda |binary data/adult_rxc.rda |binary data/adult_rxc_hcc_inter.rda |binary data/cc_hier.rda |binary data/cc_int_h.rda |only data/cc_int_m.rda |only data/cc_severe.rda |only data/child_demo.rda |binary data/child_group.rda |binary data/child_hcc.rda |binary data/cpt_hcpcs.rda |binary data/hcpcs_rxc.rda |binary data/icd_cc.rda |binary data/infant_demo.rda |binary data/infant_mat_sev.rda |binary data/ndc_rxc.rda |binary data/rxc_hier.rda |binary man/adult_demo.Rd | 88 ++++++++++++++-------------- man/adult_enroll_dur.Rd | 90 ++++++++++++++--------------- man/adult_group.Rd | 112 ++++++++++++++++++------------------ man/adult_hcc.Rd | 112 ++++++++++++++++++------------------ man/adult_interaction.Rd | 112 ++++++++++++++++++------------------ man/adult_rxc.Rd | 106 +++++++++++++++++----------------- man/adult_rxc_hcc_inter.Rd | 132 +++++++++++++++++++++---------------------- man/cc_hier.Rd | 84 +++++++++++++-------------- man/cc_int_h.Rd |only man/cc_int_m.Rd |only man/cc_severe.Rd |only man/child_demo.Rd | 88 ++++++++++++++-------------- man/child_group.Rd | 112 ++++++++++++++++++------------------ man/child_hcc.Rd | 112 ++++++++++++++++++------------------ man/cpt_hcpcs.Rd | 94 +++++++++++++++--------------- man/hcpcs_rxc.Rd | 88 ++++++++++++++-------------- man/icd_cc.Rd | 120 +++++++++++++++++++-------------------- man/infant_demo.Rd | 88 ++++++++++++++-------------- man/infant_mat_sev.Rd | 98 +++++++++++++++---------------- man/ndc_rxc.Rd | 88 ++++++++++++++-------------- man/rxc_hier.Rd | 76 ++++++++++++------------ 53 files changed, 1000 insertions(+), 1013 deletions(-)
Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space
Models
Description: Efficient methods for Bayesian inference of state space models
via particle Markov chain Monte Carlo (MCMC) and MCMC based on parallel
importance sampling type weighted estimators
(Vihola, Helske, and Franks, 2020, <doi:10.1111/sjos.12492>).
Gaussian, Poisson, binomial, negative binomial, and Gamma
observation densities and basic stochastic volatility models
with linear-Gaussian state dynamics,
as well as general non-linear Gaussian models and discretised
diffusion models are supported.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>),
Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>
Diff between bssm versions 1.1.3-1 dated 2021-02-22 and 1.1.3-2 dated 2021-02-26
DESCRIPTION | 10 MD5 | 142 ++--- NEWS | 6 R/RcppExports.R | 76 +- R/approx.R | 2 R/bootstrap_filter.R | 3 R/ekpf_filter.R | 2 R/kfilter.R | 5 R/loglik.R | 3 R/models.R | 12 R/particle_smoother.R | 6 R/post_correction.R | 6 R/run_mcmc.R | 15 R/smoother.R | 6 build/vignette.rds |binary inst/doc/bssm.R | 7 inst/doc/bssm.Rmd | 12 inst/doc/bssm.html | 2 inst/doc/growth_model.R | 8 inst/doc/growth_model.Rmd | 14 inst/doc/growth_model.html | 6 inst/doc/psi_pf.R | 9 inst/doc/psi_pf.Rmd | 11 inst/doc/sde_model.R | 7 inst/doc/sde_model.Rmd | 15 inst/doc/sde_model.html | 2 src/R_approx.cpp | 5 src/R_bootstrap_filter.cpp | 10 src/R_ekf.cpp | 18 src/R_ekpf.cpp | 10 src/R_loglik.cpp | 5 src/R_mcmc.cpp | 183 ++----- src/R_postcorrection.cpp | 36 - src/R_predict.cpp | 15 src/R_predict_past.cpp | 15 src/R_psi.cpp | 5 src/R_sde.cpp | 2 src/R_ukf.cpp | 5 src/RcppExports.cpp | 190 ++----- src/approx_mcmc.cpp | 1148 ++++++++++++++++++++------------------------- src/approx_mcmc.h | 40 - src/conditional_dist.cpp | 4 src/mcmc.cpp | 174 +++--- src/mcmc.h | 26 - src/model_ar1_lg.cpp | 26 - src/model_ar1_lg.h | 5 src/model_ar1_ng.cpp | 26 - src/model_ar1_ng.h | 6 src/model_bsm_lg.cpp | 30 + src/model_bsm_lg.h | 5 src/model_bsm_ng.cpp | 40 + src/model_bsm_ng.h | 6 src/model_ssm_mlg.cpp | 23 src/model_ssm_mlg.h | 19 src/model_ssm_mng.cpp | 16 src/model_ssm_mng.h | 15 src/model_ssm_nlg.cpp | 22 src/model_ssm_nlg.h | 6 src/model_ssm_ulg.cpp | 20 src/model_ssm_ulg.h | 21 src/model_ssm_ung.cpp | 17 src/model_ssm_ung.h | 19 src/model_svm.cpp | 20 src/model_svm.h | 6 src/parset_lg.cpp | 16 src/parset_lg.h | 4 src/parset_ng.cpp | 16 src/parset_ng.h | 4 vignettes/bssm.Rmd | 12 vignettes/growth_model.Rmd | 14 vignettes/psi_pf.Rmd | 11 vignettes/sde_model.Rmd | 15 72 files changed, 1375 insertions(+), 1343 deletions(-)
Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data.
Several methods are based on the use of a spatial weighting matrix and its
eigenvector decomposition (Moran's Eigenvectors Maps, MEM).
Several approaches are described in the review Dray et al (2012)
<doi:10.1890/11-1183.1>.
Author: Stéphane Dray, David Bauman, Guillaume Blanchet, Daniel Borcard,
Sylvie Clappe, Guillaume Guenard, Thibaut Jombart, Guillaume Larocque,
Pierre Legendre, Naima Madi, Helene H Wagner
Maintainer: Stéphane Dray <stephane.dray@univ-lyon1.fr>
Diff between adespatial versions 0.3-10 dated 2021-02-09 and 0.3-13 dated 2021-02-26
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ build/vignette.rds |binary inst/doc/tutorial.html | 4 ++-- src/constr.hclust.c | 6 +++--- src/constr.hclust.h | 6 +++--- src/init.c | 2 +- 7 files changed, 19 insertions(+), 19 deletions(-)
Title: Spatial Analysis of Field Trials with Splines
Description: Analysis of field trial experiments by modelling spatial trends using two-dimensional Penalised spline (P-spline) models.
Author: Maria Xose Rodriguez-Alvarez [aut, cre],
Martin Boer [aut],
Paul Eilers [aut],
Fred van Eeuwijk [ctb]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@bcamath.org>
Diff between SpATS versions 1.0-11 dated 2020-02-02 and 1.0-12 dated 2021-02-26
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- NEWS | 8 ++++++-- R/SpATS.R | 2 +- R/construct.henderson.matrix.R | 8 ++++---- R/controlSpATS.R | 5 +++-- R/predict.SpATS.R | 6 +++++- man/SpATS-package.Rd | 4 ++-- man/SpATS.Rd | 2 +- man/controlSpATS.Rd | 6 ++++-- 10 files changed, 39 insertions(+), 28 deletions(-)
Title: Decision Analysis Modelling Package with Parameters Estimation
Ability from Individual Patient Level Data
Description: A collection of functions to construct Markov model for model-based
cost-effectiveness analysis. This includes creating Markov model (both time
homogenous and time dependent models), decision analysis, sensitivity
analysis (deterministic and probabilistic). The package allows estimation
of parameters for the Markov model from a given individual patient level
data, provided the data file follows some standard data entry rules.
Author: Sheeja Manchira Krishnan [aut, cre]
Maintainer: Sheeja Manchira Krishnan <sheejamk@gmail.com>
Diff between packDAMipd versions 0.2.0 dated 2021-02-19 and 0.2.1 dated 2021-02-26
DESCRIPTION | 17 +-- MD5 | 38 ++++---- R/3a_trialdata_analysis_input_functions.R | 28 ++++-- R/3b_outcome_analysis_functions.R | 34 +++---- R/3c_costing_medication_functions.R | 2 R/3d_decision_analysis_functions.R | 2 R/help_cost_analysis_functions.R | 16 +-- R/help_parameter_estimation_functions.R | 4 R/help_parameter_estimation_survival.R | 4 README.md | 2 inst/doc/Deterministic_sensitivity_analysis.html | 4 inst/doc/Probabilstic_sensitivity_analysis.html | 40 ++++---- inst/doc/Sick_sicker_age_dependent.html | 4 inst/doc/Simple_sick_sicker.html | 4 inst/doc/cycle_dependent.html | 4 man/get_eq5d_details.Rd | 2 tests/testthat/test-3a_trialdata_analysis_input_functions.R | 8 + tests/testthat/test-3b_outcome_analysis_functions.R | 14 +-- tests/testthat/test-3c_costing_medication_functions.R | 55 ++++++------ tests/testthat/test-help_parameter_estimation_functions.R | 20 ++-- 20 files changed, 161 insertions(+), 141 deletions(-)
Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.
Author: Mohamed Soudy [aut, cre],
Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>
Diff between UniprotR versions 2.0.3 dated 2021-01-23 and 2.0.4 dated 2021-02-26
DESCRIPTION | 6 ++--- MD5 | 4 +-- R/PathwayAnalysis.R | 54 ++++++++++++++++++++++++++++------------------------ 3 files changed, 35 insertions(+), 29 deletions(-)
Title: Data Quality in Epidemiological Research
Description: A set of functions to assess data quality issues in
studies. See 'TMF' <https://www.tmf-ev.de/EnglishSite/Home.aspx>
guideline and 'DFG' <https://www.dfg.de/en/index.jsp> project at
<https://dfg-qa.ship-med.uni-greifswald.de>.
Author: University Medicine Greifswald [cph],
Adrian Richter [aut],
Carsten Oliver Schmidt [aut],
Stephan Struckmann [aut, cre]
Maintainer: Stephan Struckmann <stephan.struckmann@uni-greifswald.de>
Diff between dataquieR versions 1.0.4 dated 2021-02-02 and 1.0.5 dated 2021-02-26
DESCRIPTION | 27 +++++---- LICENSE |only MD5 | 21 +++---- NEWS.md | 7 ++ R/com_item_missingness.R | 10 +-- R/con_contradictions.R | 3 - R/con_inadmissible_categorical.R | 3 - README.md | 59 +++++++++++++++++++-- inst/doc/DQ-report-example.html | 53 +++++++++--------- man/com_item_missingness.Rd | 10 +-- man/con_contradictions.Rd | 3 - tests/testthat/test-con_inadmissible_categorical.R | 15 +++++ 12 files changed, 147 insertions(+), 64 deletions(-)
Title: Set Operation
Description: More easy to get intersection, union or complementary set and
combinations.
Author: Zhi Jin, Jing Zhang
Maintainer: Zhi Jin <nalanchongxuan@163.com>
Diff between set versions 1.1 dated 2020-02-22 and 1.2 dated 2021-02-26
set-1.1/set/R/a_and.R |only set-1.1/set/R/a_not.R |only set-1.1/set/R/a_or.R |only set-1.1/set/R/grepes_and.R |only set-1.1/set/R/grepes_not.R |only set-1.1/set/R/grepes_or.R |only set-1.1/set/R/is.sub.R |only set-1.1/set/R/toVector.R |only set-1.1/set/man/and2.Rd |only set-1.1/set/man/is.sub.Rd |only set-1.1/set/man/not2.Rd |only set-1.1/set/man/or2.Rd |only set-1.1/set/man/toVector.Rd |only set-1.2/set/DESCRIPTION | 11 ++++++----- set-1.2/set/MD5 | 30 ++++++++++++------------------ set-1.2/set/NAMESPACE | 37 +++++++++++++++++-------------------- set-1.2/set/R/and.R |only set-1.2/set/R/grep.R |only set-1.2/set/R/grepl_not_and_or.R |only set-1.2/set/R/not.R |only set-1.2/set/R/or.R |only set-1.2/set/man/and.Rd | 16 ++++++++++++++-- set-1.2/set/man/grep.Rd |only set-1.2/set/man/grepl.Rd |only set-1.2/set/man/not.Rd | 19 ++++++++++++++++--- set-1.2/set/man/or.Rd | 16 ++++++++++++++-- 26 files changed, 79 insertions(+), 50 deletions(-)
Title: Fast Wild Cluster Bootstrap Inference for Linear Regression
Models
Description: Implementation of the fast algorithm for wild cluster bootstrap
inference developed in Roodman et al (2019, STATA Journal) for
linear regression models
<https://journals.sagepub.com/doi/full/10.1177/1536867X19830877>,
which makes it feasible to quickly calculate bootstrap test
statistics based on a large number of bootstrap draws even for
large samples - as long as the number of bootstrapping clusters
is not too large. Multiway clustering, regression weights,
bootstrap weights, fixed effects and subcluster bootstrapping
are supported. Further, both restricted (WCR) and unrestricted
(WCU) bootstrap are supported. Methods are provided for a variety
of fitted models, including 'lm()', 'feols()'
(from package 'fixest') and 'felm()' (from package 'lfe').
Author: Alexander Fischer [aut, cre],
David Roodman [aut],
Achim Zeileis [ctb] (Author of included sandwich fragments),
Nathaniel Graham [ctb] (Contributor to included sandwich fragments),
Susanne Koell [ctb] (Contributor to included sandwich fragments),
Laurent Berge [ctb] (Author of included fixest fragments),
Sebastian Krantz [ctb]
Maintainer: Alexander Fischer <alexander-fischer1801@t-online.de>
Diff between fwildclusterboot versions 0.3.1 dated 2021-02-16 and 0.3.2 dated 2021-02-26
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NEWS.md | 8 +++++++- README.md | 10 +++++++--- build/vignette.rds |binary inst/doc/fwildclusterboot.html | 30 +++++++++++++++--------------- inst/tinytest/test_nthreads.R | 31 +++++++++++++++++++++++++++---- 7 files changed, 66 insertions(+), 33 deletions(-)
More information about fwildclusterboot at CRAN
Permanent link
Title: Nested and Crossed Block Designs for Factorial and Unstructured
Treatment Sets
Description: Constructs treatment and block designs for linear treatment models
with crossed or nested block factors. The treatment design can be any feasible
linear model and the block design can be any feasible combination of crossed or
nested block factors. The block design is a sum of one or more block factors
and the block design is optimized sequentially with the levels of each successive
block factor optimized conditional on all previously optimized block factors.
D-optimality is used throughout except for square or rectangular lattice block designs
which are constructed algebraically using mutually orthogonal Latin squares.
Crossed block designs with interaction effects are optimized using a weighting scheme
which allows for differential weighting of first and second-order block effects.
Outputs include a table showing the allocation of treatments to blocks and tables showing
the achieved D-efficiency factors for each block and treatment design.
Edmondson, R.N. Multi-level Block Designs for Comparative Experiments.
JABES 25, 500–522 (2020) <doi:10.1007/s13253-020-00416-0>.
Author: R. N. Edmondson.
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>
Diff between blocksdesign versions 4.7 dated 2021-01-12 and 4.8 dated 2021-02-26
DESCRIPTION | 12 MD5 | 18 NAMESPACE | 2 R/blocks.R | 3 R/blocksdesign-package.R | 118 ++-- R/design.R | 1119 ++++++++++++++++++++++++++-------------------- R/nestedBlocks.R | 3 build/vignette.rds |binary inst/doc/blocksdesign.pdf |binary man/design.Rd | 148 ++---- 10 files changed, 797 insertions(+), 626 deletions(-)
Title: Mixed-Effect Models, Particularly Spatial Models
Description: Inference based on mixed-effect models, including generalized linear mixed models with spatial correlations, multivariate responses, and models with non-Gaussian random effects (e.g., Beta). Various approximations of likelihood or restricted likelihood are implemented, in particular Laplace approximation and h-likelihood (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>). Both classical geostatistical models, and Markov random field models on irregular grids (as considered in the 'INLA' package, <https://www.r-inla.org>), can be fitted. Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model.
Author: François Rousset [aut, cre, cph]
(<https://orcid.org/0000-0003-4670-0371>),
Jean-Baptiste Ferdy [aut, cph],
Alexandre Courtiol [aut] (<https://orcid.org/0000-0003-0637-2959>),
GSL authors [ctb] (src/gsl_bessel.*)
Maintainer: François Rousset <francois.rousset@umontpellier.fr>
Diff between spaMM versions 3.6.0 dated 2021-01-15 and 3.7.2 dated 2021-02-26
spaMM-3.6.0/spaMM/tests/testthat/test-IsoriX.R |only spaMM-3.7.2/spaMM/DESCRIPTION | 15 spaMM-3.7.2/spaMM/MD5 | 190 ++- spaMM-3.7.2/spaMM/NAMESPACE | 2 spaMM-3.7.2/spaMM/R/CanonizeRanPars.R | 3 spaMM-3.7.2/spaMM/R/HLCor_body.R | 9 spaMM-3.7.2/spaMM/R/HLFactorList.R | 40 spaMM-3.7.2/spaMM/R/HLfit.R | 65 - spaMM-3.7.2/spaMM/R/HLfit_Internals.R | 459 +++++---- spaMM-3.7.2/spaMM/R/HLfit_body.R | 255 ++--- spaMM-3.7.2/spaMM/R/HLfit_body_augZXy.R | 48 spaMM-3.7.2/spaMM/R/HLframes.R | 181 +-- spaMM-3.7.2/spaMM/R/IRLS_internals.R | 16 spaMM-3.7.2/spaMM/R/LR.R | 49 - spaMM-3.7.2/spaMM/R/LevM_v_h.R | 12 spaMM-3.7.2/spaMM/R/LevM_v_h_spprec.R | 10 spaMM-3.7.2/spaMM/R/LevenbergMstep.R | 2 spaMM-3.7.2/spaMM/R/MakeCovEst.R | 35 spaMM-3.7.2/spaMM/R/RcppExports.R | 52 - spaMM-3.7.2/spaMM/R/augZXy_obj.R |only spaMM-3.7.2/spaMM/R/calc_LRT.R | 20 spaMM-3.7.2/spaMM/R/confint.R | 7 spaMM-3.7.2/spaMM/R/corrHLfit-internals.R | 84 - spaMM-3.7.2/spaMM/R/corrHLfit.R | 2 spaMM-3.7.2/spaMM/R/corrHLfit_body.R | 1 spaMM-3.7.2/spaMM/R/corrPars.R | 2 spaMM-3.7.2/spaMM/R/cov_new_fix.R | 135 ++ spaMM-3.7.2/spaMM/R/determine_spprec.R | 2 spaMM-3.7.2/spaMM/R/extractors.R | 54 - spaMM-3.7.2/spaMM/R/fit_as_ZX.R | 167 +-- spaMM-3.7.2/spaMM/R/fit_as_sparsePrecision.R | 111 +- spaMM-3.7.2/spaMM/R/fitme_body.R | 5 spaMM-3.7.2/spaMM/R/fitme_fitmv_internals.R | 2 spaMM-3.7.2/spaMM/R/fitmecorrHLfit_body_internals.R | 189 ++- spaMM-3.7.2/spaMM/R/fitmv_body.R | 1 spaMM-3.7.2/spaMM/R/geo_info.R | 237 ++-- spaMM-3.7.2/spaMM/R/get_cPredVar.R | 2 spaMM-3.7.2/spaMM/R/get_inits_by_glm.R | 4 spaMM-3.7.2/spaMM/R/hatvalues.R | 1 spaMM-3.7.2/spaMM/R/locoptim.R | 19 spaMM-3.7.2/spaMM/R/multiFRK.R | 4 spaMM-3.7.2/spaMM/R/newPLS.R | 84 - spaMM-3.7.2/spaMM/R/newframe.R |only spaMM-3.7.2/spaMM/R/postfit_internals.R | 35 spaMM-3.7.2/spaMM/R/predict.R | 4 spaMM-3.7.2/spaMM/R/predict_mv.R | 6 spaMM-3.7.2/spaMM/R/preprocess.R | 490 +++------- spaMM-3.7.2/spaMM/R/preprocess_MV.R | 104 +- spaMM-3.7.2/spaMM/R/preprocess_internals.R | 234 ++++ spaMM-3.7.2/spaMM/R/profile.R | 2 spaMM-3.7.2/spaMM/R/sXaug_EigenDense_QRP_Chol_scaled.R | 210 ++-- spaMM-3.7.2/spaMM/R/sXaug_Matrix_QRP_CHM.R | 191 ++- spaMM-3.7.2/spaMM/R/sXaug_sparsePrecisions.R | 207 ++-- spaMM-3.7.2/spaMM/R/safe_opt.R | 54 - spaMM-3.7.2/spaMM/R/separator.R | 1 spaMM-3.7.2/spaMM/R/simulate.HL.R | 11 spaMM-3.7.2/spaMM/R/spaMM.data.R | 22 spaMM-3.7.2/spaMM/R/sparseX.R | 2 spaMM-3.7.2/spaMM/R/step_HLfit.R | 6 spaMM-3.7.2/spaMM/R/summary.HL.R | 4 spaMM-3.7.2/spaMM/R/terms.R | 47 spaMM-3.7.2/spaMM/R/update.HL.R | 51 - spaMM-3.7.2/spaMM/build/partial.rdb |binary spaMM-3.7.2/spaMM/inst/NEWS.Rd | 19 spaMM-3.7.2/spaMM/man/GLM.fit.Rd | 2 spaMM-3.7.2/spaMM/man/Matern.corr.Rd | 9 spaMM-3.7.2/spaMM/man/arabidopsis.Rd | 2 spaMM-3.7.2/spaMM/man/convergence.Rd | 6 spaMM-3.7.2/spaMM/man/eval_replicate.Rd | 2 spaMM-3.7.2/spaMM/man/extractors.Rd | 2 spaMM-3.7.2/spaMM/man/libraries.Rd | 11 spaMM-3.7.2/spaMM/man/summary.HL.Rd | 2 spaMM-3.7.2/spaMM/src/PLS.cpp | 59 + spaMM-3.7.2/spaMM/src/RcppExports.cpp | 152 ++- spaMM-3.7.2/spaMM/src/internals.cpp |only spaMM-3.7.2/spaMM/src/internals.h |only spaMM-3.7.2/spaMM/src/spaMM_linear.cpp | 99 +- spaMM-3.7.2/spaMM/tests/test-all.R | 9 spaMM-3.7.2/spaMM/tests/testthat/nestedFiles/test-mv-nested.R |only spaMM-3.7.2/spaMM/tests/testthat/test-AR1.R | 21 spaMM-3.7.2/spaMM/tests/testthat/test-CAR.R | 6 spaMM-3.7.2/spaMM/tests/testthat/test-COMPoisson.R | 6 spaMM-3.7.2/spaMM/tests/testthat/test-Infusion.R | 4 spaMM-3.7.2/spaMM/tests/testthat/test-IsoriX-new.R |only spaMM-3.7.2/spaMM/tests/testthat/test-LRT-boot.R | 7 spaMM-3.7.2/spaMM/tests/testthat/test-Nugget.R | 5 spaMM-3.7.2/spaMM/tests/testthat/test-Rasch.R | 4 spaMM-3.7.2/spaMM/tests/testthat/test-adjacency-corrMatrix.R | 10 spaMM-3.7.2/spaMM/tests/testthat/test-adjacency-long.R | 5 spaMM-3.7.2/spaMM/tests/testthat/test-cloglog.R | 5 spaMM-3.7.2/spaMM/tests/testthat/test-more-predict.R | 7 spaMM-3.7.2/spaMM/tests/testthat/test-mv.R |only spaMM-3.7.2/spaMM/tests/testthat/test-pedigree.R | 4 spaMM-3.7.2/spaMM/tests/testthat/test-poly.R | 12 spaMM-3.7.2/spaMM/tests/testthat/test-predVar-Matern-corrMatrix.R | 5 spaMM-3.7.2/spaMM/tests/testthat/test-predVar.R | 21 spaMM-3.7.2/spaMM/tests/testthat/test-ranCoefs.R | 5 spaMM-3.7.2/spaMM/tests/testthat/test-random-slope.R | 24 spaMM-3.7.2/spaMM/tests/testthat/test-spaMM.R | 7 spaMM-3.7.2/spaMM/tests/testthat/test-truncated.R | 4 100 files changed, 2791 insertions(+), 2002 deletions(-)
Title: Fitting Discrete Distribution Models to Count Data
Description: Provides functions for fitting discrete distribution models to count data.
Included are the Poisson, the negative binomial, the Poisson-inverse gaussian and, most importantly,
a new implementation of the Poisson-beta distribution (density, distribution and quantile
functions, and random number generator) together with a needed new implementation of
Kummer's function (also: confluent hypergeometric function of the first kind). Three
different implementations of the Gillespie algorithm allow data simulation based on the
basic, switching or bursting mRNA generating processes. Moreover, likelihood functions for
four variants of each of the three aforementioned distributions are also available.
The variants include one population and two population mixtures, both with and without
zero-inflation. The package depends on the 'MPFR' libraries (<https://www.mpfr.org/>) which need to be installed separately
(see description at <https://github.com/fuchslab/scModels>).
This package is supplement to the paper "A mechanistic model for the negative binomial distribution of single-cell mRNA counts"
by Lisa Amrhein, Kumar Harsha and Christiane Fuchs (2019) <doi:10.1101/657619> available on bioRxiv.
Author: Lisa Amrhein [aut, cre],
Kumar Harsha [aut],
Christiane Fuchs [aut],
Pavel Holoborodko [ctb] (Author and copyright holder of 'mpreal.h')
Maintainer: Lisa Amrhein <amrheinlisa@gmail.com>
Diff between scModels versions 1.0.1 dated 2019-09-02 and 1.0.2 dated 2021-02-26
DESCRIPTION | 12 MD5 | 49 NAMESPACE | 84 + NEWS.md | 37 R/RcppExports.R | 105 +- R/gillespie.R | 187 ++- R/log_likelihood.R | 1286 +++++++++++++++---------- R/par_est_fns.R | 655 +++++++----- R/pb.R | 147 +- man/Inverse-Gaussian.Rd |only man/Poisson-beta.Rd | 114 +- man/chf_1F1.Rd | 47 man/fit_params.Rd | 64 - man/gmRNA.Rd | 109 +- man/nlogL.Rd | 303 +++-- src/RcppExports.cpp | 28 src/gillespie.cpp | 166 +++ src/pb.cpp | 7 src/scModels_init.c | 5 tests/testthat.R | 8 tests/testthat/test-NAs.R | 56 - tests/testthat/test-chf_1F1.R | 10 tests/testthat/test-discrete-sum.R | 14 tests/testthat/test-discrete.R | 28 tests/testthat/test-inappropriate-parameters.R | 54 - tests/testthat/test-likelihood.R | 64 - 26 files changed, 2236 insertions(+), 1403 deletions(-)
Title: Make Dealing with Dates a Little Easier
Description: Functions to work with date-times and time-spans:
fast and user friendly parsing of date-time data, extraction and
updating of components of a date-time (years, months, days, hours,
minutes, and seconds), algebraic manipulation on date-time and
time-span objects. The 'lubridate' package has a consistent and
memorable syntax that makes working with dates easy and fun. Parts of
the 'CCTZ' source code, released under the Apache 2.0 License, are
included in this package. See <https://github.com/google/cctz> for
more details.
Author: Vitalie Spinu [aut, cre],
Garrett Grolemund [aut],
Hadley Wickham [aut],
Ian Lyttle [ctb],
Imanuel Costigan [ctb],
Jason Law [ctb],
Doug Mitarotonda [ctb],
Joseph Larmarange [ctb],
Jonathan Boiser [ctb],
Chel Hee Lee [ctb],
Google Inc. [ctb, cph]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>
Diff between lubridate versions 1.7.9.2 dated 2020-11-13 and 1.7.10 dated 2021-02-26
DESCRIPTION | 6 - MD5 | 28 ++--- NEWS.md | 12 ++ R/coercion.r | 20 ++-- R/ops-division.r | 8 - R/parse.r | 175 +++++++++++++++++++------------------ R/zzz.R | 6 - inst/doc/lubridate.html | 19 +++- man/as_date.Rd | 18 ++- man/parse_date_time.Rd | 121 ++++++++++++------------- src/cctz/src/time_zone_libc.cc | 8 + src/tparse.c | 2 src/utils.c | 4 tests/testthat/test-ops-division.R | 10 +- tests/testthat/test-parsers.R | 28 +++++ 15 files changed, 281 insertions(+), 184 deletions(-)
Title: Simulate Admixture of Genomes
Description: Individual-based simulations forward in time,
simulating how patterns in ancestry along the genome change after
admixture. Full description can be found in Janzen (2020)
<doi:10.1101/2020.10.19.343491>.
Author: Thijs Janzen [aut, cre],
Fernando Diaz G. [ctb],
Richèl J.C. Bilderbeek [ctb]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
Diff between GenomeAdmixR versions 1.1.3 dated 2021-01-24 and 2.0.2 dated 2021-02-26
GenomeAdmixR-1.1.3/GenomeAdmixR/R/iso_female.R |only GenomeAdmixR-1.1.3/GenomeAdmixR/R/simulate_admixture_migration.R |only GenomeAdmixR-1.1.3/GenomeAdmixR/R/simulate_admixture_until.R |only GenomeAdmixR-1.1.3/GenomeAdmixR/man/simulate_admixture_migration.Rd |only GenomeAdmixR-1.1.3/GenomeAdmixR/src/random_functions.cpp |only GenomeAdmixR-1.1.3/GenomeAdmixR/tests/testthat/test.pop |only GenomeAdmixR-2.0.2/GenomeAdmixR/DESCRIPTION | 21 GenomeAdmixR-2.0.2/GenomeAdmixR/MD5 | 194 + GenomeAdmixR-2.0.2/GenomeAdmixR/NAMESPACE | 17 GenomeAdmixR-2.0.2/GenomeAdmixR/R/RcppExports.R | 28 GenomeAdmixR-2.0.2/GenomeAdmixR/R/ancestry_module.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/calculate_allele_frequencies.R | 20 GenomeAdmixR-2.0.2/GenomeAdmixR/R/calculate_fst.R | 29 GenomeAdmixR-2.0.2/GenomeAdmixR/R/calculate_heterozygosity.R | 2 GenomeAdmixR-2.0.2/GenomeAdmixR/R/calculate_ld.R | 83 GenomeAdmixR-2.0.2/GenomeAdmixR/R/calculate_marker_frequency.R | 18 GenomeAdmixR-2.0.2/GenomeAdmixR/R/create_input_data.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/create_iso_female.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/create_iso_female_data.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/data.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/joyplot_frequencies.R | 25 GenomeAdmixR-2.0.2/GenomeAdmixR/R/junctions.R | 4 GenomeAdmixR-2.0.2/GenomeAdmixR/R/migration_settings.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/plot_chromosome.R | 25 GenomeAdmixR-2.0.2/GenomeAdmixR/R/plot_difference_frequencies.R | 30 GenomeAdmixR-2.0.2/GenomeAdmixR/R/plot_frequencies.R | 18 GenomeAdmixR-2.0.2/GenomeAdmixR/R/plot_over_time.R | 12 GenomeAdmixR-2.0.2/GenomeAdmixR/R/plot_start_end.R | 40 GenomeAdmixR-2.0.2/GenomeAdmixR/R/sequence_module.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/simulate_admixture.R | 283 +- GenomeAdmixR-2.0.2/GenomeAdmixR/R/simulate_ancestry.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/simulate_ancestry_migration.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/simulate_ancestry_until.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/simulate_sequence.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/simulate_sequence_migration.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/simulate_sequence_until.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/R/utilities.R | 281 ++ GenomeAdmixR-2.0.2/GenomeAdmixR/README.md | 7 GenomeAdmixR-2.0.2/GenomeAdmixR/build/vignette.rds |binary GenomeAdmixR-2.0.2/GenomeAdmixR/data |only GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Demonstrate_isofemales.R | 45 GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Demonstrate_isofemales.Rmd | 45 GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Demonstrate_isofemales.html | 669 +++--- GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Empirical_data.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Empirical_data.Rmd |only GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Empirical_data.html |only GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Joyplots.R | 13 GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Joyplots.Rmd | 16 GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Joyplots.html | 559 +++-- GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Visualization.R | 13 GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Visualization.Rmd | 47 GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Visualization.html | 604 ++++-- GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Walkthrough.R | 129 - GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Walkthrough.Rmd | 131 - GenomeAdmixR-2.0.2/GenomeAdmixR/inst/doc/Walkthrough.html | 976 +++++----- GenomeAdmixR-2.0.2/GenomeAdmixR/man/GenomeAdmixR-package.Rd | 5 GenomeAdmixR-2.0.2/GenomeAdmixR/man/ancestry_module.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/calculate_allele_frequencies.Rd | 11 GenomeAdmixR-2.0.2/GenomeAdmixR/man/calculate_fst.Rd | 9 GenomeAdmixR-2.0.2/GenomeAdmixR/man/calculate_heterozygosity.Rd | 2 GenomeAdmixR-2.0.2/GenomeAdmixR/man/calculate_ld.Rd | 24 GenomeAdmixR-2.0.2/GenomeAdmixR/man/calculate_marker_frequency.Rd | 9 GenomeAdmixR-2.0.2/GenomeAdmixR/man/combine_input_data.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/create_artificial_genomeadmixr_data.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/create_iso_female.Rd | 38 GenomeAdmixR-2.0.2/GenomeAdmixR/man/dgrp2.3R.5k.data.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/iso_female_ancestry.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/iso_female_sequence.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/migration_settings.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/plink_to_genomeadmixr_data.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/plot_chromosome.Rd | 19 GenomeAdmixR-2.0.2/GenomeAdmixR/man/plot_difference_frequencies.Rd | 17 GenomeAdmixR-2.0.2/GenomeAdmixR/man/plot_frequencies.Rd | 8 GenomeAdmixR-2.0.2/GenomeAdmixR/man/plot_joyplot_frequencies.Rd | 13 GenomeAdmixR-2.0.2/GenomeAdmixR/man/plot_over_time.Rd | 10 GenomeAdmixR-2.0.2/GenomeAdmixR/man/plot_start_end.Rd | 11 GenomeAdmixR-2.0.2/GenomeAdmixR/man/print.genomeadmixr_data.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/read_input_data.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/sequence_module.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/simulate_admixture.Rd | 76 GenomeAdmixR-2.0.2/GenomeAdmixR/man/simulate_ancestry.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/simulate_ancestry_migration.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/simulate_sequence.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/simulate_sequence_migration.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/simulation_data_to_genomeadmixr_data.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/vcfR_to_genomeadmixr_data.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/man/write_as_plink.Rd |only GenomeAdmixR-2.0.2/GenomeAdmixR/src/Fish.cpp | 120 - GenomeAdmixR-2.0.2/GenomeAdmixR/src/Fish.h | 4 GenomeAdmixR-2.0.2/GenomeAdmixR/src/Fish_emp.h |only GenomeAdmixR-2.0.2/GenomeAdmixR/src/Makevars | 1 GenomeAdmixR-2.0.2/GenomeAdmixR/src/Makevars.win | 2 GenomeAdmixR-2.0.2/GenomeAdmixR/src/RcppExports.cpp | 113 + GenomeAdmixR-2.0.2/GenomeAdmixR/src/helper_functions.cpp | 750 ++++++- GenomeAdmixR-2.0.2/GenomeAdmixR/src/helper_functions.h | 68 GenomeAdmixR-2.0.2/GenomeAdmixR/src/random_functions.h | 107 + GenomeAdmixR-2.0.2/GenomeAdmixR/src/simulate.cpp | 181 + GenomeAdmixR-2.0.2/GenomeAdmixR/src/simulate_emp.cpp |only GenomeAdmixR-2.0.2/GenomeAdmixR/src/simulate_migration.cpp | 275 ++ GenomeAdmixR-2.0.2/GenomeAdmixR/src/simulate_migration_emp.cpp |only GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/Rplots.pdf |binary GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-LD.R | 85 GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-allele_frequencies.R | 63 GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-combined_input_data.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-fst.R | 43 GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-general_usage.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-isoFemales.R | 95 GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-joyplot.R | 14 GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-junctions.R | 23 GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-plink.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-save_load.R | 18 GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-selection.R | 135 - GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-simulate_admixture.R | 163 - GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-simulate_admixture_data.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-simulate_admixture_migration_data.R |only GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-simulate_admixture_until.R | 86 GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-simulate_migration.R | 151 - GenomeAdmixR-2.0.2/GenomeAdmixR/tests/testthat/test-utilities.R | 62 GenomeAdmixR-2.0.2/GenomeAdmixR/vignettes/Demonstrate_isofemales.Rmd | 45 GenomeAdmixR-2.0.2/GenomeAdmixR/vignettes/Empirical_data.Rmd |only GenomeAdmixR-2.0.2/GenomeAdmixR/vignettes/Joyplots.Rmd | 16 GenomeAdmixR-2.0.2/GenomeAdmixR/vignettes/Visualization.Rmd | 47 GenomeAdmixR-2.0.2/GenomeAdmixR/vignettes/Walkthrough.Rmd | 131 - 123 files changed, 4679 insertions(+), 2755 deletions(-)
Title: Reusable Assisting Functions for Child Mortality Estimation
Description: Provide helper functions for UNICEF child mortality estimation.
Author: Yang Liu [aut, cre] (<https://orcid.org/0000-0001-6557-6439>)
Maintainer: Yang Liu <lyhello@gmail.com>
Diff between CME.assistant versions 1.1.1 dated 2020-12-15 and 1.1.3 dated 2021-02-26
CME.assistant-1.1.1/CME.assistant/data/default_label_1.rda |only CME.assistant-1.1.1/CME.assistant/man/default_label_1.Rd |only CME.assistant-1.1.1/CME.assistant/man/fc.Rd |only CME.assistant-1.1.3/CME.assistant/DESCRIPTION | 9 CME.assistant-1.1.3/CME.assistant/MD5 | 77 +- CME.assistant-1.1.3/CME.assistant/NAMESPACE | 6 CME.assistant-1.1.3/CME.assistant/R/0.directories.R |only CME.assistant-1.1.3/CME.assistant/R/1.data_engineering.R | 121 +++ CME.assistant-1.1.3/CME.assistant/R/2.plots.R | 9 CME.assistant-1.1.3/CME.assistant/R/3.data_subset_dataset.R | 379 ---------- CME.assistant-1.1.3/CME.assistant/R/misc.R | 2 CME.assistant-1.1.3/CME.assistant/R/mydata.R | 8 CME.assistant-1.1.3/CME.assistant/README.md | 15 CME.assistant-1.1.3/CME.assistant/data/default_label.rda |only CME.assistant-1.1.3/CME.assistant/data/shortind_indicator.rda |only CME.assistant-1.1.3/CME.assistant/inst/doc/CMEvignette1.R | 10 CME.assistant-1.1.3/CME.assistant/inst/doc/CMEvignette1.Rmd | 13 CME.assistant-1.1.3/CME.assistant/inst/doc/CMEvignette1.html | 47 - CME.assistant-1.1.3/CME.assistant/man/add.new.series.imr.Rd | 2 CME.assistant-1.1.3/CME.assistant/man/add.new.series.nmr.Rd | 5 CME.assistant-1.1.3/CME.assistant/man/add.new.series.u5mr.Rd | 2 CME.assistant-1.1.3/CME.assistant/man/default_label.Rd |only CME.assistant-1.1.3/CME.assistant/man/find_latest_date.Rd | 32 CME.assistant-1.1.3/CME.assistant/man/get.IGME.dir.Rd | 36 CME.assistant-1.1.3/CME.assistant/man/get.IGMEfig.dir.Rd | 38 - CME.assistant-1.1.3/CME.assistant/man/get.IGMEinput.dir.Rd | 36 CME.assistant-1.1.3/CME.assistant/man/get.IGMEoutput.dir.Rd | 38 - CME.assistant-1.1.3/CME.assistant/man/get.country.info.Rd | 2 CME.assistant-1.1.3/CME.assistant/man/get.dir_IMR.Rd | 36 CME.assistant-1.1.3/CME.assistant/man/get.dir_NMR.Rd | 36 CME.assistant-1.1.3/CME.assistant/man/get.dir_U5MR.Rd | 38 - CME.assistant-1.1.3/CME.assistant/man/get.dir_gender.Rd | 40 - CME.assistant-1.1.3/CME.assistant/man/get.file.name.Rd | 48 - CME.assistant-1.1.3/CME.assistant/man/get.max.date.Rd | 38 - CME.assistant-1.1.3/CME.assistant/man/get.opt.dir.Rd | 52 - CME.assistant-1.1.3/CME.assistant/man/get.raw.dir.Rd | 52 - CME.assistant-1.1.3/CME.assistant/man/get.ref.date.Rd | 46 - CME.assistant-1.1.3/CME.assistant/man/leap_year.Rd |only CME.assistant-1.1.3/CME.assistant/man/load.IGMEinput.dir.Rd | 30 CME.assistant-1.1.3/CME.assistant/man/load.IGMEoutput.dir.Rd | 30 CME.assistant-1.1.3/CME.assistant/man/read.country.summary.Rd |only CME.assistant-1.1.3/CME.assistant/man/read.region.summary.Rd |only CME.assistant-1.1.3/CME.assistant/man/revise.path.Rd | 32 CME.assistant-1.1.3/CME.assistant/man/shortind_indicator.Rd |only CME.assistant-1.1.3/CME.assistant/vignettes/CMEvignette1.Rmd | 13 45 files changed, 608 insertions(+), 770 deletions(-)
Title: Within Outlying Mean Indexes: Refining the OMI Analysis
Description: Complementary indexes calculation to the Outlying Mean Index analysis to explore niche shift of a community and biological constraint within an Euclidean space, with graphical displays. For details see Karasiewicz et al. (2017) <doi:10.7717/Peerj.3364>.
Author: Stephane Karasiewicz [aut, cre]
(<https://orcid.org/0000-0003-1652-9921>)
Maintainer: Stephane Karasiewicz <skaraz.science@gmail.com>
Diff between subniche versions 1.3 dated 2020-06-23 and 1.4 dated 2021-02-26
subniche-1.3/subniche/R/margvect.R |only subniche-1.3/subniche/man/margvect.Rd |only subniche-1.4/subniche/DESCRIPTION | 18 +- subniche-1.4/subniche/MD5 | 49 +++--- subniche-1.4/subniche/NAMESPACE | 5 subniche-1.4/subniche/R/data.R | 8 - subniche-1.4/subniche/R/eigenbar.R |only subniche-1.4/subniche/R/plot.subniche.R | 223 +++++++++++++++-------------- subniche-1.4/subniche/R/plot_NR.R |only subniche-1.4/subniche/R/plot_NR_sp.R |only subniche-1.4/subniche/R/plot_dym.R | 23 ++ subniche-1.4/subniche/R/plot_dym_sp.R | 2 subniche-1.4/subniche/R/subarea.R | 12 + subniche-1.4/subniche/R/subniche.R | 9 - subniche-1.4/subniche/R/subplot.R | 22 +- subniche-1.4/subniche/R/subplot_K.R |only subniche-1.4/subniche/R/subplot_sp.R | 2 subniche-1.4/subniche/build |only subniche-1.4/subniche/man/ardecheinv.Rd | 4 subniche-1.4/subniche/man/drome.Rd | 4 subniche-1.4/subniche/man/eigenbar.Rd |only subniche-1.4/subniche/man/plot.subniche.Rd | 72 +++------ subniche-1.4/subniche/man/plot_NR.Rd |only subniche-1.4/subniche/man/plot_NR_sp.Rd |only subniche-1.4/subniche/man/plot_dym.Rd | 18 +- subniche-1.4/subniche/man/plot_dym_sp.Rd | 2 subniche-1.4/subniche/man/subarea.Rd | 7 subniche-1.4/subniche/man/subniche.Rd | 7 subniche-1.4/subniche/man/subplot.Rd | 13 + subniche-1.4/subniche/man/subplot_K.Rd |only subniche-1.4/subniche/man/subplot_sp.Rd | 2 31 files changed, 273 insertions(+), 229 deletions(-)
Title: Growth Charts via Smooth Regression Quantiles with Automatic
Smoothness Estimation and Additive Terms
Description: Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms via B-splines with L1-norm difference penalties. The smoothing parameters are estimated as part of the model fitting. Monotonicity and concavity constraints on the fitted curves are allowed. See Muggeo, Sciandra, Tomasello and Calvo (2013) <doi:10.1007/s10651-012-0232-1> and <doi:10.13140/RG.2.2.12924.85122> for some code examples.
Smoothing parameter selection with additive terms is discussed in Muggeo and others (2020) <doi:10.1177/1471082X20929802>.
Author: Vito M. R. Muggeo [aut, cre] (<https://orcid.org/0000-0002-3386-4054>)
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>
Diff between quantregGrowth versions 0.4-3 dated 2018-09-20 and 1.0-0 dated 2021-02-26
quantregGrowth-0.4-3/quantregGrowth/R/gcrq.R |only quantregGrowth-0.4-3/quantregGrowth/R/ncross.rq.fitXB.R |only quantregGrowth-1.0-0/quantregGrowth/DESCRIPTION | 14 quantregGrowth-1.0-0/quantregGrowth/MD5 | 46 - quantregGrowth-1.0-0/quantregGrowth/NAMESPACE | 7 quantregGrowth-1.0-0/quantregGrowth/NEWS | 30 quantregGrowth-1.0-0/quantregGrowth/R/gcrq.r |only quantregGrowth-1.0-0/quantregGrowth/R/gcrq.rq.cv.R | 42 - quantregGrowth-1.0-0/quantregGrowth/R/ncross.rq.fitX.R | 17 quantregGrowth-1.0-0/quantregGrowth/R/ncross.rq.fitXB.r |only quantregGrowth-1.0-0/quantregGrowth/R/plot.gcrq.R | 343 ++++++---- quantregGrowth-1.0-0/quantregGrowth/R/predict.gcrq.R | 49 + quantregGrowth-1.0-0/quantregGrowth/R/print.gcrq.R | 38 - quantregGrowth-1.0-0/quantregGrowth/R/ps.R | 70 +- quantregGrowth-1.0-0/quantregGrowth/R/summary.gcrq.R | 34 quantregGrowth-1.0-0/quantregGrowth/R/vcov.gcrq.r | 50 + quantregGrowth-1.0-0/quantregGrowth/inst/CITATION | 14 quantregGrowth-1.0-0/quantregGrowth/man/gcrq.Rd | 184 +++-- quantregGrowth-1.0-0/quantregGrowth/man/ncross.rq.fitXB.Rd | 70 +- quantregGrowth-1.0-0/quantregGrowth/man/plot.gcrq.Rd | 58 + quantregGrowth-1.0-0/quantregGrowth/man/predict.gcrq.Rd | 11 quantregGrowth-1.0-0/quantregGrowth/man/print.gcrq.Rd | 2 quantregGrowth-1.0-0/quantregGrowth/man/ps.Rd | 71 +- quantregGrowth-1.0-0/quantregGrowth/man/quantregGrowth-package.Rd | 14 quantregGrowth-1.0-0/quantregGrowth/man/summary.gcrq.Rd | 9 quantregGrowth-1.0-0/quantregGrowth/man/vcov.gcrq.Rd | 9 26 files changed, 808 insertions(+), 374 deletions(-)
More information about quantregGrowth at CRAN
Permanent link
Title: Nonnegative Integer Solutions of Linear Diophantine Equations
with Applications
Description: Routines for enumerating all existing nonnegative integer solutions of a linear Diophantine equation. The package provides routines for solving 0-1, bounded and unbounded knapsack problems; 0-1, bounded and unbounded subset sum problems; additive partitioning of natural numbers; and one-dimensional bin-packing problem.
Author: Natalya Pya Arnqvist[aut, cre],
Vassilly Voinov [aut],
Rashid Makarov [aut],
Yevgeniy Voinov [aut]
Maintainer: Natalya Pya Arnqvist <nat.pya@gmail.com>
Diff between nilde versions 1.1-3 dated 2019-09-02 and 1.1-4 dated 2021-02-26
ChangeLog |only DESCRIPTION | 9 +++++---- MD5 | 29 ++++++++++++++++------------- NAMESPACE | 3 +++ R/knap.r | 12 ++++++++---- R/nlde.R | 8 +++++--- R/subsetsum.r | 6 +++--- R/tsp_solving.r |only build/partial.rdb |binary man/bin.packing.Rd | 5 ++--- man/get.knapsack.Rd | 7 +++---- man/get.partitions.Rd | 2 +- man/get.subsetsum.Rd | 2 +- man/nilde-package.Rd | 10 ++++++---- man/nlde.Rd | 2 +- man/print.partitions.Rd | 4 +++- man/tsp_solver.Rd |only 17 files changed, 57 insertions(+), 42 deletions(-)
Title: Interface to the 'Microsoft 365' Suite of Cloud Services
Description: An interface to the 'Microsoft 365' (formerly known as 'Office 365') suite of cloud services, building on the framework supplied by the 'AzureGraph' package. Enables access from R to data stored in 'Teams', 'SharePoint Online' and 'OneDrive', including the ability to list drive folder contents, upload and download files, send messages, and retrieve data lists.
Author: Hong Ooi [aut, cre],
Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>
Diff between Microsoft365R versions 1.0.0 dated 2021-01-27 and 2.0.0 dated 2021-02-26
Microsoft365R-1.0.0/Microsoft365R/R/ms_sharepoint_list.R |only Microsoft365R-1.0.0/Microsoft365R/inst/doc/Microsoft365R.Rmd |only Microsoft365R-1.0.0/Microsoft365R/inst/doc/Microsoft365R.html |only Microsoft365R-1.0.0/Microsoft365R/man/get_sharepoint_site.Rd |only Microsoft365R-1.0.0/Microsoft365R/vignettes/Microsoft365R.Rmd |only Microsoft365R-2.0.0/Microsoft365R/DESCRIPTION | 12 Microsoft365R-2.0.0/Microsoft365R/MD5 | 71 ++- Microsoft365R-2.0.0/Microsoft365R/NAMESPACE | 9 Microsoft365R-2.0.0/Microsoft365R/NEWS.md |only Microsoft365R-2.0.0/Microsoft365R/R/Microsoft365R.R | 13 Microsoft365R-2.0.0/Microsoft365R/R/add_methods.R | 86 +++- Microsoft365R-2.0.0/Microsoft365R/R/client.R | 180 +++++++-- Microsoft365R-2.0.0/Microsoft365R/R/client_deprecated.R |only Microsoft365R-2.0.0/Microsoft365R/R/ms_channel.R |only Microsoft365R-2.0.0/Microsoft365R/R/ms_chat_message.R |only Microsoft365R-2.0.0/Microsoft365R/R/ms_drive.R | 137 +----- Microsoft365R-2.0.0/Microsoft365R/R/ms_drive_item.R | 199 +++++++++- Microsoft365R-2.0.0/Microsoft365R/R/ms_list.R |only Microsoft365R-2.0.0/Microsoft365R/R/ms_list_item.R | 29 - Microsoft365R-2.0.0/Microsoft365R/R/ms_site.R | 23 - Microsoft365R-2.0.0/Microsoft365R/R/ms_team.R |only Microsoft365R-2.0.0/Microsoft365R/README.md | 110 ++--- Microsoft365R-2.0.0/Microsoft365R/build/vignette.rds |binary Microsoft365R-2.0.0/Microsoft365R/inst/app_registration.md |only Microsoft365R-2.0.0/Microsoft365R/inst/doc/auth.Rmd |only Microsoft365R-2.0.0/Microsoft365R/inst/doc/auth.html |only Microsoft365R-2.0.0/Microsoft365R/inst/doc/od_sp.Rmd |only Microsoft365R-2.0.0/Microsoft365R/inst/doc/od_sp.html |only Microsoft365R-2.0.0/Microsoft365R/inst/doc/teams.Rmd |only Microsoft365R-2.0.0/Microsoft365R/inst/doc/teams.html |only Microsoft365R-2.0.0/Microsoft365R/man/Microsoft365R-deprecated.Rd |only Microsoft365R-2.0.0/Microsoft365R/man/add_methods.Rd |only Microsoft365R-2.0.0/Microsoft365R/man/client.Rd | 122 ++++-- Microsoft365R-2.0.0/Microsoft365R/man/ms_channel.Rd |only Microsoft365R-2.0.0/Microsoft365R/man/ms_chat_message.Rd |only Microsoft365R-2.0.0/Microsoft365R/man/ms_drive.Rd | 44 -- Microsoft365R-2.0.0/Microsoft365R/man/ms_drive_item.Rd | 58 ++ Microsoft365R-2.0.0/Microsoft365R/man/ms_list.Rd | 18 Microsoft365R-2.0.0/Microsoft365R/man/ms_list_item.Rd | 6 Microsoft365R-2.0.0/Microsoft365R/man/ms_site.Rd | 7 Microsoft365R-2.0.0/Microsoft365R/man/ms_team.Rd |only Microsoft365R-2.0.0/Microsoft365R/tests/resources/logo_small.jpg |only Microsoft365R-2.0.0/Microsoft365R/tests/testthat/setup.R | 3 Microsoft365R-2.0.0/Microsoft365R/tests/testthat/test01_onedrive.R | 87 ++++ Microsoft365R-2.0.0/Microsoft365R/tests/testthat/test02_business_onedrive.R | 89 ++++ Microsoft365R-2.0.0/Microsoft365R/tests/testthat/test03_sharepoint.R | 49 +- Microsoft365R-2.0.0/Microsoft365R/tests/testthat/test04_teams.R |only Microsoft365R-2.0.0/Microsoft365R/tests/testthat/test04a_channel.R |only Microsoft365R-2.0.0/Microsoft365R/vignettes/auth.Rmd |only Microsoft365R-2.0.0/Microsoft365R/vignettes/od_sp.Rmd |only Microsoft365R-2.0.0/Microsoft365R/vignettes/teams.Rmd |only 51 files changed, 946 insertions(+), 406 deletions(-)
Title: Longitudinal Concordance Correlation
Description: Estimates the longitudinal concordance correlation to access the longitudinal agreement profile. The estimation approach implemented is variance components approach based on polynomial mixed effects regression model, as proposed by Oliveira, Hinde and Zocchi (2018) <doi:10.1007/s13253-018-0321-1>. In addition, non-parametric confidence intervals were implemented using percentile method or normal-approximation based on Fisher Z-transformation.
Author: Thiago de Paula Oliveira [aut, cre]
(<https://orcid.org/0000-0002-4555-2584>),
Rafael de Andrade Moral [aut] (<https://orcid.org/0000-0002-0875-3563>),
Silvio Sandoval Zocchi [ctb] (<https://orcid.org/0000-0003-2535-908X>),
Clarice Garcia Borges Demetrio [ctb]
(<https://orcid.org/0000-0002-3609-178X>),
John Hinde [aut] (<https://orcid.org/0000-0001-6507-5204>)
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@alumni.usp.br>
Diff between lcc versions 1.1.1 dated 2020-09-13 and 1.1.2 dated 2021-02-26
DESCRIPTION | 34 ++++++++++++++++++++++++---------- MD5 | 5 +++-- R/lcc.R | 4 ++++ inst |only 4 files changed, 31 insertions(+), 12 deletions(-)
Title: The Gaussian Covariate Method for Variable Selection
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the only parameter is a specified cut-off P-value which can be interpreted as the probability of a false positive being included in the final selection. For more information see the website below and the accompanying papers: L. Davies and L. Duembgen, "Covariate Selection Based on a Model-free Approach to Linear Regression with Exact Probabilities", 2020, <arXiv:1906.01990>. L. Davies, "Lasso, Knockoff and Gaussian covariates: A comparison", 2018, <arXiv:1807.09633>.
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <laurie.davies@uni-due.de>
Diff between gausscov versions 0.0.12 dated 2021-01-27 and 0.0.13 dated 2021-02-26
gausscov-0.0.12/gausscov/data/dentx.rda |only gausscov-0.0.12/gausscov/data/denty.rda |only gausscov-0.0.12/gausscov/man/dentx.Rd |only gausscov-0.0.12/gausscov/man/denty.Rd |only gausscov-0.0.13/gausscov/DESCRIPTION | 8 gausscov-0.0.13/gausscov/MD5 | 60 ++--- gausscov-0.0.13/gausscov/R/decode.R | 28 +- gausscov-0.0.13/gausscov/R/decomp.R | 8 gausscov-0.0.13/gausscov/R/f1st.R | 47 ++-- gausscov-0.0.13/gausscov/R/f2st.R | 38 +-- gausscov-0.0.13/gausscov/R/fgeninter.R | 12 - gausscov-0.0.13/gausscov/R/fgentrig.R | 4 gausscov-0.0.13/gausscov/R/fgr1st.R | 13 - gausscov-0.0.13/gausscov/R/fgr2st.R | 12 - gausscov-0.0.13/gausscov/R/fmch.R | 45 ++- gausscov-0.0.13/gausscov/R/fpval.R | 16 - gausscov-0.0.13/gausscov/R/frmch.R | 3 gausscov-0.0.13/gausscov/R/frobreg.R | 12 - gausscov-0.0.13/gausscov/R/frobregp.R | 23 + gausscov-0.0.13/gausscov/R/frst.R | 32 +- gausscov-0.0.13/gausscov/R/fselect.R | 10 gausscov-0.0.13/gausscov/R/fsimords.R | 12 - gausscov-0.0.13/gausscov/man/decode.Rd | 12 - gausscov-0.0.13/gausscov/man/decomp.Rd | 2 gausscov-0.0.13/gausscov/man/f1st.Rd | 7 gausscov-0.0.13/gausscov/man/f2st.Rd | 9 gausscov-0.0.13/gausscov/man/fgeninter.Rd | 4 gausscov-0.0.13/gausscov/man/fgr1st.Rd | 6 gausscov-0.0.13/gausscov/man/fgr2st.Rd | 6 gausscov-0.0.13/gausscov/man/fmch.Rd | 7 gausscov-0.0.13/gausscov/man/frst.Rd | 2 gausscov-0.0.13/gausscov/man/fselect.Rd | 8 gausscov-0.0.13/gausscov/src/gaucov.f | 349 ++++++++++++++++++++++++++---- 33 files changed, 550 insertions(+), 245 deletions(-)
Title: Ternary Plots for Trinomial Regression Models
Description: An implementation of the ternary plot for interpreting regression
coefficients of trinomial regression models, as proposed in Santi, Dickson
and Espa (2019) <doi:10.1080/00031305.2018.1442368>. Ternary plots can be
drawn using either 'ggtern' package (based on 'ggplot2') or 'Ternary'
package (based on standard graphics).
Author: Flavio Santi [cre, aut] (<https://orcid.org/0000-0002-2014-1981>),
Maria Michela Dickson [aut] (<https://orcid.org/0000-0002-4307-0469>),
Giuseppe Espa [aut] (<https://orcid.org/0000-0002-0331-3630>),
Diego Giuliani [aut] (<https://orcid.org/0000-0002-7198-6714>)
Maintainer: Flavio Santi <flavio.santi@univr.it>
Diff between plot3logit versions 3.0.0 dated 2020-09-12 and 3.1.0 dated 2021-02-26
plot3logit-3.0.0/plot3logit/man/autoplot.field3logit.Rd |only plot3logit-3.1.0/plot3logit/DESCRIPTION | 8 plot3logit-3.1.0/plot3logit/MD5 | 55 - plot3logit-3.1.0/plot3logit/NAMESPACE | 4 plot3logit-3.1.0/plot3logit/NEWS.md | 33 plot3logit-3.1.0/plot3logit/R/conf_region.R | 54 plot3logit-3.1.0/plot3logit/R/delta.R | 41 plot3logit-3.1.0/plot3logit/R/field3logit.R | 12 plot3logit-3.1.0/plot3logit/R/ggtern.R | 7 plot3logit-3.1.0/plot3logit/R/multifield3logit.R | 2 plot3logit-3.1.0/plot3logit/R/plot3logit-package.R | 7 plot3logit-3.1.0/plot3logit/R/test-aux.R | 9 plot3logit-3.1.0/plot3logit/README.md | 4 plot3logit-3.1.0/plot3logit/build/partial.rdb |binary plot3logit-3.1.0/plot3logit/build/vignette.rds |binary plot3logit-3.1.0/plot3logit/inst/CITATION | 7 plot3logit-3.1.0/plot3logit/inst/REFERENCES.bib | 50 plot3logit-3.1.0/plot3logit/inst/doc/plot3logit-overview.Rmd | 210 +++ plot3logit-3.1.0/plot3logit/inst/doc/plot3logit-overview.html | 550 ++++++---- plot3logit-3.1.0/plot3logit/man/add_confregions.Rd | 55 + plot3logit-3.1.0/plot3logit/man/autoplot.Hfield3logit.Rd |only plot3logit-3.1.0/plot3logit/man/gg3logit.Rd | 2 plot3logit-3.1.0/plot3logit/man/plot3logit-package.Rd | 2 plot3logit-3.1.0/plot3logit/man/reexports.Rd | 2 plot3logit-3.1.0/plot3logit/man/stat_3logit.Rd | 2 plot3logit-3.1.0/plot3logit/man/stat_conf3logit.Rd | 2 plot3logit-3.1.0/plot3logit/man/stat_field3logit.Rd | 2 plot3logit-3.1.0/plot3logit/tests/testthat/test-labels.R |only plot3logit-3.1.0/plot3logit/tests/testthat/test-read_delta.R | 65 + plot3logit-3.1.0/plot3logit/vignettes/plot3logit-overview.Rmd | 210 +++ 30 files changed, 1028 insertions(+), 367 deletions(-)
Title: XML Output Functions for Easy Creation of Moodle Questions
Description: Provides a set of basic functions for creating Moodle XML
output files suited for importing questions in Moodle (a learning
management system, see <https://moodle.org/> for more information).
Author: Emmanuel Curis [aut, cre, cph]
(<https://orcid.org/0000-0001-8382-1493>),
Virginie Lasserre [ctb]
Maintainer: Emmanuel Curis <emmanuel.curis@parisdescartes.fr>
Diff between SARP.moodle versions 0.8.6 dated 2021-01-06 and 0.8.7 dated 2021-02-26
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- R/affichages.R | 4 +++- R/images.R | 6 ++++-- R/sortie_R.R | 6 ++++-- man/libre.moodle.Rd | 4 ++-- 6 files changed, 22 insertions(+), 16 deletions(-)
Title: R Interface to 'MiniZinc'
Description: Constraint optimization, or constraint programming, is the name given to identifying
feasible solutions out of a very large set of candidates, where the problem can be modeled in terms
of arbitrary constraints. 'MiniZinc' is a free and open-source constraint modeling language.
Constraint satisfaction and discrete optimization problems can be formulated in a high-level
modeling language. Models are compiled into an intermediate representation that is understood by a
wide range of solvers. 'MiniZinc' itself provides several solvers, for instance 'GeCode'. R users
can use the package to solve constraint programming problems without using 'MiniZinc' directly,
modify existing 'MiniZinc' models and also create their own models.
Author: Akshit Achara, Lars Kotthoff, Hans W. Borchers, Guido Tack
Maintainer: Akshit Achara <acharaakshit@gmail.com>
Diff between rminizinc versions 0.0.5 dated 2021-01-27 and 0.0.6 dated 2021-02-26
DESCRIPTION | 8 MD5 | 80 +-- NAMESPACE | 4 NEWS.md | 18 R/CommonMZNProblems.R | 268 ++++++++++++ R/DeclFunctions.R | 35 + R/Expression.R | 64 +- R/SolveItem.R | 2 R/utils.R | 9 configure | 18 configure.ac | 2 configure.win | 18 data/proot.RData |binary inst/doc/R_MiniZinc.R | 301 +++++++++----- inst/doc/R_MiniZinc.Rmd | 449 ++++++++++++++------- inst/doc/R_MiniZinc.html | 875 +++++++++++++++++++++++++++-------------- man/BinOp.Rd | 5 man/BoolArrDecl.Rd | 2 man/BoolDecl.Rd | 2 man/BoolSetDecl.Rd | 2 man/FloatDecl.Rd | 4 man/FloatSetDecl.Rd | 2 man/IntArrDecl.Rd | 2 man/IntDecl.Rd | 4 man/IntSetDecl.Rd | 2 man/Let.Rd | 16 man/SolveItem.Rd | 2 man/StringArrDecl.Rd | 4 man/StringSetDecl.Rd | 2 man/TypeInst.Rd | 2 man/UnOp.Rd | 2 man/VarDecl.Rd | 2 man/assignment.Rd | 2 man/assignment_2.Rd |only man/magic_series.Rd |only man/magic_square.Rd |only man/production_planning.Rd |only man/rminizinc-package.Rd | 2 src/Makevars.in | 6 src/mzn_eval.cpp | 2 src/mzn_parse.cpp | 2 tests/testthat/test_problems.R | 12 vignettes/R_MiniZinc.Rmd | 449 ++++++++++++++------- 43 files changed, 1857 insertions(+), 824 deletions(-)
Title: Bayesian Estimation of Intervention Effects
Description: An implementation of intervention effect estimation for DAGs (directed acyclic graphs) learned from binary data. First, parameters are estimated or sampled for the DAG and then interventions on each node (variable) are propagated through the network (do-calculus). Both exact computation (up to around 20 variables) and Monte Carlo schemes (for larger networks) are implemented.
Author: Jack Kuipers [aut,cre] and Giusi Moffa [aut]
Maintainer: Jack Kuipers <jack.kuipers@bsse.ethz.ch>
Diff between Bestie versions 0.1.1 dated 2020-03-30 and 0.1.2 dated 2021-02-26
DESCRIPTION | 10 +++++----- MD5 | 10 +++++----- R/interventionest.R | 2 +- R/interventionestMC.R | 2 +- man/DAGintervention.Rd | 2 +- man/DAGinterventionMC.Rd | 2 +- 6 files changed, 14 insertions(+), 14 deletions(-)
Title: Crowd Sourced System Benchmarks
Description: Benchmark your CPU and compare against other CPUs.
Also provides functions for obtaining system specifications, such as
RAM, CPU type, and R version.
Author: Colin Gillespie [aut, cre] (<https://orcid.org/0000-0003-1787-0275>)
Maintainer: Colin Gillespie <csgillespie@gmail.com>
Diff between benchmarkme versions 1.0.5 dated 2021-02-09 and 1.0.6 dated 2021-02-26
DESCRIPTION | 6 +++--- MD5 | 11 ++++++----- NEWS.md | 3 +++ R/get_cpu.R | 4 ++-- R/get_ram.R | 4 ++-- R/utils-sysctl.R |only inst/doc/a_introduction.html | 9 ++++++++- 7 files changed, 24 insertions(+), 13 deletions(-)
More information about twangContinuous at CRAN
Permanent link
Title: Supervised Data Transformation by Means of Neural Network Hidden
Layer
Description: A supervised transformation of datasets is performed.
The aim is similar to that of Principal Component Analysis (PCA), that is, to carry out data transformation and dimensionality reduction, but in a supervised way.
This is achieved by first training a 3-layer Multi-Layer Perceptron and then using the activations of the hidden layer as a transformation of the input features.
In fact, it takes advantage of the change of representation provided by the hidden layer of a neural network.
This can be useful as data pre-processing for Machine Learning methods in general, specially for those that do not work well with many irrelevant or redundant features.
It uses the nnet package under the hood.
Valls, J.M., Aler, R., Galvan, I.M., and Camacho, D. (2021). "Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems". <doi:10.1007/s12652-020-02841-y>
Rumelhart, D.E., Hinton, G.E. and Williams, R.J. (1986) "Learning representations by back-propagating errors" <doi:10.1038/323533a0>.
Author: Ricardo Aler [aut, cre],
Jose Valls [aut],
Ines Galvan [aut],
David Camacho [aut]
Maintainer: Ricardo Aler <ricardo.aler@uc3m.es>
Diff between nntrf versions 0.1.3 dated 2020-08-06 and 0.1.4 dated 2021-02-26
DESCRIPTION | 7 ++++--- MD5 | 18 +++++++++--------- inst/doc/nntrf.html | 4 ++-- inst/doc/nntrf_regresion.Rmd | 2 +- inst/doc/nntrf_regresion.html | 6 +++--- inst/doc/nntrf_tuning.R | 1 - inst/doc/nntrf_tuning.Rmd | 1 - inst/doc/nntrf_tuning.html | 5 ++--- vignettes/nntrf_regresion.Rmd | 2 +- vignettes/nntrf_tuning.Rmd | 1 - 10 files changed, 22 insertions(+), 25 deletions(-)
Title: Statistics for Matrix Distributions
Description: Tools for homogeneous and in-homogeneous phase-type distributions.
Methods for functional evaluation, simulation and estimation using the
expectation-maximization (EM) algorithm are provided.
The methods of this package are based on the following references.
Asmussen, S., Nerman, O., & Olsson, M. (1996) <https://www.jstor.org/stable/4616418>,
Olsson, M. (1996) <https://www.jstor.org/stable/4616419>.
Albrecher, H., & Bladt, M. (2019) <doi:10.1017/jpr.2019.60>
Albrecher, H., Bladt, M., & Yslas, J. (2020) <doi:10.1111/sjos.12505>
Bladt, M., & Yslas, J. (2020) <arXiv:2011.03219>.
Author: Martin Bladt [aut, cre],
Jorge Yslas [aut]
Maintainer: Martin Bladt <martinbladt@gmail.com>
Diff between matrixdist versions 1.0.1 dated 2021-02-15 and 1.0.2 dated 2021-02-26
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/1.ph.R | 12 ++++++------ man/moment-ph-method.Rd | 4 ++-- 4 files changed, 15 insertions(+), 15 deletions(-)
Title: Simulate Survival Data for Randomized Clinical Trials
Description: A system to simulate clinical trials with time to event endpoints. Event simulation is based on Cox models allowing for covariates in addition to the treatment or group factor. Specific drop-out rates (separate from administrative censoring) can be controlled in the simulation. Other features include stratified randomization, non-proportional hazards, different accrual patterns, and event projection (timing to reach the target event) based on interim data.
Author: Bo Zhang [cre, aut],
Yi Zhong [aut, ctb],
Ginny Peng [aut, ctb],
Bin Yao [aut, ctb]
Maintainer: Bo Zhang <bzhang@pumabiotechnology.com>
Diff between TwoArmSurvSim versions 0.1 dated 2020-12-16 and 0.2 dated 2021-02-26
DESCRIPTION | 8 - MD5 | 8 - NAMESPACE | 3 R/utility_functions.R | 305 ++++++++++++++++++++++++++++++++++++++++++ man/censor_surv.Rd |only man/run_simulation_simsurv.Rd |only 6 files changed, 317 insertions(+), 7 deletions(-)
Title: Create Complex UpSet Plots Using 'ggplot2' Components
Description: UpSet plots are an improvement over Venn Diagram for set overlap visualizations.
Striving to bring the best of the 'UpSetR' and 'ggplot2', this package offers a way to create
complex overlap visualisations, using simple and familiar tools, i.e. geoms of 'ggplot2'.
For introduction to UpSet concept, see Lex et al. (2014) <doi:10.1109/TVCG.2014.2346248>.
Author: Michał Krassowski [aut, cre] (<https://orcid.org/0000-0002-9638-7785>)
Maintainer: Michał Krassowski <krassowski.michal+r@gmail.com>
Diff between ComplexUpset versions 1.0.3 dated 2021-01-10 and 1.1.0 dated 2021-02-26
ComplexUpset-1.0.3/ComplexUpset/vignettes/Examples_R_files/Examples_R_153_0.png |only ComplexUpset-1.0.3/ComplexUpset/vignettes/Examples_R_files/Examples_R_156_0.png |only ComplexUpset-1.0.3/ComplexUpset/vignettes/Examples_R_files/Examples_R_160_0.png |only ComplexUpset-1.0.3/ComplexUpset/vignettes/Examples_R_files/Examples_R_165_1.png |only ComplexUpset-1.0.3/ComplexUpset/vignettes/Examples_R_files/Examples_R_172_0.png |only ComplexUpset-1.0.3/ComplexUpset/vignettes/Examples_R_files/Examples_R_174_1.png |only ComplexUpset-1.0.3/ComplexUpset/vignettes/Examples_R_files/Examples_R_181_0.png |only ComplexUpset-1.0.3/ComplexUpset/vignettes/Examples_R_files/Examples_R_188_0.png |only ComplexUpset-1.1.0/ComplexUpset/DESCRIPTION | 6 ComplexUpset-1.1.0/ComplexUpset/MD5 | 47 +++---- ComplexUpset-1.1.0/ComplexUpset/R/data.R | 64 +++++++--- ComplexUpset-1.1.0/ComplexUpset/R/upset.R | 7 - ComplexUpset-1.1.0/ComplexUpset/inst/doc/Examples_R.Rmd | 51 +++++-- ComplexUpset-1.1.0/ComplexUpset/inst/doc/Examples_R.html | 25 +++ ComplexUpset-1.1.0/ComplexUpset/man/upset.Rd | 2 ComplexUpset-1.1.0/ComplexUpset/man/upset_data.Rd | 4 ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R.Rmd | 51 +++++-- ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_130_0.png |binary ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_152_0.png |only ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_155_0.png |only ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_158_0.png |only ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_162_0.png |only ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_167_1.png |binary ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_169_1.png |binary ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_171_1.png |only ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_174_0.png |only ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_176_1.png |binary ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_178_1.png |only ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_183_0.png |binary ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_185_0.png |binary ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_187_0.png |only ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_190_0.png |only ComplexUpset-1.1.0/ComplexUpset/vignettes/Examples_R_files/Examples_R_40_0.png |binary 33 files changed, 185 insertions(+), 72 deletions(-)
Title: Analyze Experimental High-Throughput (Omics) Data
Description: The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions.
Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc.
Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates).
Other functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc.
Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large data-sets by combining very close values.
Many times large experimental datasets need some additional filtering, adequate functions are provided.
Batch reading (or writing) of sets of files and combining data to arrays is supported, too.
Convenient data normalization is supported in various different modes, parameter estimation via permutations or boot-strap as well as flexible testing of multiple pair-wise combinations using the framework of 'limma' is provided, too.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>
Diff between wrMisc versions 1.5.2 dated 2021-02-09 and 1.5.3 dated 2021-02-26
DESCRIPTION | 6 ++-- MD5 | 8 +++--- R/matchSampToPairw.R | 52 +++++++++++++++++++++++++++++------------- inst/doc/wrMiscVignette1.html | 28 ++++++++++------------ man/matchSampToPairw.Rd | 21 +++++++++++----- 5 files changed, 70 insertions(+), 45 deletions(-)
Title: Training Run Tools for 'TensorFlow'
Description: Create and manage unique directories for each 'TensorFlow'
training run. Provides a unique, time stamped directory for each run
along with functions to retrieve the directory of the latest run or
latest several runs.
Author: Daniel Falbel [ctb, cre],
JJ Allaire [aut],
RStudio [cph, fnd],
Mike Bostock [cph] (D3 library - https://d3js.org/),
Masayuki Tanaka [cph] (C3 library - http://c3js.org/),
jQuery Foundation [cph] (jQuery library),
jQuery contributors [cph] (jQuery library; authors:
inst/views/components/jquery-AUTHORS.txt),
Shaun Bowe [cph] (jQuery visibilityChanged plugin),
Materialize [cph] (Materizlize library - https://materializecss.com/),
Yuxi You [cph] (Vue.js library - https://vuejs.org/),
Kevin Decker [cph] (jsdiff library -
https://github.com/kpdecker/jsdiff/),
Rodrigo Fernandes [cph] (diff2html library - https://diff2html.xyz/),
Ivan Sagalaev [cph] (highlight.js library - https://highlightjs.org/),
Yauheni Pakala [cph] (highlightjs-line-numbers library)
Maintainer: Daniel Falbel <daniel@rstudio.com>
Diff between tfruns versions 1.4 dated 2018-08-25 and 1.5.0 dated 2021-02-26
tfruns-1.4/tfruns/tests/testthat/utils.R |only tfruns-1.5.0/tfruns/DESCRIPTION | 18 + tfruns-1.5.0/tfruns/MD5 | 68 +++--- tfruns-1.5.0/tfruns/NEWS.md |only tfruns-1.5.0/tfruns/R/run_metadata.R | 4 tfruns-1.5.0/tfruns/R/training_run.R | 129 ++++++++----- tfruns-1.5.0/tfruns/R/utils.R | 15 + tfruns-1.5.0/tfruns/README.md | 8 tfruns-1.5.0/tfruns/build/vignette.rds |binary tfruns-1.5.0/tfruns/inst/doc/managing.R | 14 - tfruns-1.5.0/tfruns/inst/doc/managing.html | 122 +++++++++--- tfruns-1.5.0/tfruns/inst/doc/overview.R | 24 +- tfruns-1.5.0/tfruns/inst/doc/overview.Rmd | 4 tfruns-1.5.0/tfruns/inst/doc/overview.html | 140 ++++++++++---- tfruns-1.5.0/tfruns/inst/doc/tuning.R | 16 - tfruns-1.5.0/tfruns/inst/doc/tuning.Rmd | 4 tfruns-1.5.0/tfruns/inst/doc/tuning.html | 186 ++++++++++++------- tfruns-1.5.0/tfruns/man/clean_runs.Rd | 17 + tfruns-1.5.0/tfruns/man/compare_runs.Rd | 3 tfruns-1.5.0/tfruns/man/copy_run.Rd | 4 tfruns-1.5.0/tfruns/man/flags.Rd | 10 - tfruns-1.5.0/tfruns/man/ls_runs.Rd | 9 tfruns-1.5.0/tfruns/man/reexports.Rd | 2 tfruns-1.5.0/tfruns/man/training_run.Rd | 20 +- tfruns-1.5.0/tfruns/man/tuning_run.Rd | 57 ++++- tfruns-1.5.0/tfruns/man/unique_run_dir.Rd | 6 tfruns-1.5.0/tfruns/man/write_run_metadata.Rd | 6 tfruns-1.5.0/tfruns/tests/testthat/flags-precision.R |only tfruns-1.5.0/tfruns/tests/testthat/helper.R |only tfruns-1.5.0/tfruns/tests/testthat/test-copy.R | 58 ++++- tfruns-1.5.0/tfruns/tests/testthat/test-flags.R | 70 ++++--- tfruns-1.5.0/tfruns/tests/testthat/test-run-data.R | 28 ++ tfruns-1.5.0/tfruns/tests/testthat/test-runs.R | 52 +++-- tfruns-1.5.0/tfruns/tests/testthat/test-tuning.R | 91 ++++++++- tfruns-1.5.0/tfruns/tests/testthat/train.R | 2 tfruns-1.5.0/tfruns/vignettes/overview.Rmd | 4 tfruns-1.5.0/tfruns/vignettes/tuning.Rmd | 4 37 files changed, 834 insertions(+), 361 deletions(-)
Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services
<https://aws.amazon.com>. The functions handle building, signing, and
sending requests, and receiving responses. They are designed to help build
higher-level interfaces to individual services, such as Simple Storage
Service (S3).
Author: David Kretch [aut, cre],
Adam Banker [aut],
Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Diff between paws.common versions 0.3.8 dated 2021-01-25 and 0.3.9 dated 2021-02-26
DESCRIPTION | 26 ++-- MD5 | 16 +- NEWS.md | 10 + R/config.R | 123 +++++++++----------- R/credential_providers.R | 177 +++++++++++++++++++---------- R/credentials.R | 17 -- man/set_config.Rd | 102 +++++++++------- tests/testthat/test_credential_providers.R | 8 - tests/testthat/test_credentials.R | 112 +++++++++++++++++- 9 files changed, 382 insertions(+), 209 deletions(-)
Title: Density Based Clustering of Applications with Noise (DBSCAN) and
Related Algorithms
Description: A fast reimplementation of several density-based algorithms of
the DBSCAN family for spatial data. Includes the clustering algorithms
DBSCAN (density-based spatial clustering of applications with noise)
and HDBSCAN (hierarchical DBSCAN), the ordering algorithm
OPTICS (ordering points to identify the clustering structure),
and the outlier detection algorithm LOF (local outlier factor).
The implementations use the kd-tree data structure (from library ANN) for faster k-nearest neighbor search.
An R interface to fast kNN and fixed-radius NN search is also provided.
Hahsler, Piekenbrock and Doran (2019) <doi:10.18637/jss.v091.i01>.
Author: Michael Hahsler [aut, cre, cph],
Matthew Piekenbrock [aut, cph],
Sunil Arya [ctb, cph],
David Mount [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Diff between dbscan versions 1.1-5 dated 2019-10-23 and 1.1-6 dated 2021-02-26
DESCRIPTION | 29 - MD5 | 97 ++--- NAMESPACE | 1 NEWS.md | 14 R/GLOSH.R | 22 - R/LOF.R | 13 R/NN.R | 6 R/RcppExports.R | 4 R/dbscan.R | 8 R/extractFOSC.R | 45 +- R/frNN.R | 6 R/hdbscan.R | 28 - R/hullplot.R | 8 R/jpclust.R | 2 R/kNN.R | 12 R/optics.R | 6 R/predict.R | 11 R/sNN.R | 2 R/zzz.R |only README.md | 12 build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 2 inst/doc/dbscan.R | 1 inst/doc/dbscan.pdf |binary inst/doc/hdbscan.R | 36 - inst/doc/hdbscan.html | 774 ++++++++++++++++++++++++------------------ man/dbscan.Rd | 4 man/fosc.Rd | 6 man/glosh.Rd | 2 man/hdbscan.Rd | 13 man/jpclust.Rd | 2 man/kNN.Rd | 4 man/lof.Rd | 21 - man/optics.Rd | 4 man/sNN.Rd | 17 man/sNNclust.Rd | 2 src/R_cleanup.cpp |only src/R_dbscan.cpp | 8 src/R_density.cpp | 8 src/R_frNN.cpp | 5 src/R_kNN.cpp | 17 src/R_optics.cpp | 8 src/RcppExports.cpp | 10 src/buildHDBSCAN.cpp | 532 ++++++++++++++-------------- src/kd_tree.cpp | 14 src/mrd.cpp | 2 tests/testthat/test-fosc.R | 31 - tests/testthat/test-hdbscan.R | 11 tests/testthat/test-kNN.R | 22 - tests/testthat/test-predict.R |only 51 files changed, 1029 insertions(+), 853 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-01-08 1.3.6
2020-09-29 1.3.5
2020-08-27 1.3.4
2020-08-11 1.3.3
2020-06-14 1.3.2
2020-06-02 1.3.1
2020-04-17 1.3.0
2020-02-13 1.2.6
2020-02-11 1.2.5
2019-12-16 1.2.4
2019-11-12 1.2.3
2019-11-10 1.2.2
2019-08-20 1.2.1
2019-08-19 1.2.0
2019-05-10 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-04-15 0.5.0