Title: Supplementary Item Response Theory Models
Description: Supplementary functions for item response models aiming
to complement existing R packages. The functionality includes among others
multidimensional compensatory and noncompensatory IRT models
(Reckase, 2009, <doi:10.1007/978-0-387-89976-3>),
MCMC for hierarchical IRT models and testlet models
(Fox, 2010, <doi:10.1007/978-1-4419-0742-4>),
NOHARM (McDonald, 1982, <doi:10.1177/014662168200600402>),
Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>;
Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>),
faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011,
<doi:10.1111/j.1745-3984.2011.00143.x>),
ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>),
DETECT statistic (Stout, Habing, Douglas & Kim, 1996,
<doi:10.1177/014662169602000403>), local structural equation modeling
(LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016,
<doi:10.1080/00273171.2016.1142856>).
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between sirt versions 3.5-53 dated 2019-06-20 and 3.6-21 dated 2019-08-01
DESCRIPTION | 8 +- MD5 | 58 +++++++------- NAMESPACE | 1 R/RcppExports.R | 14 +-- R/invariance.alignment.R | 74 +++++++++++------- R/invariance_alignment_center_parameters.R | 8 +- R/invariance_alignment_cfa_config.R | 14 +++ R/invariance_alignment_cfa_config_estimate.R | 8 +- R/invariance_alignment_define_parameters.R | 23 +++++ R/invariance_alignment_summary_optimization.R | 5 - R/lsem_bootstrap_inference.R | 4 - R/rm.sdt.R | 9 +- R/rm_sdt_create_partable.R | 3 R/rm_sdt_create_partable_define_pargroups.R | 5 - R/rm_sdt_evaluate_prior_derivative.R | 3 R/rm_sdt_mstep_item_function_gradient.R | 3 R/rm_sdt_mstep_type_function_gradient.R | 3 R/scale_group_means.R |only R/sirt_optimizer.R | 2 build/partial.rdb |binary data/data.si09.rda |only data/data.si10.rda |only data/datalist | 2 inst/CITATION | 30 +++++-- inst/NEWS | 22 +++++ man/data.si.Rd | 64 +++++++++++++++- man/data.trees.Rd | 20 ++--- man/invariance.alignment.Rd | 103 ++++++++++++++++---------- man/noharm.sirt.Rd | 24 +++--- man/scale_group_means.Rd |only src/RcppExports.cpp | 29 ++++--- src/sirt_rcpp_invariance_alignment.cpp | 21 +++-- 32 files changed, 382 insertions(+), 178 deletions(-)
Title: Latent Variable Models
Description: A general implementation of Structural Equation Models
with latent variables (MLE, 2SLS, and composite likelihood
estimators) with both continuous, censored, and ordinal
outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>).
Mixture latent variable models and non-linear latent variable models
(Holst and Budtz-Joergensen (2019) <doi:10.1093/biostatistics/kxy082>).
The package also provides methods for graph exploration (d-separation,
back-door criterion), simulation of general non-linear latent variable
models, and estimation of influence functions for a broad range of
statistical models.
Author: Klaus K. Holst [aut, cre],
Brice Ozenne [ctb],
Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>
Diff between lava versions 1.6.5 dated 2019-02-12 and 1.6.6 dated 2019-08-01
DESCRIPTION | 8 - MD5 | 66 ++++++------ NAMESPACE | 2 NEWS | 11 +- R/ksmooth.R | 6 - R/lava-package.R | 4 R/mixture.R | 2 R/mvnmix.R | 258 ++++++++++++++++++++++++++++--------------------- R/optims.R | 87 +++++++++++----- R/plotConf.R | 2 R/sim.lvm.R | 1 R/twostage.R | 1 R/wkm.R | 31 +++++ data/bmd.rda |binary data/bmidata.rda |binary data/brisa.rda |binary data/calcium.rda |binary data/hubble.rda |binary data/hubble2.rda |binary data/indoorenv.rda |binary data/missingdata.rda |binary data/nldata.rda |binary data/nsem.rda |binary data/semdata.rda |binary data/serotonin.rda |binary data/serotonin2.rda |binary data/twindata.rda |binary inst/doc/reference.pdf |binary man/NR.Rd | 9 - man/mixture.Rd | 2 man/mvnmix.Rd | 11 +- man/plotConf.Rd | 2 man/sim.Rd | 1 man/wkm.Rd | 4 34 files changed, 314 insertions(+), 194 deletions(-)
Title: Conduct Univariate and Bivariate Wavelet Analyses
Description: This is a port of the WTC MATLAB package written by Aslak Grinsted
and the wavelet program written by Christopher Torrence and Gibert P.
Compo. This package can be used to perform univariate and bivariate
(cross-wavelet, wavelet coherence, wavelet clustering) analyses.
Author: Tarik C. Gouhier, Aslak Grinsted, Viliam Simko
Maintainer: Tarik C. Gouhier <tarik.gouhier@gmail.com>
Diff between biwavelet versions 0.20.17 dated 2018-05-19 and 0.20.19 dated 2019-08-01
biwavelet-0.20.17/biwavelet/inst/doc |only biwavelet-0.20.19/biwavelet/DESCRIPTION | 10 +- biwavelet-0.20.19/biwavelet/MD5 | 36 +++----- biwavelet-0.20.19/biwavelet/R/plot.biwavelet.R | 4 biwavelet-0.20.19/biwavelet/inst/NEWS.Rd | 17 ++++ biwavelet-0.20.19/biwavelet/man/arrow2.Rd | 3 biwavelet-0.20.19/biwavelet/man/phase.plot.Rd | 4 biwavelet-0.20.19/biwavelet/man/plot.biwavelet.Rd | 70 ++--------------- biwavelet-0.20.19/biwavelet/man/pwtc.Rd | 24 ----- biwavelet-0.20.19/biwavelet/man/wclust.Rd | 23 ----- biwavelet-0.20.19/biwavelet/man/wdist.Rd | 13 --- biwavelet-0.20.19/biwavelet/man/wt.Rd | 3 biwavelet-0.20.19/biwavelet/man/wtc.sig.Rd | 5 - biwavelet-0.20.19/biwavelet/man/xwt.Rd | 22 ----- biwavelet-0.20.19/biwavelet/src/rcpp_wt_bases_paul.cpp | 13 +-- 15 files changed, 64 insertions(+), 183 deletions(-)
Title: Regularized Linear Models
Description: Algorithms for fitting model-based penalized coefficient paths. Currently the models include penalized Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial regression models. The penalties include least absolute shrinkage and selection operator (LASSO), smoothly clipped absolute deviation (SCAD) and minimax concave penalty (MCP), and each possibly combining with L_2 penalty.
See Wang et al. (2014) <doi:10.1002/sim.6314>, Wang et al. (2015) <doi:10.1002/bimj.201400143>,
Wang et al. (2016) <doi:10.1177/0962280214530608>.
Author: Zhu Wang, with contributions from Achim Zeileis, Simon Jackman, Brian Ripley, Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan, Gil Chu and Patrick Breheny
Maintainer: Zhu Wang <wangz1@uthscsa.edu>
Diff between mpath versions 0.3-16 dated 2019-07-10 and 0.3-17 dated 2019-08-01
DESCRIPTION | 8 +++--- MD5 | 60 +++++++++++++++++++++++------------------------ NEWS | 4 +++ R/glmreg.R | 18 ++++++++------ R/ncl.R | 1 R/nclreg.R | 13 ++++++---- R/zipath.R | 4 ++- build/vignette.rds |binary inst/doc/brcancer.pdf |binary inst/doc/german.pdf |binary inst/doc/kkt.Rnw | 42 +++++++++++++++----------------- inst/doc/kkt.pdf |binary man/glmreg_fit.Rd | 5 ++- man/nclreg_fit.Rd | 5 ++- man/zipath_fit.Rd | 6 +++- src/glmreg_fit_fortran.f | 15 ++++++----- src/glmregnb_fortran.f | 8 +++--- src/lmnetGLM.f | 12 ++++++--- src/lmnetGaussian.f | 28 +++++++++++++-------- src/midloop.f | 11 +++----- src/midloopGLM.f | 6 ++-- src/mpath_init.c | 28 ++++++++++----------- src/nclreg_ad.f | 10 +++---- src/nclreg_fortran.f | 8 +++--- src/nclreg_onelambda.f | 7 +++-- src/outloop.f | 20 +++++++-------- src/zi_onelambda.f | 12 ++++----- src/zipath_active.f | 14 +++++----- src/zipath_nonactive.f | 8 +++--- vignettes/kkt.Rnw | 42 +++++++++++++++----------------- vignettes/mpath.bib | 2 - 31 files changed, 211 insertions(+), 186 deletions(-)
Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized
linear, and mixed models. Compute contrasts or linear functions of EMMs,
trends, and comparisons of slopes. Plots and other displays.
Least-squares means are discussed, and the term "estimated marginal means"
is suggested, in Searle, Speed, and Milliken (1980) Population marginal means
in the linear model: An alternative to least squares means, The American
Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell Lenth [aut, cre, cph],
Henrik Singmann [ctb],
Jonathon Love [ctb],
Paul Buerkner [ctb],
Maxime Herve [ctb]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>
Diff between emmeans versions 1.3.5.1 dated 2019-06-27 and 1.4 dated 2019-08-01
DESCRIPTION | 8 +- MD5 | 90 +++++++++++++++---------------- NAMESPACE | 1 NEWS.md | 18 ++++++ R/0nly-internal.R | 19 +++++- R/MCMC-support.R | 31 +++++++--- R/cld-emm.R | 20 +------ R/emmGrid-methods.R | 53 ++++++++++++++---- R/emmip.R | 33 +++++++++-- R/glht-support.R | 8 +- R/helpers.R | 7 +- R/multiple-models.R | 6 +- R/plot.emm.R | 105 +++++++++++++++++++++++++------------ R/pwpp.R | 8 +- R/zzz.R | 47 ++++++++++++++-- build/vignette.rds |binary inst/doc/FAQs.html | 14 +++- inst/doc/basics.Rmd | 2 inst/doc/basics.html | 25 ++++---- inst/doc/comparisons.html | 20 ++++--- inst/doc/confidence-intervals.Rmd | 8 ++ inst/doc/confidence-intervals.html | 24 +++++--- inst/doc/interactions.html | 28 +++++---- inst/doc/messy-data.html | 28 +++++---- inst/doc/models.html | 8 ++ inst/doc/predictions.R | 3 + inst/doc/predictions.Rmd | 10 +++ inst/doc/predictions.html | 14 +++- inst/doc/sophisticated.html | 12 ++-- inst/doc/transformations.html | 10 ++- inst/doc/utilities.html | 8 ++ inst/doc/vignette-topics.Rmd | 6 +- inst/doc/vignette-topics.html | 16 ++++- inst/doc/xtending.Rmd | 51 +++-------------- inst/doc/xtending.html | 46 ++++------------ man/emmip.Rd | 13 +++- man/extending-emmeans.Rd | 32 ++++++++++- man/mcmc-support.Rd | 16 ++++- man/plot.Rd | 30 ++++++++-- man/regrid.Rd | 45 ++++++++++++--- man/update.emmGrid.Rd | 2 vignettes/basics.Rmd | 2 vignettes/confidence-intervals.Rmd | 8 ++ vignettes/predictions.Rmd | 10 +++ vignettes/vignette-topics.Rmd | 6 +- vignettes/xtending.Rmd | 51 +++-------------- 46 files changed, 632 insertions(+), 370 deletions(-)
Title: Duration-Based Quantities of Interest for the Cox Proportional
Hazards Model
Description: Functions for generating, simulating, and visualizing expected
durations and marginal changes in duration from the Cox proportional hazards
model.
Author: Kropko, Jonathan [aut, cre],
Harden, Jeffrey J. [aut]
Maintainer: "Kropko, Jonathan" <jkropko@virginia.edu>
Diff between coxed versions 0.2.4 dated 2019-04-12 and 0.3.0 dated 2019-08-01
DESCRIPTION | 6 MD5 | 72 - NAMESPACE | 2 NEWS.md | 26 R/bca.R | 2 R/coxed.R | 234 ++--- R/coxed.gam.R | 16 R/coxed.gam.tvc.R | 60 - R/coxed.npsf.tvc.R | 81 - R/coxed.package.R | 2 R/generate.lm.R | 3 R/rank.predict.R | 42 R/sim.survdata.R | 16 R/summary.coxedMargin.R | 6 build/vignette.rds |binary inst/doc/coxed.Rmd | 2 inst/doc/coxed.html | 290 ++---- inst/doc/simulating_survival_data.R | 4 inst/doc/simulating_survival_data.html | 466 +++++----- man/coxed.Rd | 16 man/coxed.gam.Rd | 8 man/coxed.gam.tvc.Rd | 26 man/coxed.npsf.tvc.Rd | 19 man/rank.predict.Rd | 6 vignettes/coxed.Rmd | 2 vignettes/coxed_files/figure-html/gamfit-1.png |binary vignettes/coxed_files/figure-html/tester2-1.png |binary vignettes/simulating_survival_data_cache/html/simsurv10_1d13901b75a23b9fd48ba1cba7e3cc8b.RData |binary vignettes/simulating_survival_data_cache/html/simsurv10_1d13901b75a23b9fd48ba1cba7e3cc8b.rdb |binary vignettes/simulating_survival_data_cache/html/simsurv10_1d13901b75a23b9fd48ba1cba7e3cc8b.rdx |binary vignettes/simulating_survival_data_files/figure-html/fixhaz1-1.png |binary vignettes/simulating_survival_data_files/figure-html/fixhaz1-2.png |binary vignettes/simulating_survival_data_files/figure-html/fixhaz2-1.png |binary vignettes/simulating_survival_data_files/figure-html/fixhaz2-2.png |binary vignettes/simulating_survival_data_files/figure-html/plot1-1.png |binary vignettes/simulating_survival_data_files/figure-html/plot2-1.png |binary vignettes/simulating_survival_data_files/figure-html/plot3-1.png |binary 37 files changed, 688 insertions(+), 719 deletions(-)
Title: Extreme Gradient Boosting
Description: Extreme Gradient Boosting, which is an efficient implementation
of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
This package is its R interface. The package includes efficient linear
model solver and tree learning algorithms. The package can automatically
do parallel computation on a single machine which could be more than 10
times faster than existing gradient boosting packages. It supports
various objective functions, including regression, classification and ranking.
The package is made to be extensible, so that users are also allowed to define
their own objectives easily.
Author: Tianqi Chen [aut],
Tong He [aut, cre],
Michael Benesty [aut],
Vadim Khotilovich [aut],
Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>),
Hyunsu Cho [aut],
Kailong Chen [aut],
Rory Mitchell [aut],
Ignacio Cano [aut],
Tianyi Zhou [aut],
Mu Li [aut],
Junyuan Xie [aut],
Min Lin [aut],
Yifeng Geng [aut],
Yutian Li [aut],
XGBoost contributors [cph] (base XGBoost implementation)
Maintainer: Tong He <hetong007@gmail.com>
Diff between xgboost versions 0.90.0.1 dated 2019-07-25 and 0.90.0.2 dated 2019-08-01
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- inst/doc/discoverYourData.html | 2 +- inst/doc/xgboost.pdf |binary inst/doc/xgboostPresentation.html | 2 +- src/dmlc-core/include/dmlc/endian.h | 8 ++++++-- 6 files changed, 17 insertions(+), 13 deletions(-)
Title: Visualisation Toolbox for 'easystats' and Extra Geoms, Themes
and Color Palettes for 'ggplot2'
Description: Provides plotting utilities supporting easystats-packages (<https://github.com/easystats/easystats>)
and some extra themes, geoms, and scales for 'ggplot2'. Color scales are
based on <https://www.materialui.co/colors>.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>),
Dominique Makowski [aut, inv] (<https://orcid.org/0000-0001-5375-9967>),
Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>),
Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>
Diff between see versions 0.2.0 dated 2019-06-19 and 0.2.1 dated 2019-08-01
see-0.2.0/see/R/plot.bayesfactor_savagedickey.R |only see-0.2.0/see/R/plot.ci.R |only see-0.2.1/see/DESCRIPTION | 12 +- see-0.2.1/see/MD5 | 73 +++++++------ see-0.2.1/see/NAMESPACE | 42 ++++++- see-0.2.1/see/NEWS.md | 23 ++++ see-0.2.1/see/R/data_plot.R | 11 +- see-0.2.1/see/R/plot.bayesfactor_models.R | 2 see-0.2.1/see/R/plot.bayesfactor_parameters.R |only see-0.2.1/see/R/plot.check_collinearity.R | 4 see-0.2.1/see/R/plot.check_distribution.R | 53 +++++++++ see-0.2.1/see/R/plot.check_normality.R | 3 see-0.2.1/see/R/plot.equivalence_test.R | 7 - see-0.2.1/see/R/plot.estimate_contrasts.R | 20 +-- see-0.2.1/see/R/plot.eti.R |only see-0.2.1/see/R/plot.hdi.R | 11 -- see-0.2.1/see/R/plot.p_direction.R | 2 see-0.2.1/see/R/plot.parameters_model.R |only see-0.2.1/see/R/plot.parameters_sem.R |only see-0.2.1/see/R/plot.point_estimates.R |only see-0.2.1/see/R/print.binned_residuals.R | 30 +++-- see-0.2.1/see/R/print.check_model.R | 29 +++-- see-0.2.1/see/R/scale_color_flat.R | 13 +- see-0.2.1/see/R/scale_color_material.R | 18 +-- see-0.2.1/see/R/scale_color_metro.R |only see-0.2.1/see/R/scale_color_pizza.R | 14 -- see-0.2.1/see/R/scale_color_social.R |only see-0.2.1/see/R/theme_abyss.R | 1 see-0.2.1/see/R/theme_blackboard.R | 3 see-0.2.1/see/R/utils.R | 129 ++++++++++++++++++++++++ see-0.2.1/see/man/data_plot.Rd | 68 +++++++++--- see-0.2.1/see/man/flat_colors.Rd | 2 see-0.2.1/see/man/material_colors.Rd | 2 see-0.2.1/see/man/metro_colors.Rd |only see-0.2.1/see/man/palette_flat.Rd | 2 see-0.2.1/see/man/palette_material.Rd | 2 see-0.2.1/see/man/palette_metro.Rd |only see-0.2.1/see/man/palette_pizza.Rd | 3 see-0.2.1/see/man/palette_social.Rd |only see-0.2.1/see/man/scale_color_flat.Rd | 7 - see-0.2.1/see/man/scale_color_material.Rd | 9 - see-0.2.1/see/man/scale_color_metro.Rd |only see-0.2.1/see/man/scale_color_pizza.Rd | 10 - see-0.2.1/see/man/scale_color_social.Rd |only see-0.2.1/see/man/social_colors.Rd |only 45 files changed, 453 insertions(+), 152 deletions(-)
Title: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for
Phylogenetic Comparative Hypotheses
Description: Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history. See K. Bartoszek, J, Pienaar, P. Mostad, S. Andersson, T. F.Hansen (2012) <doi:10.1016/j.jtbi.2012.08.005>.
Author: Krzysztof Bartoszek <krzbar@protonmail.ch>
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>
Diff between mvSLOUCH versions 2.0.6 dated 2019-05-10 and 2.0.7 dated 2019-08-01
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- R/estimBM.R | 13 ++++++++++++- R/evolmodelest.R | 15 ++++++++++----- R/getESS.R | 6 +++--- R/loglik.R | 4 ++-- R/phyltree_paths.R | 5 +++++ man/mvSLOUCH-package.Rd | 4 ++-- 8 files changed, 45 insertions(+), 24 deletions(-)
Title: Exploratory Data Analysis and Data Preparation Tool-Box Book
Description: Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.
Author: Pablo Casas [aut, cre]
Maintainer: Pablo Casas <pcasas.biz@gmail.com>
Diff between funModeling versions 1.7 dated 2019-02-13 and 1.8 dated 2019-08-01
DESCRIPTION | 16 +++++------ MD5 | 48 ++++++++++++++++++++++++++--------- NAMESPACE | 32 +++++++++++++++++++++++ R/discretize.R | 21 +++++++++++++-- R/funModeling.R | 10 +++++-- R/lares_model_plots.R |only build/vignette.rds |binary inst/doc/funModeling_quickstart.html | 15 +++++----- man/ROC.Rd |only man/auto_grouping.Rd | 3 +- man/compare_df.Rd | 3 +- man/cross_plot.Rd | 3 +- man/discretize_rgr.Rd | 4 +- man/dist2d.Rd |only man/errors.Rd |only man/funModeling-package.Rd | 2 - man/gg_colour_customs.Rd |only man/gg_fill_customs.Rd |only man/gg_text_customs.Rd |only man/lares_pal.Rd |only man/mae.Rd |only man/mape.Rd |only man/mplot_cuts.Rd |only man/mplot_cuts_error.Rd |only man/mplot_density.Rd |only man/mplot_full.Rd |only man/mplot_lineal.Rd |only man/mplot_metrics.Rd |only man/mplot_roc.Rd |only man/mplot_splits.Rd |only man/mse.Rd |only man/plot_palette.Rd |only man/rmse.Rd |only man/rsq.Rd |only man/rsqa.Rd |only man/scale_x_comma.Rd |only man/theme_lares.Rd |only man/theme_lares2.Rd |only 38 files changed, 119 insertions(+), 38 deletions(-)
Title: Machine Learning Models and Tools
Description: Meta-package for statistical and machine learning with a unified interface for model fitting, prediction, performance assessment, and presentation of results. Approaches for model fitting and prediction of numerical, categorical, or censored time-to-event outcomes include traditional regression models, regularization methods, tree-based methods, support vector machines, neural networks, ensembles, data preprocessing, filtering, and model tuning and selection. Performance metrics are provided for model assessment and can be estimated with independent test sets, split sampling, cross-validation, or bootstrap resampling. Resample estimation can be executed in parallel for faster processing and nested in cases of model tuning and selection. Modeling results can be summarized with descriptive statistics; calibration curves; variable importance; partial dependence plots; confusion matrices; and ROC, lift, and other performance curves.
Author: Brian J Smith [aut, cre]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>
Diff between MachineShop versions 1.4.0 dated 2019-06-08 and 1.5.0 dated 2019-08-01
DESCRIPTION | 10 MD5 | 148 ++++++------- NAMESPACE | 2 NEWS.md | 21 + R/AllClasses.R | 11 - R/MLMetric.R | 2 R/MLModel.R | 41 ++- R/ML_AdaBagModel.R | 4 R/ML_AdaBoostModel.R | 4 R/ML_BARTMachineModel.R | 4 R/ML_BARTModel.R | 4 R/ML_BlackBoostModel.R | 4 R/ML_C50Model.R | 4 R/ML_CForestModel.R | 4 R/ML_CoxModel.R | 8 R/ML_EarthModel.R | 4 R/ML_FDAModel.R | 4 R/ML_GAMBoostModel.R | 4 R/ML_GBMModel.R | 4 R/ML_GLMBoostModel.R | 4 R/ML_GLMModel.R | 8 R/ML_GLMNetModel.R | 4 R/ML_KNNModel.R | 6 R/ML_LARSModel.R | 4 R/ML_LDAModel.R | 4 R/ML_LMModel.R | 4 R/ML_MDAModel.R | 4 R/ML_NNetModel.R | 4 R/ML_NaiveBayesModel.R | 4 R/ML_PLSModel.R | 4 R/ML_POLRModel.R | 4 R/ML_QDAModel.R | 4 R/ML_RPartModel.R | 4 R/ML_RandomForestModel.R | 4 R/ML_RangerModel.R | 4 R/ML_SVMModel.R | 4 R/ML_SelectedModel.R |only R/ML_StackedModel.R | 11 - R/ML_SuperModel.R | 11 - R/ML_SurvRegModel.R | 8 R/ML_TreeModel.R | 4 R/ML_TunedModel.R |only R/ML_XGBModel.R | 4 R/MachineShop-package.R | 3 R/ModelFrame.R | 11 - R/expand.model.R | 2 R/fit.R | 4 R/grid.R | 4 R/metricinfo.R | 10 R/metrics.R | 12 + R/metrics_factor.R | 22 -- R/modelinfo.R | 12 - R/resample.R | 4 R/show.R | 4 R/tune.R | 67 +++--- R/utils.R | 46 ++++ README.md | 2 build/vignette.rds |binary inst/doc/Introduction.R | 41 ++- inst/doc/Introduction.Rmd | 56 +++-- inst/doc/Introduction.html | 493 +++++++++++++++++++++++++-------------------- inst/doc/MLModels.html | 15 + man/MLMetric.Rd | 2 man/MLModel.Rd | 27 +- man/MachineShop-package.Rd | 5 man/SelectedModel.Rd |only man/StackedModel.Rd | 3 man/SuperModel.Rd | 3 man/TunedModel.Rd |only man/expand.model.Rd | 2 man/fit-methods.Rd | 2 man/metricinfo.Rd | 4 man/modelinfo.Rd | 5 man/resample-methods.Rd | 4 man/tune-methods.Rd | 38 +-- tests/testthat/Rplots.pdf |binary vignettes/Introduction.Rmd | 56 +++-- 77 files changed, 767 insertions(+), 591 deletions(-)
Title: Read Large Text Files
Description: Read large text files by splitting them in smaller files.
Package bigreadr also provides some convenient wrappers of fread/fwrite.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>
Diff between bigreadr versions 0.1.6 dated 2019-07-04 and 0.1.7 dated 2019-08-01
DESCRIPTION | 9 +++++---- MD5 | 10 +++++----- R/read.R | 16 ++++++++-------- man/bigreadr-package.Rd | 1 + man/fread2.Rd | 8 ++++---- tests/testthat/test-read.R | 15 +++++++++------ 6 files changed, 32 insertions(+), 27 deletions(-)
Title: Zigzag Expanded Navigation Plots
Description: Graphical tools for visualizing high-dimensional data along a path
of alternating one- and two-dimensional plots. Note that this
includes interactive graphics plots based on 'loon' in turn based on tcltk
(included as part of the standard R distribution). It also requires 'graph' from Bioconductor.
Author: Marius Hofert [aut],
Wayne Oldford [aut, cre]
Maintainer: Wayne Oldford <rwoldford@uwaterloo.ca>
Diff between zenplots versions 0.0-4 dated 2019-03-31 and 1.0.0 dated 2019-08-01
zenplots-0.0-4/zenplots/TODO |only zenplots-0.0-4/zenplots/man/extract.Rd |only zenplots-0.0-4/zenplots/man/occupancy.Rd |only zenplots-0.0-4/zenplots/man/plots_graphics.Rd |only zenplots-0.0-4/zenplots/man/plots_grid.Rd |only zenplots-0.0-4/zenplots/man/plots_loon.Rd |only zenplots-1.0.0/zenplots/DESCRIPTION | 31 zenplots-1.0.0/zenplots/MD5 | 140 ++ zenplots-1.0.0/zenplots/NAMESPACE | 5 zenplots-1.0.0/zenplots/R/plot1dgraphics.R | 98 + zenplots-1.0.0/zenplots/R/plot1dgrid.R | 100 +- zenplots-1.0.0/zenplots/R/plot1dloon.R | 105 +- zenplots-1.0.0/zenplots/R/plot2dgraphics.R | 81 + zenplots-1.0.0/zenplots/R/plot2dgrid.R | 79 + zenplots-1.0.0/zenplots/R/plot2dloon.R | 73 + zenplots-1.0.0/zenplots/R/tools.R | 359 +++++-- zenplots-1.0.0/zenplots/R/zenpath.R | 348 +++++- zenplots-1.0.0/zenplots/R/zenplot.R | 800 +++++++++++++++- zenplots-1.0.0/zenplots/README.md |only zenplots-1.0.0/zenplots/build/vignette.rds |binary zenplots-1.0.0/zenplots/inst/doc/intro.R |only zenplots-1.0.0/zenplots/inst/doc/intro.Rmd |only zenplots-1.0.0/zenplots/inst/doc/intro.html |only zenplots-1.0.0/zenplots/inst/doc/selected_features.R | 9 zenplots-1.0.0/zenplots/inst/doc/selected_features.Rmd | 9 zenplots-1.0.0/zenplots/inst/doc/selected_features.html | 562 +++-------- zenplots-1.0.0/zenplots/man/adjust_bb.Rd |only zenplots-1.0.0/zenplots/man/arrow_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/arrow_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/arrow_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/arrow_2d_graphics.Rd |only zenplots-1.0.0/zenplots/man/arrow_2d_grid.Rd |only zenplots-1.0.0/zenplots/man/arrow_2d_loon.Rd |only zenplots-1.0.0/zenplots/man/as_numeric.Rd |only zenplots-1.0.0/zenplots/man/axes_2d_graphics.Rd |only zenplots-1.0.0/zenplots/man/axes_2d_grid.Rd |only zenplots-1.0.0/zenplots/man/axes_2d_loon.Rd |only zenplots-1.0.0/zenplots/man/boxplot_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/boxplot_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/boxplot_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/burst.Rd | 104 +- zenplots-1.0.0/zenplots/man/burst_aux.Rd |only zenplots-1.0.0/zenplots/man/check_zargs.Rd |only zenplots-1.0.0/zenplots/man/connect_pairs.Rd |only zenplots-1.0.0/zenplots/man/convert_occupancy.Rd |only zenplots-1.0.0/zenplots/man/density_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/density_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/density_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/density_2d_graphics.Rd |only zenplots-1.0.0/zenplots/man/density_2d_grid.Rd |only zenplots-1.0.0/zenplots/man/density_2d_loon.Rd |only zenplots-1.0.0/zenplots/man/extract_1d.Rd |only zenplots-1.0.0/zenplots/man/extract_2d.Rd |only zenplots-1.0.0/zenplots/man/extract_pairs.Rd |only zenplots-1.0.0/zenplots/man/figures |only zenplots-1.0.0/zenplots/man/get_layout.Rd |only zenplots-1.0.0/zenplots/man/get_path.Rd |only zenplots-1.0.0/zenplots/man/get_zigzag_turns.Rd |only zenplots-1.0.0/zenplots/man/graph_pairs.Rd |only zenplots-1.0.0/zenplots/man/groupData.Rd |only zenplots-1.0.0/zenplots/man/group_2d_graphics.Rd |only zenplots-1.0.0/zenplots/man/group_2d_grid.Rd |only zenplots-1.0.0/zenplots/man/group_2d_loon.Rd |only zenplots-1.0.0/zenplots/man/hist_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/hist_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/hist_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/indexData.Rd |only zenplots-1.0.0/zenplots/man/is.standard.Rd |only zenplots-1.0.0/zenplots/man/jitter_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/jitter_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/jitter_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/l_ispace_config.Rd |only zenplots-1.0.0/zenplots/man/label_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/label_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/label_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/label_2d_graphics.Rd |only zenplots-1.0.0/zenplots/man/label_2d_grid.Rd |only zenplots-1.0.0/zenplots/man/label_2d_loon.Rd |only zenplots-1.0.0/zenplots/man/layout_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/layout_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/layout_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/layout_2d_graphics.Rd |only zenplots-1.0.0/zenplots/man/layout_2d_grid.Rd |only zenplots-1.0.0/zenplots/man/layout_2d_loon.Rd |only zenplots-1.0.0/zenplots/man/lines_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/lines_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/lines_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/move.Rd |only zenplots-1.0.0/zenplots/man/n2dcols_aux.Rd |only zenplots-1.0.0/zenplots/man/na_omit_loon.Rd |only zenplots-1.0.0/zenplots/man/next_move_tidy.Rd |only zenplots-1.0.0/zenplots/man/num_cols.Rd |only zenplots-1.0.0/zenplots/man/plot_indices.Rd | 42 zenplots-1.0.0/zenplots/man/plot_region.Rd | 37 zenplots-1.0.0/zenplots/man/points_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/points_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/points_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/points_2d_graphics.Rd |only zenplots-1.0.0/zenplots/man/points_2d_grid.Rd |only zenplots-1.0.0/zenplots/man/points_2d_loon.Rd |only zenplots-1.0.0/zenplots/man/qq_2d_graphics.Rd |only zenplots-1.0.0/zenplots/man/qq_2d_grid.Rd |only zenplots-1.0.0/zenplots/man/rect_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/rect_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/rect_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/rect_2d_graphics.Rd |only zenplots-1.0.0/zenplots/man/rect_2d_grid.Rd |only zenplots-1.0.0/zenplots/man/rect_2d_loon.Rd |only zenplots-1.0.0/zenplots/man/rug_1d_graphics.Rd |only zenplots-1.0.0/zenplots/man/rug_1d_grid.Rd |only zenplots-1.0.0/zenplots/man/rug_1d_loon.Rd |only zenplots-1.0.0/zenplots/man/turn_checker.Rd |only zenplots-1.0.0/zenplots/man/unfold.Rd |only zenplots-1.0.0/zenplots/man/vport.Rd | 53 - zenplots-1.0.0/zenplots/man/zenarrow.Rd |only zenplots-1.0.0/zenplots/man/zenpath.Rd | 243 +--- zenplots-1.0.0/zenplots/man/zenplot.Rd | 695 +++++++------ zenplots-1.0.0/zenplots/vignettes/intro.Rmd |only zenplots-1.0.0/zenplots/vignettes/selected_features.Rmd | 9 119 files changed, 2664 insertions(+), 1318 deletions(-)
Title: Sitree Extensions
Description: Provides extensions for package 'sitree' for allometric variables, growth, mortality, recruitment, management, tree removal and external modifiers functions.
Author: Clara Anton Fernandez [aut, cre]
Maintainer: Clara Anton Fernandez <caf@nibio.no>
Diff between sitreeE versions 0.0-3 dated 2019-04-11 and 0.0-5 dated 2019-08-01
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++++++----- R/Biomass_Norway.R | 43 ++++++++++++++++++++----------------------- R/Biomass_Norway_sitree.R |only R/Biomass_sitree.R |only R/Volume_Norway.R |only R/Volume_sitree.R |only man/PlotDataToLong.Rd | 4 ++-- man/biomass.M1988.Rd | 4 ++-- man/biomass.Norway.Rd | 18 +++++------------- man/biomass.norway.sitree.Rd |only man/biomass.sitree.Rd |only man/volume.norway.Rd |only man/volume.sitree.Rd |only 14 files changed, 46 insertions(+), 49 deletions(-)
Title: New Plots Based on 'ggplot2' and Functions to Create Regular
Shapes
Description: An extension to 'ggplot2' with miscellaneous functions. It contains
two groups of functions: Functions in the first group draw 'ggplot2' - based plots: gg_shading_bar() draws barplot
with shading colors in each bar. geom_rect_cm(), geom_circle_cm() and geom_ellipse_cm() draw rectangles, circles
and ellipses with centimeter as their unit. Thus their sizes do not change when the coordinate system or the aspect ratio
changes. annotation_transparent_text() draws labels with transparent texts. annotation_shading_polygon() draws irregular
polygons with shading colors. Functions in the second group generate coordinates for regular shapes and make linear transformations.
Author: Jiang Wu [aut, cre] (from Capital Normal University)
Maintainer: Jiang Wu <textidea@sina.com>
Diff between plothelper versions 0.1.3 dated 2019-06-24 and 0.1.4 dated 2019-08-01
plothelper-0.1.3/plothelper/R/image_composite2.R |only plothelper-0.1.3/plothelper/R/repeat_as_list.R |only plothelper-0.1.3/plothelper/man/image_composite2.Rd |only plothelper-0.1.3/plothelper/man/repeat_as_list.Rd |only plothelper-0.1.4/plothelper/DESCRIPTION | 10 plothelper-0.1.4/plothelper/MD5 | 50 +- plothelper-0.1.4/plothelper/NAMESPACE | 3 plothelper-0.1.4/plothelper/R/ANYxy.R | 14 plothelper-0.1.4/plothelper/R/annotation_shading_polygon.R | 223 +++++++--- plothelper-0.1.4/plothelper/R/annotation_transparent_text.R | 174 ++++++- plothelper-0.1.4/plothelper/R/ellipsexy.R | 9 plothelper-0.1.4/plothelper/R/enlarge_raster.R | 14 plothelper-0.1.4/plothelper/R/get_gg_label.R |only plothelper-0.1.4/plothelper/R/rectxy.R | 10 plothelper-0.1.4/plothelper/R/resize_to_standard.R | 2 plothelper-0.1.4/plothelper/R/round_text.R | 45 +- plothelper-0.1.4/plothelper/R/scale_free.R | 54 +- plothelper-0.1.4/plothelper/R/showcolor.R | 22 plothelper-0.1.4/plothelper/R/textgif.R | 35 - plothelper-0.1.4/plothelper/man/annotation_shading_polygon.Rd | 69 ++- plothelper-0.1.4/plothelper/man/annotation_transparent_text.Rd | 89 +++ plothelper-0.1.4/plothelper/man/ellipsexy.Rd | 5 plothelper-0.1.4/plothelper/man/enlarge_raster.Rd | 6 plothelper-0.1.4/plothelper/man/get_gg_label.Rd |only plothelper-0.1.4/plothelper/man/rectxy.Rd | 5 plothelper-0.1.4/plothelper/man/resize_to_standard.Rd | 2 plothelper-0.1.4/plothelper/man/round_text.Rd | 8 plothelper-0.1.4/plothelper/man/scale_free.Rd | 19 plothelper-0.1.4/plothelper/man/textgif.Rd | 22 29 files changed, 645 insertions(+), 245 deletions(-)
Title: Efficient Designs for Discrete Choice Experiments
Description: Generates efficient designs for discrete choice experiments based on the multinomial logit model, and individually adapted designs for the mixed multinomial logit model. The generated designs can be presented on screen and choice data can be gathered using a shiny application. Crabbe M, Akinc D and Vandebroek M (2014) <doi:10.1016/j.trb.2013.11.008>.
Author: Frits Traets [aut, cre],
Daniel Gil [ctb]
Maintainer: Frits Traets <frits.traets@kuleuven.be>
Diff between idefix versions 0.3.3 dated 2018-11-09 and 0.4.0 dated 2019-08-01
idefix-0.3.3/idefix/man/SeqDB.Rd |only idefix-0.4.0/idefix/DESCRIPTION | 20 idefix-0.4.0/idefix/MD5 | 72 +- idefix-0.4.0/idefix/NAMESPACE | 6 idefix-0.4.0/idefix/R/CEA.R |only idefix-0.4.0/idefix/R/Fullsets_ucpp.R | 106 +++- idefix-0.4.0/idefix/R/RcppExports.R | 8 idefix-0.4.0/idefix/R/data.R | 20 idefix-0.4.0/idefix/R/efficiency_algorithms.R | 540 +++++++++++++-------- idefix-0.4.0/idefix/R/efficiency_criterions.R | 113 ++-- idefix-0.4.0/idefix/R/efficiency_criterions_ucpp.R | 6 idefix-0.4.0/idefix/R/estimation_support.R | 22 idefix-0.4.0/idefix/R/generation.R | 17 idefix-0.4.0/idefix/R/idefix.R | 13 idefix-0.4.0/idefix/R/importance_sampling.R | 14 idefix-0.4.0/idefix/R/shiny_support.R | 183 ++++--- idefix-0.4.0/idefix/build/partial.rdb |binary idefix-0.4.0/idefix/inst/REFERENCES.bib | 27 + idefix-0.4.0/idefix/man/CEA.Rd |only idefix-0.4.0/idefix/man/DBerr.Rd | 4 idefix-0.4.0/idefix/man/Datatrans.Rd | 8 idefix-0.4.0/idefix/man/Decode.Rd | 14 idefix-0.4.0/idefix/man/ImpsampMNL.Rd | 8 idefix-0.4.0/idefix/man/LoadData.Rd | 7 idefix-0.4.0/idefix/man/Modfed.Rd | 29 - idefix-0.4.0/idefix/man/Profiles.Rd | 8 idefix-0.4.0/idefix/man/RespondMNL.Rd | 12 idefix-0.4.0/idefix/man/SeqCEA.Rd |only idefix-0.4.0/idefix/man/SeqKL.Rd |only idefix-0.4.0/idefix/man/SeqMOD.Rd |only idefix-0.4.0/idefix/man/SurveyApp.Rd | 54 +- idefix-0.4.0/idefix/man/aggregate_design.Rd | 8 idefix-0.4.0/idefix/man/example_design.Rd | 4 idefix-0.4.0/idefix/man/example_design2.Rd | 4 idefix-0.4.0/idefix/man/idefix-package.Rd | 18 idefix-0.4.0/idefix/man/nochoice_design.Rd | 4 idefix-0.4.0/idefix/src/InfoDes_cpp.cpp | 81 +-- idefix-0.4.0/idefix/src/RcppExports.cpp | 27 - idefix-0.4.0/idefix/tests |only 39 files changed, 919 insertions(+), 538 deletions(-)
Title: Mathematical Modelling of (Dynamic) Microbial Inactivation
Description: Functions for modelling microbial inactivation under
isothermal or dynamic conditions. The calculations are based on several mathematical models broadly
used by the scientific community and industry. Functions enable to make predictions for cases where the
kinetic parameters are known. It also implements functions for parameter estimation for isothermal and
dynamic conditions. The model fitting capabilities include an Adaptive Monte Carlo method for a Bayesian
approach to parameter estimation.
Author: Alberto Garre [aut, cre],
Pablo S. Fernandez [aut],
Jose A. Egea [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>
Diff between bioinactivation versions 1.2.2 dated 2019-06-05 and 1.2.3 dated 2019-08-01
bioinactivation-1.2.2/bioinactivation/README.md |only bioinactivation-1.2.3/bioinactivation/DESCRIPTION | 22 bioinactivation-1.2.3/bioinactivation/MD5 | 38 - bioinactivation-1.2.3/bioinactivation/NAMESPACE | 8 bioinactivation-1.2.3/bioinactivation/NEWS.md | 8 bioinactivation-1.2.3/bioinactivation/R/AIC_functions.R |only bioinactivation-1.2.3/bioinactivation/R/dynamic_fit.R | 1 bioinactivation-1.2.3/bioinactivation/R/fit_MCMC.R | 2 bioinactivation-1.2.3/bioinactivation/R/isothermal_fit.R | 3 bioinactivation-1.2.3/bioinactivation/R/make_predictions.R | 1 bioinactivation-1.2.3/bioinactivation/R/time_to_reduction.R |only bioinactivation-1.2.3/bioinactivation/inst/doc/inactivation.R | 101 -- bioinactivation-1.2.3/bioinactivation/inst/doc/inactivation.Rmd | 167 ---- bioinactivation-1.2.3/bioinactivation/inst/doc/inactivation.html | 345 +++------- bioinactivation-1.2.3/bioinactivation/man/fit_dynamic_inactivation.Rd | 1 bioinactivation-1.2.3/bioinactivation/man/fit_inactivation_MCMC.Rd | 2 bioinactivation-1.2.3/bioinactivation/man/fit_isothermal_inactivation.Rd | 3 bioinactivation-1.2.3/bioinactivation/man/goodness_MCMC.Rd |only bioinactivation-1.2.3/bioinactivation/man/goodness_dyna.Rd |only bioinactivation-1.2.3/bioinactivation/man/goodness_iso.Rd |only bioinactivation-1.2.3/bioinactivation/man/goodness_of_fit.Rd |only bioinactivation-1.2.3/bioinactivation/man/predict_inactivation.Rd | 1 bioinactivation-1.2.3/bioinactivation/man/time_to_logreduction.Rd |only bioinactivation-1.2.3/bioinactivation/vignettes/inactivation.Rmd | 167 ---- 24 files changed, 265 insertions(+), 605 deletions(-)
More information about bioinactivation at CRAN
Permanent link
Title: Test Replications by Means of the Prior Predictive p-Value
Description: Allows for the computation of a prior predictive p-value to test replication of relevant features of original studies. Relevant features are captured in informative hypotheses. The package also allows for the computation of power. The statistical underpinnings are described in Zondervan-Zwijnenburg (2019) <doi:10.31234/osf.io/uvh5s>.
Author: M.A.J. Zondervan-Zwijnenburg [aut, cre],
Herbert Hoijtink [ths],
Caspar J van Lissa [ctb],
Consortium Individual Development [fnd] (NWO grant number 024.001.003)
Maintainer: M.A.J. Zondervan-Zwijnenburg <m.a.j.zwijnenburg@uu.nl>
Diff between Replication versions 0.1.0 dated 2019-03-13 and 0.1.1 dated 2019-08-01
DESCRIPTION | 6 +++--- MD5 | 22 +++++++++++----------- R/create_matrices.R | 7 +++++-- R/llratio.R | 3 ++- R/posterior.step1.R | 11 ++++++----- R/ppc.step1.R | 6 +++--- R/ppc.step2step3.R | 44 +++++++++++++++++++++++++++++++++++++------- man/llratio.imp.Rd | 20 ++++++++++++++------ man/posterior.step1.Rd | 3 ++- man/ppc.plot.Rd | 15 +++++++++++---- man/ppc.step1.Rd | 3 ++- man/ppc.step2step3.Rd | 22 +++++++++++++++------- 12 files changed, 111 insertions(+), 51 deletions(-)
Title: R Interface to 'TensorFlow'
Description: Interface to 'TensorFlow' <https://www.tensorflow.org/>,
an open source software library for numerical computation using data
flow graphs. Nodes in the graph represent mathematical operations,
while the graph edges represent the multidimensional data arrays
(tensors) communicated between them. The flexible architecture allows
you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop,
server, or mobile device with a single 'API'. 'TensorFlow' was originally
developed by researchers and engineers working on the Google Brain Team
within Google's Machine Intelligence research organization for the
purposes of conducting machine learning and deep neural networks research,
but the system is general enough to be applicable in a wide variety
of other domains as well.
Author: Daniel Falbel [ctb, cph, cre],
JJ Allaire [aut, cph],
RStudio [cph, fnd],
Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>),
Dirk Eddelbuettel [ctb, cph],
Nick Golding [ctb, cph],
Tomasz Kalinowski [ctb, cph],
Google Inc. [ctb, cph] (Examples and Tutorials)
Maintainer: Daniel Falbel <daniel@rstudio.com>
Diff between tensorflow versions 1.13.1 dated 2019-04-05 and 1.14.0 dated 2019-08-01
DESCRIPTION | 6 MD5 | 19 - NAMESPACE | 1 NEWS.md | 4 R/eager.R | 33 ++ R/install.R | 627 ++++--------------------------------------- R/package.R | 2 R/seed.R | 2 man/install_tensorflow.Rd | 15 - man/tf_function.Rd |only man/use_session_with_seed.Rd | 2 11 files changed, 135 insertions(+), 576 deletions(-)
Title: Convert Tibbles or Data Frames to Xts Easily
Description: Facilitate the movement between data frames to 'xts'. Particularly
useful when moving from 'tidyverse' to the widely used 'xts' package, which is
the input format of choice to various other packages. It also allows the user
to use a 'spread_by' argument for a character column 'xts' conversion.
Author: Nico Katzke [aut, cre]
Maintainer: Nico Katzke <nfkatzke@gmail.com>
Diff between tbl2xts versions 0.1.2 dated 2017-08-02 and 0.1.3 dated 2019-08-01
DESCRIPTION | 15 +- MD5 | 20 +-- R/tbl_xts.R | 12 +- R/xts_tbl.R | 7 - README.md | 76 ++++++++++++-- build/vignette.rds |binary inst/doc/tbl2xts_vignette.Rmd | 21 ++++ inst/doc/tbl2xts_vignette.html | 213 ++++++++++++++++++++++++++++++++++++++++- man/tbl_xts.Rd | 6 + man/xts_tbl.Rd | 4 vignettes/tbl2xts_vignette.Rmd | 21 ++++ 11 files changed, 358 insertions(+), 37 deletions(-)
Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the
NIfTI-1 and ANALYZE-7.5 formats, with seamless synchronisation between
compiled C and interpreted R code. Also provides a C/C++ API that can be
used by other packages. Not to be confused with 'RNiftyReg', which performs
image registration.
Author: Jon Clayden [cre, aut],
Bob Cox [aut],
Mark Jenkinson [aut],
Matt Hall [ctb],
Rick Reynolds [ctb],
Kate Fissell [ctb],
Jean-loup Gailly [cph],
Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>
Diff between RNifti versions 0.11.0 dated 2019-06-17 and 0.11.1 dated 2019-08-01
DESCRIPTION | 10 ++++---- MD5 | 12 ++++----- NEWS | 8 ++++++ R/nifti.R | 11 ++++++++ inst/include/lib/NiftiImage_impl.h | 46 +++++++++++++++++++++++++++++++------ man/updateNifti.Rd | 13 +++++++++- tests/testthat/test-05-nifti.R | 12 +++++++++ 7 files changed, 92 insertions(+), 20 deletions(-)
Title: Single Tree Simulator
Description: Forecasts plots at tree level.
Author: Clara Anton Fernandez [aut, cre]
Maintainer: Clara Anton Fernandez <caf@nibio.no>
Diff between sitree versions 0.1-6 dated 2019-04-11 and 0.1-7 dated 2019-08-01
DESCRIPTION | 16 ++++----- MD5 | 42 ++++++++++++------------- R/FuruVol.R | 4 +- R/FuruVolV.R | 4 +- R/GranVol.R | 4 +- R/GranVolV.R | 4 +- R/LauvVol.R | 11 +++--- R/TreeClasses.R | 2 - R/grow.dbhinc.hgtinc.R | 5 +-- R/sitree.R | 63 -------------------------------------- R/sitree2dataframe.R | 3 + build/vignette.rds |binary data/StandWestTr.RData |binary inst/doc/TestEquations.R | 26 ++++++++-------- inst/doc/TestEquations.Rmd | 30 +++++++++--------- inst/doc/TestEquations.html | 65 ++++++++++++++++------------------------ man/grow.dbhinc.hgtinc.Rd | 4 +- man/recover.last.measurement.Rd | 4 +- man/sitree.Rd | 8 ++-- man/sitree2dataframe.Rd | 4 +- man/sitreesummary.Rd | 4 +- vignettes/TestEquations.Rmd | 30 +++++++++--------- 22 files changed, 128 insertions(+), 205 deletions(-)
Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary
differential equation (ODE) models, such as pharmacometrics and other
compartmental models. A compilation manager translates the ODE model
into C, compiles it, and dynamically loads the object code into R for
improved computational efficiency. An event table object facilitates
the specification of complex dosing regimens (optional) and sampling
schedules. NB: The use of this package requires both C and
Fortran compilers, for details on their use with R please see
Section 6.3, Appendix A, and Appendix D in the "R Administration and
Installation" manual. Also the code is mostly released under GPL. The
VODE and LSODA are in the public domain. The information is available
in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>),
Melissa Hallow [aut],
Wenping Wang [aut, cre],
Zufar Mulyukov [ctb],
Justin Wilkins [ctb] (<https://orcid.org/0000-0002-7099-9396>),
Simon Frost [ctb],
Heng Li [ctb],
Yu Feng [ctb],
Alan Hindmarsh [ctb],
Linda Petzold [ctb],
Ernst Hairer [ctb],
Gerhard Wanner [ctb],
J Colinge [ctb],
Hadley Wickham [ctb],
G Grothendieck [ctb],
Robert Gentleman [ctb],
Ross Ihaka [ctb],
R core team [cph],
odepack authors [cph]
Maintainer: Wenping Wang <wwang8198@gmail.com>
Diff between RxODE versions 0.9.1-1 dated 2019-07-26 and 0.9.1-2 dated 2019-08-01
DESCRIPTION | 6 - MD5 | 50 +++++----- inst/doc/RxODE-cmt.html | 18 +-- inst/doc/RxODE-covariates.html | 22 +--- inst/doc/RxODE-data-frame.html | 16 +-- inst/doc/RxODE-events.html | 72 +++++++-------- inst/doc/RxODE-intro.html | 14 +- inst/doc/RxODE-model-types.html | 14 +- inst/doc/RxODE-rxUse.html | 4 inst/doc/RxODE-shiny.html | 8 - inst/doc/RxODE-stiff.html | 10 -- inst/doc/RxODE-syntax.html | 8 - inst/doc/RxODE-transit-compartments.html | 10 -- src/dop853.c | 61 ++++++------ src/et.cpp | 147 +++++++++++++++++++++---------- src/par_solve.c | 8 + src/rxData.cpp | 66 ++++++------- src/tran.c | 3 tests/testthat/test-alag.R | 6 - tests/testthat/test-bioavailibility.R | 4 tests/testthat/test-example-3-1.R | 5 - tests/testthat/test-model-rate.R | 5 - tests/testthat/test-newind.R | 5 - tests/testthat/test-off.R | 5 - tests/testthat/test-reset.R | 5 - tests/testthat/test-steady-state.R | 5 - 26 files changed, 306 insertions(+), 271 deletions(-)
Title: The R to MOSEK Optimization Interface
Description: This is a meta-package designed to support the
installation of Rmosek (>= 6.0) and bring the optimization
facilities of MOSEK (>= 6.0) to the R-language. The interface
supports large-scale optimization of many kinds: Mixed-integer
and continuous linear, second-order cone, exponential cone and
power cone optimization, as well as continuous semidefinite
optimization. Rmosek and the R-language are open-source
projects. MOSEK is a proprietary product, but unrestricted
trial and academic licenses are available.
Author: MOSEK ApS
Maintainer: Henrik A. Friberg <haf@mosek.com>
Diff between Rmosek versions 1.3.4 dated 2019-04-29 and 1.3.5 dated 2019-08-01
DESCRIPTION | 22 ++++++++++++---------- MD5 | 8 ++++---- NEWS | 6 ++++++ R/builder.R | 2 +- R/export.R | 25 +++++++++++++++++++------ 5 files changed, 42 insertions(+), 21 deletions(-)
Title: Qualitative Palettes with Many Colors
Description: Tools for creating, viewing, and assessing qualitative
palettes with many (20-30 or more) colors. See Coombes and colleagues
(2019) <doi:10.18637/jss.v090.c01>.
Author: Kevin R. Coombes, Guy Brock
Maintainer: Kevin R. Coombes <krc@silicovore.com>
Diff between Polychrome versions 1.2.2 dated 2019-05-06 and 1.2.3 dated 2019-08-01
DESCRIPTION | 11 - MD5 | 19 - inst/CITATION |only inst/doc/color-deficits.html | 396 +++++++++++++++++++++++++++++---------- inst/doc/creatingPalettes.html | 414 ++++++++++++++++++++++++++++++----------- inst/doc/polychrome.html | 328 ++++++++++++++++++++++++++------ man/alphabet.Rd | 4 man/createPalette.Rd | 4 man/distances.Rd | 5 man/palette36.Rd | 4 man/palettes.Rd | 9 11 files changed, 917 insertions(+), 277 deletions(-)
Title: R Interface for 'H2O'
Description: R interface for 'H2O', the scalable open source machine learning
platform that offers parallelized implementations of many supervised and
unsupervised machine learning algorithms such as Generalized Linear
Models, Gradient Boosting Machines (including XGBoost), Random Forests,
Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox
Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic
machine learning algorithm (AutoML).
Author: Erin LeDell [aut, cre],
Navdeep Gill [aut],
Spencer Aiello [aut],
Anqi Fu [aut],
Arno Candel [aut],
Cliff Click [aut],
Tom Kraljevic [aut],
Tomas Nykodym [aut],
Patrick Aboyoun [aut],
Michal Kurka [aut],
Michal Malohlava [aut],
Ludi Rehak [ctb],
Eric Eckstrand [ctb],
Brandon Hill [ctb],
Sebastian Vidrio [ctb],
Surekha Jadhawani [ctb],
Amy Wang [ctb],
Raymond Peck [ctb],
Wendy Wong [ctb],
Jan Gorecki [ctb],
Matt Dowle [ctb],
Yuan Tang [ctb],
Lauren DiPerna [ctb],
H2O.ai [cph, fnd]
Maintainer: Erin LeDell <erin@h2o.ai>
Diff between h2o versions 3.24.0.5 dated 2019-06-21 and 3.26.0.2 dated 2019-08-01
DESCRIPTION | 18 - MD5 | 85 +++++---- NAMESPACE | 7 R/automl.R | 146 ++++++++++++---- R/classes.R | 48 ++++- R/communication.R | 24 -- R/connection.R | 38 ++-- R/deeplearning.R | 11 - R/deepwater.R | 11 - R/gbm.R | 19 +- R/generic.R | 10 - R/glm.R | 6 R/isolationforest.R | 16 + R/kvstore.R | 17 - R/logging.R | 8 R/models.R | 309 ++++++++++++++++++++++++++++++---- R/predict.R | 14 + R/psvm.R |only R/randomforest.R | 11 - R/xgboost.R | 11 - inst/branch.txt | 2 inst/buildnum.txt | 2 inst/java |only man/Keyed-class.Rd |only man/aaa.Rd | 6 man/feature_frequencies.H2OModel.Rd |only man/h2o-package.Rd | 6 man/h2o.automl.Rd | 6 man/h2o.deeplearning.Rd | 11 - man/h2o.deepwater.Rd | 11 - man/h2o.gbm.Rd | 25 +- man/h2o.generic.Rd | 4 man/h2o.genericModel.Rd | 4 man/h2o.glm.Rd | 8 man/h2o.isolationForest.Rd | 15 + man/h2o.keyof.Rd |only man/h2o.mojo_predict_csv.Rd | 4 man/h2o.mojo_predict_df.Rd | 5 man/h2o.partialPlot.Rd | 9 man/h2o.predict.Rd |only man/h2o.psvm.Rd |only man/h2o.randomForest.Rd | 13 - man/h2o.rm.Rd | 4 man/h2o.varsplits.Rd |only man/h2o.xgboost.Rd | 11 - man/predict.H2OAutoML.Rd | 3 man/predict.H2OModel.Rd | 4 man/predict_contributions.H2OModel.Rd | 2 48 files changed, 701 insertions(+), 263 deletions(-)
Title: Three-Way Correspondence Analysis Variants
Description: Provides four variants of three-way correspondence analysis (ca):
three-way symmetrical ca, three-way non-symmetrical ca, three-way ordered symmetrical ca
and three-way ordered non-symmetrical ca.
Author: Rosaria Lombardo, Eric J Beh and Michel van de Velden
Maintainer: Rosaria Lombardo <rosaria.lombardo@unicampania.it>
Diff between CA3variants versions 1.0 dated 2018-09-17 and 2.0 dated 2019-08-01
DESCRIPTION | 18 ++-- MD5 | 44 ++++++---- NAMESPACE | 8 + R/CA3variants.R | 34 +++++-- R/chi3ordered.R | 10 +- R/makeindicator.R |only R/newcomp3.R | 15 +-- R/onsca3basic.R |only R/plot.CA3variants.R | 201 ++++++++++++++++++++++++++++------------------- R/print.CA3variants.R | 17 +++ R/simulabootsimple.R |only R/simulabootstrat.R |only R/tau3ordered.R |only R/threewayboot.R |only R/tunelocal.R |only data/happy.rda |binary data/olive.rda |binary man/CA3variants.Rd | 9 +- man/chi3ordered.Rd | 6 - man/makeindicator.Rd |only man/oca3basic.Rd | 2 man/olive.Rd | 8 - man/onsca3basic.Rd |only man/plot.CA3variants.Rd | 22 ++--- man/print.CA3variants.Rd | 30 ++++--- man/simulabootsimple.Rd |only man/simulabootstrat.Rd |only man/tau3ordered.Rd |only man/threewayboot.Rd |only man/tunelocal.Rd |only 30 files changed, 264 insertions(+), 160 deletions(-)
Title: Learn Computer and Data Science using Algorithmic Trading
Description: Provide sets of functions and methods to learn and practice data science using idea of algorithmic trading.
Main goal is to process information within "Decision Support System" to come up with analysis or predictions.
There are several utilities such as dynamic and adaptive risk management using reinforcement learning
and even functions to generate predictions of price changes using pattern recognition deep regression learning.
Author: Vladimir Zhbanko
Maintainer: Vladimir Zhbanko <vladimir.zhbanko@gmail.com>
Diff between lazytrade versions 0.3.3 dated 2019-07-18 and 0.3.4 dated 2019-08-01
DESCRIPTION | 12 +++---- MD5 | 14 ++++---- NEWS.md | 8 ++++ R/record_policy.R | 28 ++++++++++------ R/record_policy_mt.R | 28 +++++++++------- README.md | 80 +++++++++++++++++++++++++++++++++++++----------- man/record_policy.Rd | 12 +++++-- man/record_policy_mt.Rd | 17 ++++++---- 8 files changed, 136 insertions(+), 63 deletions(-)
Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation and rendering of R markdown instructions for interpretative output.
Author: David W. Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>
Diff between lessR versions 3.8.6 dated 2019-06-04 and 3.8.8 dated 2019-08-01
lessR-3.8.6/lessR/R/doFactors.R |only lessR-3.8.8/lessR/DESCRIPTION | 8 - lessR-3.8.8/lessR/MD5 | 63 +++----- lessR-3.8.8/lessR/NAMESPACE | 2 lessR-3.8.8/lessR/NEWS | 56 +++++++ lessR-3.8.8/lessR/R/BarChart.R | 22 ++ lessR-3.8.8/lessR/R/Density.R | 40 +---- lessR-3.8.8/lessR/R/Histogram.R | 256 ++++++++++++++++++++++----------- lessR-3.8.8/lessR/R/Plot.R | 5 lessR-3.8.8/lessR/R/Regression.R | 3 lessR-3.8.8/lessR/R/bc.zmain.R | 3 lessR-3.8.8/lessR/R/dn.zmain.R | 41 +++-- lessR-3.8.8/lessR/R/plt.zadd.R | 6 lessR-3.8.8/lessR/R/plt.zlattice.R | 2 lessR-3.8.8/lessR/R/plt.zmain.R | 9 - lessR-3.8.8/lessR/R/plt.zmat.R | 4 lessR-3.8.8/lessR/R/reg.z3dnResidual.R | 6 lessR-3.8.8/lessR/R/reg.zRmd.R | 12 - lessR-3.8.8/lessR/R/simCLT.R | 8 - lessR-3.8.8/lessR/R/style.R | 31 +++ lessR-3.8.8/lessR/R/zzz.R | 12 - lessR-3.8.8/lessR/man/BarChart.Rd | 3 lessR-3.8.8/lessR/man/Density.Rd | 26 +-- lessR-3.8.8/lessR/man/Histogram.Rd | 39 +++++ lessR-3.8.8/lessR/man/LineChart.Rd | 2 lessR-3.8.8/lessR/man/Logit.Rd | 4 lessR-3.8.8/lessR/man/Plot.Rd | 7 lessR-3.8.8/lessR/man/Regression.Rd | 24 ++- lessR-3.8.8/lessR/man/Write.Rd | 16 +- lessR-3.8.8/lessR/man/corCFA.Rd | 2 lessR-3.8.8/lessR/man/factors.Rd | 3 lessR-3.8.8/lessR/man/simCLT.Rd | 2 lessR-3.8.8/lessR/man/style.Rd | 6 33 files changed, 481 insertions(+), 242 deletions(-)
Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: José Pinheiro [aut] (S version),
Douglas Bates [aut] (up to 2007),
Saikat DebRoy [ctb] (up to 2002),
Deepayan Sarkar [ctb] (up to 2005),
EISPACK authors [ctb] (src/rs.f),
Siem Heisterkamp [ctb] (Author fixed sigma),
Bert Van Willigen [ctb] (Programmer fixed sigma),
R-core [aut, cre]
Maintainer: R-core <R-core@R-project.org>
Diff between nlme versions 3.1-140 dated 2019-05-12 and 3.1-141 dated 2019-08-01
nlme-3.1-140/nlme/INDEX |only nlme-3.1-141/nlme/ChangeLog | 10 +++ nlme-3.1-141/nlme/DESCRIPTION | 8 +- nlme-3.1-141/nlme/MD5 | 91 +++++++++++++++---------------- nlme-3.1-141/nlme/R/lme.R | 3 - nlme-3.1-141/nlme/data/Alfalfa.rda |binary nlme-3.1-141/nlme/data/Assay.rda |binary nlme-3.1-141/nlme/data/BodyWeight.rda |binary nlme-3.1-141/nlme/data/Cefamandole.rda |binary nlme-3.1-141/nlme/data/Dialyzer.rda |binary nlme-3.1-141/nlme/data/Earthquake.rda |binary nlme-3.1-141/nlme/data/Fatigue.rda |binary nlme-3.1-141/nlme/data/Gasoline.rda |binary nlme-3.1-141/nlme/data/Glucose.rda |binary nlme-3.1-141/nlme/data/Glucose2.rda |binary nlme-3.1-141/nlme/data/Gun.rda |binary nlme-3.1-141/nlme/data/IGF.rda |binary nlme-3.1-141/nlme/data/Machines.rda |binary nlme-3.1-141/nlme/data/MathAchSchool.rda |binary nlme-3.1-141/nlme/data/MathAchieve.rda |binary nlme-3.1-141/nlme/data/Meat.rda |binary nlme-3.1-141/nlme/data/Milk.rda |binary nlme-3.1-141/nlme/data/Muscle.rda |binary nlme-3.1-141/nlme/data/Nitrendipene.rda |binary nlme-3.1-141/nlme/data/Oats.rda |binary nlme-3.1-141/nlme/data/Orthodont.rda |binary nlme-3.1-141/nlme/data/Ovary.rda |binary nlme-3.1-141/nlme/data/Oxboys.rda |binary nlme-3.1-141/nlme/data/Oxide.rda |binary nlme-3.1-141/nlme/data/PBG.rda |binary nlme-3.1-141/nlme/data/Phenobarb.rda |binary nlme-3.1-141/nlme/data/Pixel.rda |binary nlme-3.1-141/nlme/data/Quinidine.rda |binary nlme-3.1-141/nlme/data/Rail.rda |binary nlme-3.1-141/nlme/data/RatPupWeight.rda |binary nlme-3.1-141/nlme/data/Relaxin.rda |binary nlme-3.1-141/nlme/data/Remifentanil.rda |binary nlme-3.1-141/nlme/data/Soybean.rda |binary nlme-3.1-141/nlme/data/Spruce.rda |binary nlme-3.1-141/nlme/data/Tetracycline1.rda |binary nlme-3.1-141/nlme/data/Tetracycline2.rda |binary nlme-3.1-141/nlme/data/Wafer.rda |binary nlme-3.1-141/nlme/data/Wheat.rda |binary nlme-3.1-141/nlme/data/Wheat2.rda |binary nlme-3.1-141/nlme/data/bdf.rda |binary nlme-3.1-141/nlme/data/ergoStool.rda |binary nlme-3.1-141/nlme/tests/nlme2.R | 4 + 47 files changed, 64 insertions(+), 52 deletions(-)
Title: Allows you to Easily Interact with the Algorithmia Platform
Description: The company, Algorithmia, houses the largest marketplace of online
algorithms. This package essentially holds a bunch of REST wrappers that
make it very easy to call algorithms in the Algorithmia platform and access
files and directories in the Algorithmia data API. To learn more about the
services they offer and the algorithms in the platform visit
<http://algorithmia.com>. More information for developers can be found at
<http://developers.algorithmia.com>.
Author: James Sutton, James Athappilly
Maintainer: James Athappilly <jamesa@algorithmia.com>
Diff between algorithmia versions 0.0.2 dated 2016-09-13 and 0.2.0 dated 2019-08-01
DESCRIPTION | 20 +++++++------- LICENSE | 2 - MD5 | 33 +++++++++++++----------- NAMESPACE | 3 +- R/AlgorithmHandler.r |only build/vignette.rds |binary inst/doc/introduction-to-algorithmia.html | 41 +++++++++++++++++++++++++----- man/AlgorithmiaAcl-class.Rd | 2 - man/AlgorithmiaAlgorithm-class.Rd | 3 +- man/AlgorithmiaClient-class.Rd | 3 +- man/AlgorithmiaDataDirectory-class.Rd | 3 +- man/AlgorithmiaDataFile-class.Rd | 3 +- man/AlgorithmiaDirectoryIterator-class.Rd | 3 +- man/ReadAcl.MY_ALGORITHMS.Rd | 1 man/ReadAcl.PRIVATE.Rd | 1 man/ReadAcl.PUBLIC.Rd | 1 man/getAlgorithmHandler.Rd |only man/getAlgorithmiaClient.Rd | 4 +- tools |only 19 files changed, 79 insertions(+), 44 deletions(-)
Title: Predicting Economic Variables using Dynamic Factor Models
Description: It contains the tools to implement dynamic factor models to forecast economic variables. The user will be able to construct pseudo real time vintages, use information criteria for determining the number of factors and shocks, estimate the model, and visualize results among other things.
Author: Daiane Marcolino de Mattos [aut, cre],
Pedro Costa Ferreira [aut],
Serge de Valk [aut],
Guilherme Branco Gomes [aut]
Maintainer: Daiane Marcolino de Mattos <daiane.mattos@fgv.br>
Diff between nowcasting versions 1.1.3 dated 2019-06-12 and 1.1.4 dated 2019-08-01
DESCRIPTION | 8 ++-- MD5 | 8 ++-- R/method_2s.R | 5 +-- R/nowcast.R | 93 +++++++++++++++++++++++++++++++-------------------------- data/NYFED.rda |binary 5 files changed, 62 insertions(+), 52 deletions(-)