Sat, 21 Jul 2018

New package wdman with initial version 0.2.4
Package: wdman
Type: Package
Title: 'Webdriver'/'Selenium' Binary Manager
Version: 0.2.4
Authors@R: c( person("John", "Harrison", , "johndharrison0@gmail.com", role = "aut", comment = "original author"), person("Ju Yeong", "Kim", , "jkim2345@fredhutch.org", role = "cre", comment = "rOpenSci maintainer"))
Description: There are a number of binary files associated with the 'Webdriver'/'Selenium' project (see <http://www.seleniumhq.org/download/>, <https://sites.google.com/a/chromium.org/chromedriver/>, <https://github.com/mozilla/geckodriver>, <http://phantomjs.org/download.html> and <https://github.com/SeleniumHQ/selenium/wiki/InternetExplorerDriver> for more information). This package provides functions to download these binaries and to manage processes involving them.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2)
Suggests: testthat, covr, knitr, rmarkdown
Imports: binman, assertthat, subprocess (>= 0.8.0), yaml, semver(>= 0.2.0), utils
URL: https://github.com/ropensci/wdman
URLNote: https://github.com/ropensci/wdman
BugReports: https://github.com/ropensci/wdman/issues
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-07-21 17:32:38 UTC; jkim
Author: John Harrison [aut] (original author), Ju Yeong Kim [cre] (rOpenSci maintainer)
Maintainer: Ju Yeong Kim <jkim2345@fredhutch.org>
Repository: CRAN
Date/Publication: 2018-07-21 21:50:03 UTC

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Package statnetWeb updated to version 0.5.0 with previous version 0.4.0 dated 2015-11-05

Title: A Graphical User Interface for Network Modeling with 'Statnet'
Description: A graphical user interface for network modeling with the 'statnet' software.
Author: Martina Morris [cre, aut], Emily Beylerian [aut], Kirk Li [ctb], Samuel Jenness [ctb]
Maintainer: Martina Morris <morrism@uw.edu>

Diff between statnetWeb versions 0.4.0 dated 2015-11-05 and 0.5.0 dated 2018-07-21

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 statnetWeb-0.5.0/statnetWeb/R/run_sw.R                 |   32 
 statnetWeb-0.5.0/statnetWeb/R/statnetWeb-package.R     |   56 
 statnetWeb-0.5.0/statnetWeb/README.md                  |   62 
 statnetWeb-0.5.0/statnetWeb/inst/shiny/global.R        |  336 
 statnetWeb-0.5.0/statnetWeb/inst/shiny/server.R        | 7684 ++++-----
 statnetWeb-0.5.0/statnetWeb/inst/shiny/ui.R            | 2798 +--
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Package scclust updated to version 0.1.2 with previous version 0.1.1 dated 2017-05-22

Title: Size-Constrained Clustering
Description: Provides wrappers for 'scclust', a C library for computationally efficient size-constrained clustering with near-optimal performance. See <https://github.com/fsavje/scclust> for more information.
Author: Fredrik Savje [aut, cre], Michael Higgins [aut], Jasjeet Sekhon [aut]
Maintainer: Fredrik Savje <fredrik.savje@yale.edu>

Diff between scclust versions 0.1.1 dated 2017-05-22 and 0.1.2 dated 2018-07-21

 DESCRIPTION             |   14 +++++++-------
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 NEWS.md                 |    5 +++++
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 4 files changed, 18 insertions(+), 10 deletions(-)

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Package quickmatch updated to version 0.1.3 with previous version 0.1.2 dated 2017-05-20

Title: Quick Generalized Full Matching
Description: Provides functions for constructing near-optimal generalized full matching. Generalized full matching is an extension of the original full matching method to situations with more intricate study designs. The package is made with large data sets in mind and derives matches more than an order of magnitude quicker than other methods.
Author: Fredrik Savje [aut, cre], Jasjeet Sekhon [aut], Michael Higgins [aut]
Maintainer: Fredrik Savje <fredrik.savje@yale.edu>

Diff between quickmatch versions 0.1.2 dated 2017-05-20 and 0.1.3 dated 2018-07-21

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Package ggpval updated to version 0.2.1 with previous version 0.2.0 dated 2017-07-26

Title: Annotate Statistical Tests for 'ggplot2'
Description: Automatically performs desired statistical tests (e.g. wilcox.test(), t.test()) to compare between groups, and adds the resulting p-values to the plot with an annotation bar. Visualizing group differences are frequently performed by boxplots, bar plots, etc. Statistical test results are often needed to be annotated on these plots. This package provides a convenient function that works on 'ggplot2' objects, performs the desired statistical test between groups of interest and annotates the test results on the plot.
Author: Jun Cheng [aut, cre]
Maintainer: Jun Cheng <s6juncheng@gmail.com>

Diff between ggpval versions 0.2.0 dated 2017-07-26 and 0.2.1 dated 2018-07-21

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Package ClusterR updated to version 1.1.3 with previous version 1.1.2 dated 2018-05-06

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans and K-Medoids Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between ClusterR versions 1.1.2 dated 2018-05-06 and 1.1.3 dated 2018-07-21

 DESCRIPTION                        |    8 ++++----
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 README.md                          |    3 ++-
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 man/KMeans_rcpp.Rd                 |    4 ++--
 man/MiniBatchKmeans.Rd             |    2 +-
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 11 files changed, 39 insertions(+), 33 deletions(-)

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Package geojsonR updated to version 1.0.5 with previous version 1.0.4 dated 2017-11-30

Title: A GeoJson Processing Toolkit
Description: Includes functions for processing GeoJson objects <https://en.wikipedia.org/wiki/GeoJSON> relying on 'RFC 7946' <https://tools.ietf.org/pdf/rfc7946.pdf>. The geojson encoding is based on 'json11', a tiny JSON library for 'C++11' <https://github.com/dropbox/json11>. Furthermore, the source code is exported in R through the 'Rcpp' and 'RcppArmadillo' packages.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between geojsonR versions 1.0.4 dated 2017-11-30 and 1.0.5 dated 2018-07-21

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 MD5                                |   14 +++++++-------
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 README.md                          |    3 ++-
 build/vignette.rds                 |binary
 inst/doc/the_geojsonR_package.html |    4 ++--
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Package elmNNRcpp updated to version 1.0.1 with previous version 1.0.0 dated 2018-07-05

Title: The Extreme Learning Machine Algorithm
Description: Training and predict functions for Single Hidden-layer Feedforward Neural Networks (SLFN) using the Extreme Learning Machine (ELM) algorithm. The ELM algorithm differs from the traditional gradient-based algorithms for very short training times (it doesn't need any iterative tuning, this makes learning time very fast) and there is no need to set any other parameters like learning rate, momentum, epochs, etc. This is a reimplementation of the 'elmNN' package using 'RcppArmadillo' after the 'elmNN' package was archived. For more information, see "Extreme learning machine: Theory and applications" by Guang-Bin Huang, Qin-Yu Zhu, Chee-Kheong Siew (2006), Elsevier B.V, <doi:10.1016/j.neucom.2005.12.126>.
Author: Lampros Mouselimis [aut, cre], Alberto Gosso [aut]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between elmNNRcpp versions 1.0.0 dated 2018-07-05 and 1.0.1 dated 2018-07-21

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Package BAMBI updated to version 2.0.1 with previous version 2.0.0 dated 2018-06-21

Title: Bivariate Angular Mixture Models
Description: Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions. Chakraborty and Wong (2017) <arXiv:1708.07804> .
Author: Saptarshi Chakraborty, Samuel W.K. Wong
Maintainer: Saptarshi Chakraborty <chakra.saptarshi@gmail.com>

Diff between BAMBI versions 2.0.0 dated 2018-06-21 and 2.0.1 dated 2018-07-21

 DESCRIPTION       |   11 ++++++-----
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 NAMESPACE         |    1 +
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 5 files changed, 22 insertions(+), 19 deletions(-)

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Package nmslibR updated to version 1.0.3 with previous version 1.0.2 dated 2018-05-10

Title: Non Metric Space (Approximate) Library
Description: A Non-Metric Space Library ('NMSLIB' <https://github.com/searchivarius/nmslib>) wrapper, which according to the authors "is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the 'NMSLIB' <https://github.com/searchivarius/nmslib> Library is to create an effective and comprehensive toolkit for searching in generic non-metric spaces. Being comprehensive is important, because no single method is likely to be sufficient in all cases. Also note that exact solutions are hardly efficient in high dimensions and/or non-metric spaces. Hence, the main focus is on approximate methods". The wrapper also includes Approximate Kernel k-Nearest-Neighbor functions based on the 'NMSLIB' <https://github.com/searchivarius/nmslib> 'Python' Library.
Author: Lampros Mouselimis [aut, cre], B. Naidan [cph] (Author of the Non-Metric Space Library (NMSLIB)), L. Boytsov [cph] (Author of the Non-Metric Space Library (NMSLIB)), Yu. Malkov [cph] (Author of the Non-Metric Space Library (NMSLIB)), B. Frederickson [cph] (Author of the Non-Metric Space Library (NMSLIB)), D. Novak [cph] (Author of the Non-Metric Space Library (NMSLIB))
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between nmslibR versions 1.0.2 dated 2018-05-10 and 1.0.3 dated 2018-07-21

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Package semds updated to version 0.9-5 with previous version 0.9-4 dated 2018-06-14

Title: Structural Equation Multidimensional Scaling
Description: Fits a structural equation multidimensional scaling (SEMDS) model for asymmetric and three-way input dissimilarities. It assumes that the dissimilarities are measured with errors. The latent dissimilarities are estimated as factor scores within an SEM framework while the objects are represented in a low-dimensional space as in MDS.
Author: Patrick Mair [aut, cre], Jose Fernando Vera [aut]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

Diff between semds versions 0.9-4 dated 2018-06-14 and 0.9-5 dated 2018-07-21

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New package rda with initial version 1.0.2-2.1
Package: rda
Version: 1.0.2-2.1
Date: 2012-06-30
Title: Shrunken Centroids Regularized Discriminant Analysis
Author: Yaqian Guo <yaqiang@stat.stanford.edu> Trevor Hastie <hastie@stat.stanford.edu> Robert Tibshirani <tibs@stanford.edu>
Maintainer: ORPHANED
Depends: R (>= 2.10)
Description: Shrunken Centroids Regularized Discriminant Analysis for the classification purpose in high dimensional data.
License: GPL (>= 2)
Packaged: 2018-07-21 16:59:24 UTC; hornik
Repository: CRAN
Date/Publication: 2018-07-21 17:12:01 UTC
NeedsCompilation: no
X-CRAN-Original-Maintainer: Rob Tibshirani <tibs@stanford.edu>
X-CRAN-Comment: Orphaned and corrected on 2018-07-21 as check problems were not corrected despite reminders.

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New package plsdof with initial version 0.2-7.1
Package: plsdof
Type: Package
Title: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression
Depends: MASS
Version: 0.2-7.1
Date: 2014-09-04
Author: Nicole Kraemer, Mikio L. Braun
Maintainer: ORPHANED
Description: The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures. Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2018-07-21 16:59:31 UTC; hornik
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2018-07-21 17:11:59 UTC
X-CRAN-Original-Maintainer: Nicole Kraemer <kraemer_r_packages@yahoo.de>
X-CRAN-Comment: Orphaned and corrected on 2018-07-21 as check problems were not corrected despite reminders.

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New package penalizedSVM with initial version 1.1.1
Package: penalizedSVM
Type: Package
Title: Feature Selection SVM using Penalty Functions
Version: 1.1.1
Date: 2010-08-02
Depends: e1071, MASS, corpcor, statmod, tgp, mlegp, lhs
Author: Natalia Becker, Wiebke Werft, Axel Benner
Maintainer: ORPHANED
Description: Provides feature selection SVM using penalty functions. The smoothly clipped absolute deviation (SCAD), 'L1-norm', 'Elastic Net' ('L1-norm' and 'L2-norm') and 'Elastic SCAD' (SCAD and 'L2-norm') penalties are available. The tuning parameters can be found using either a fixed grid or a interval search.
License: GPL (>= 2)
LazyLoad: yes
Encoding: latin1
Packaged: 2018-07-21 17:04:21 UTC; hornik
Repository: CRAN
Date/Publication: 2018-07-21 17:11:57 UTC
NeedsCompilation: no
X-CRAN-Original-Maintainer: Natalia Becker <natalia.becker@dkfz.de>
X-CRAN-Comment: Orphaned and corrected on 2018-07-21 as check problems were not corrected despite reminders.

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New package diffusionMap with initial version 1.1-0.1
Package: diffusionMap
Version: 1.1-0.1
Date: 2014-02-19
Title: Diffusion Map
Author: Joseph Richards <joeyrichar@gmail.com>
Maintainer: ORPHANED
Description: Implements diffusion map method of data parametrization, including creation and visualization of diffusion map, clustering with diffusion K-means and regression using adaptive regression model.
Depends: R (>= 2.4.0)
Imports: scatterplot3d, igraph, Matrix
License: GPL-2
URL: http://www.stat.berkeley.edu/~jwrichar/software.html
Packaged: 2018-07-21 17:16:50 UTC; hornik
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2018-07-21 17:26:23 UTC
X-CRAN-Original-Maintainer: Joseph Richards <joeyrichar@gmail.com>
X-CRAN-Comment: Orphaned and corrected on 2018-07-21 as check problems were not corrected despite reminders.

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New package cleandata with initial version 0.1.0
Package: cleandata
Type: Package
Title: Functions to Inspect, Impute, and Encode Data, and to Keep Track of This Process
Version: 0.1.0
Author: Sherry Zhao
Maintainer: Sherry Zhao <sxzhao@gwu.edu>
Description: Functions to work with data frames to prepare data further analysis. The functions for imputation and encoding can produce log files to keep track of data manipulation process.
BugReports: https://github.com/sherrisherry/cleandata/issues
Depends: R (>= 3.0.0)
Imports: stats
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-07-17 22:58:52 UTC; Admin
Repository: CRAN
Date/Publication: 2018-07-21 18:00:03 UTC

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New package c060 with initial version 0.2-4
Package: c060
Version: 0.2-4
Date: 2014-12-09
Author: Martin Sill, Thomas Hielscher, Manuela Zucknick, Natalia Becker.
Maintainer: Martin Sill <m.sill@dkfz.de>
Title: Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models
Depends:
Imports: glmnet, survival, parallel, mlegp, tgp, peperr, penalizedSVM, lattice
Suggests:
Description: c060 provides additional functions to perform stability selection, model validation and parameter tuning for glmnet models
License: GPL-2
LazyLoad: yes
Repository: CRAN
Repository/R-Forge/Project: c060
Repository/R-Forge/Revision: 185
Repository/R-Forge/DateTimeStamp: 2014-12-11 13:09:54
Date/Publication: 2014-12-11 17:04:38
Packaged: 2014-12-11 13:30:10 UTC; rforge
NeedsCompilation: no

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Package nngeo updated to version 0.2.1 with previous version 0.2.0 dated 2018-07-18

Title: k-Nearest Neighbor Join for Spatial Data
Description: K-nearest neighbor search for projected and non-projected 'sf' spatial layers. Nearest neighbor search uses (1) C implementation of the Vincenty Formula for lon-lat point layers, (2) function nn2() from package 'RANN' for projected point layers, or (3) function st_distance() from package 'sf' for line or polygon layers.
Author: Michael Dorman [aut, cre], Johnathan Rush [ctb], Ian Hough [ctb], Jan Antala [ctb, cph] (Author of C code for Vincenty distance)
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

Diff between nngeo versions 0.2.0 dated 2018-07-18 and 0.2.1 dated 2018-07-21

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Package mpath updated to version 0.3-5 with previous version 0.3-4 dated 2017-10-23

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 <zwang@connecticutchildrens.org>

Diff between mpath versions 0.3-4 dated 2017-10-23 and 0.3-5 dated 2018-07-21

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Package dtwclust updated to version 5.5.0 with previous version 5.4.1 dated 2018-06-10

Title: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Description: Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions. Implementations of DTW barycenter averaging, a distance based on global alignment kernels, and the soft-DTW distance and centroid routines are also provided. All included distance functions have custom loops optimized for the calculation of cross-distance matrices, including parallelization support. Several cluster validity indices are included.
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>

Diff between dtwclust versions 5.4.1 dated 2018-06-10 and 5.5.0 dated 2018-07-21

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Package compound.Cox updated to version 3.14 with previous version 3.13 dated 2018-07-12

Title: Univariate Feature Selection and Compound Covariate for Predicting Survival
Description: Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (e.g., gene expressions). Available are survival data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007 New Engl J Med) <DOI:10.1056/NEJMoa060096>, statistical methods in Emura et al (2012 PLoS ONE) <DOI:10.1371/journal.pone.0047627>, Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>, and Emura et al. (2018-)<to appear>. Algorithms for generating correlated gene expressions are also available.
Author: Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between compound.Cox versions 3.13 dated 2018-07-12 and 3.14 dated 2018-07-21

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Package R.devices updated to version 2.16.0 with previous version 2.15.1 dated 2016-11-10

Title: Unified Handling of Graphics Devices
Description: Functions for creating plots and image files in a unified way regardless of output format (EPS, PDF, PNG, SVG, TIFF, WMF, etc.). Default device options as well as scales and aspect ratios are controlled in a uniform way across all device types. Switching output format requires minimal changes in code. This package is ideal for large-scale batch processing, because it will never leave open graphics devices or incomplete image files behind, even on errors or user interrupts.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.devices versions 2.15.1 dated 2016-11-10 and 2.16.0 dated 2018-07-21

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Package multistateutils updated to version 1.2.0 with previous version 1.1.0 dated 2018-06-17

Title: Utility Functions for Parametric Multi-State Models
Description: Provides functions for working with multi-state modelling, such as efficient simulation routines for estimating transition probabilities and length of stay. It is designed as an extension to multi-state modelling capabilities provided with the 'flexsurv' package (see Jackson (2016) <doi:10.18637/jss.v070.i08>).
Author: Stuart Lacy
Maintainer: Stuart Lacy <stuart.lacy@gmail.com>

Diff between multistateutils versions 1.1.0 dated 2018-06-17 and 1.2.0 dated 2018-07-21

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Package spagmix updated to version 0.3-0 with previous version 0.2-0 dated 2018-07-02

Title: Artificial Spatial and Spatiotemporal Densities on Bounded Windows
Description: A utility package containing some simple tools to design and generate density functions on bounded regions in space and space-time, and simulate iid data therefrom. See Davies & Hazelton (2010) <doi:10.1002/sim.3995> for example.
Author: Anna K. Redmond and Tilman M. Davies
Maintainer: Tilman M. Davies <tdavies@maths.otago.ac.nz>

Diff between spagmix versions 0.2-0 dated 2018-07-02 and 0.3-0 dated 2018-07-21

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Package CBCgrps updated to version 2.2 with previous version 2.1 dated 2017-08-16

Title: Compare Baseline Characteristics Between Groups
Description: Compare baseline characteristics between two or more groups. The variables being compared can be factor and numeric variables. The function will automatically judge the type and distribution of the variables, and make statistical description and bivariate analysis.
Author: Zhongheng Zhang, Sir Run-Run Shaw hospital, Zhejiang university school of medicine
Maintainer: Zhongheng Zhang <zh_zhang1984@zju.edu.cn>

Diff between CBCgrps versions 2.1 dated 2017-08-16 and 2.2 dated 2018-07-21

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Package dlookr updated to version 0.3.2 with previous version 0.3.0 dated 2018-04-27

Title: Tools for Data Diagnosis, Exploration, Transformation
Description: A collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values and outliers and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and relationship between target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputates missing values and outliers, resolving skewness. And it creates automated reports that support these three tasks.
Author: Choonghyun Ryu [aut, cre]
Maintainer: Choonghyun Ryu <choonghyun.ryu@gmail.com>

Diff between dlookr versions 0.3.0 dated 2018-04-27 and 0.3.2 dated 2018-07-21

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 dlookr-0.3.2/dlookr/man/diagnose_outlier.data.frame.Rd    |only
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 dlookr-0.3.2/dlookr/man/diagnose_report.data.frame.Rd     |only
 dlookr-0.3.2/dlookr/man/diagnose_report.tbl_dbi.Rd        |only
 dlookr-0.3.2/dlookr/man/eda_report.data.frame.Rd          |only
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 dlookr-0.3.2/dlookr/man/plot.relate.Rd                    |   12 
 dlookr-0.3.2/dlookr/man/plot_correlate.data.frame.Rd      |only
 dlookr-0.3.2/dlookr/man/plot_correlate.tbl_dbi.Rd         |only
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 dlookr-0.3.2/dlookr/man/target_by.data.frame.Rd           |only
 dlookr-0.3.2/dlookr/man/target_by.tbl_dbi.Rd              |only
 dlookr-0.3.2/dlookr/vignettes/EDA.Rmd                     |  301 +++
 dlookr-0.3.2/dlookr/vignettes/diagonosis.Rmd              |  151 +
 dlookr-0.3.2/dlookr/vignettes/img/diag_agenda_html.png    |binary
 dlookr-0.3.2/dlookr/vignettes/img/diag_table_html.png     |binary
 dlookr-0.3.2/dlookr/vignettes/img/eda_agenda_html.png     |binary
 dlookr-0.3.2/dlookr/vignettes/img/eda_agenda_pdf.png      |binary
 dlookr-0.3.2/dlookr/vignettes/img/eda_anova_pdf.png       |binary
 dlookr-0.3.2/dlookr/vignettes/img/eda_lm_pdf.png          |binary
 dlookr-0.3.2/dlookr/vignettes/img/trans_agenda_html.png   |binary
 dlookr-0.3.2/dlookr/vignettes/img/trans_agenda_pdf.png    |binary
 dlookr-0.3.2/dlookr/vignettes/transformation.Rmd          |   12 
 80 files changed, 2953 insertions(+), 1026 deletions(-)

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