Title: Extract Text from Rich Text Format (RTF) Documents
Description: Wraps the 'unrtf' utility to extract text from RTF files. Supports
document conversion to HTML, LaTeX or plain text. Output in HTML is recommended
because 'unrtf' has limited support for converting between character encodings.
Author: Jeroen Ooms [aut, cre],
Free Software Foundation, Inc [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between unrtf versions 1.2 dated 2018-01-26 and 1.3 dated 2018-11-08
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- NEWS | 4 ++++ R/unrtf.R | 3 +-- src/Makevars | 5 +---- 5 files changed, 15 insertions(+), 15 deletions(-)
Title: Spatial Dependence Based on Empirical Variograms
Description: Apply Monte Carlo permutation to compute pointwise variogram envelopes, and check spatial dependence using permutation test adjusted for multiple testing.
Author: Craig Wang [aut, cre] (<https://orcid.org/0000-0003-1804-2463>)
Maintainer: Craig Wang <craig.wang@uzh.ch>
Diff between variosig versions 0.1 dated 2017-11-14 and 0.2 dated 2018-11-08
DESCRIPTION | 12 +++++++----- MD5 | 21 +++++++++++---------- NAMESPACE | 5 +++-- R/envelope.R | 2 ++ R/envplot.R | 12 +++++++++++- inst/NEWS | 4 ++++ man/envelope.Rd | 6 +++--- man/envplot.Rd | 7 +++++-- man/envsig.Rd | 2 ++ man/variosig-package.Rd | 4 ++-- tests/testthat/Rplots.pdf |only tests/testthat/test.R | 10 +++------- 12 files changed, 53 insertions(+), 32 deletions(-)
Title: Constrained Generalized Additive Model
Description: A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with triangle splines without additivity assumptions. See Mary C. Meyer (2013)<doi:10.1080/10485252.2013.797577> for more details.
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <liaoxiyue2011@gmail.com>
Diff between cgam versions 1.11 dated 2018-06-28 and 1.12 dated 2018-11-08
ChangeLog | 6 DESCRIPTION | 8 MD5 | 16 - NAMESPACE | 4 R/cgam.R | 82 ++++-- R/cgamm.R | 631 ++++++++++++++++++++++++++++++++++++++++++++++++---- man/ShapeSelect.Rd | 12 man/cgamm.Rd | 4 man/predict.cgam.Rd | 7 9 files changed, 679 insertions(+), 91 deletions(-)
Title: Bayesian Graphical Estimation using Spike-and-Slab Priors
Description: Bayesian estimation of graph structure learning in undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data. To speed up the computations, the computationally intensive tasks of the package are implemented in C++ in parallel using OpenMP.
Author: Reza Mohammadi <https://orcid.org/0000-0001-9538-0648>
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>
Diff between ssgraph versions 1.5 dated 2018-10-05 and 1.6 dated 2018-11-08
ssgraph-1.5/ssgraph/cleanup |only ssgraph-1.5/ssgraph/configure |only ssgraph-1.5/ssgraph/configure.ac |only ssgraph-1.5/ssgraph/src/Makevars.in |only ssgraph-1.5/ssgraph/src/check_nthread.cpp |only ssgraph-1.6/ssgraph/DESCRIPTION | 10 +-- ssgraph-1.6/ssgraph/MD5 | 45 +++++++-------- ssgraph-1.6/ssgraph/NEWS | 3 + ssgraph-1.6/ssgraph/R/copula.R | 6 +- ssgraph-1.6/ssgraph/R/ssgraph.R | 75 +++++++++++--------------- ssgraph-1.6/ssgraph/inst/TODO |only ssgraph-1.6/ssgraph/man/plot.ssgraph.Rd | 4 + ssgraph-1.6/ssgraph/man/print.ssgraph.Rd | 2 ssgraph-1.6/ssgraph/man/ssgraph-package.Rd | 9 ++- ssgraph-1.6/ssgraph/man/ssgraph.Rd | 21 ++++--- ssgraph-1.6/ssgraph/man/summary.ssgraph.Rd | 2 ssgraph-1.6/ssgraph/src/Makevars |only ssgraph-1.6/ssgraph/src/Makevars.win | 5 - ssgraph-1.6/ssgraph/src/copula.cpp | 42 +++++++------- ssgraph-1.6/ssgraph/src/copula.h | 6 +- ssgraph-1.6/ssgraph/src/gcgm_spike_slab.cpp | 20 +++--- ssgraph-1.6/ssgraph/src/ggm_spike_slab.cpp | 12 ++-- ssgraph-1.6/ssgraph/src/matrix.cpp | 34 +++++------ ssgraph-1.6/ssgraph/src/matrix.h | 4 - ssgraph-1.6/ssgraph/src/omp_set_num_cores.cpp | 22 ++++++- ssgraph-1.6/ssgraph/src/ssgraph_init.c | 2 ssgraph-1.6/ssgraph/src/util.h | 16 ----- 27 files changed, 173 insertions(+), 167 deletions(-)
Title: A 'Linter' for R Code
Description: Checks adherence to a given style, syntax errors and possible
semantic issues. Supports on the fly checking of R code edited with 'RStudio IDE', 'Emacs',
'Vim', 'Sublime Text' and 'Atom'.
Author: Jim Hester [aut, cre]
Maintainer: Jim Hester <james.f.hester@gmail.com>
Diff between lintr versions 1.0.2 dated 2017-11-08 and 1.0.3 dated 2018-11-08
DESCRIPTION | 6 MD5 | 12 - NEWS.md | 3 R/get_source_expressions.R | 6 README.md | 8 build/vignette.rds |binary inst/doc/creating_linters.html | 364 ++++++++++++++++++++++++++++++++--------- 7 files changed, 306 insertions(+), 93 deletions(-)
Title: Interface to Geometry Engine - Open Source ('GEOS')
Description: Interface to Geometry Engine - Open Source ('GEOS') using the C 'API' for topology operations on geometries. The 'GEOS' library is external to the package, and, when installing the package from source, must be correctly installed first. Windows and Mac Intel OS X binaries are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>),
Colin Rundel [aut],
Edzer Pebesma [ctb],
Rainer Stuetz [ctb],
Karl Ove Hufthammer [ctb],
Patrick Giraudoux [ctb],
Martin Davis [cph, ctb],
Sandro Santilli [cph, ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Diff between rgeos versions 0.4-1 dated 2018-10-19 and 0.4-2 dated 2018-11-08
ChangeLog | 17 +++++++++++++++++ DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ configure | 24 ++++++++++++++---------- configure.ac | 6 +++++- inst/ChangeLog | 17 +++++++++++++++++ inst/SVN_VERSION | 2 +- 7 files changed, 64 insertions(+), 22 deletions(-)
Title: An Image Processing Toolkit
Description: Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform, the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library. The Gabor Feature Extraction functions are based on 'Matlab' code of the paper, "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification" by M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, Expert Systems with Applications, vol. 42, no. 21, pp. 7905-7916, 2015, <doi:10.1016/j.eswa.2015.06.025>. The 'SLIC' and 'SLICO' superpixel algorithms were explained in detail in (i) "SLIC Superpixels Compared to State-of-the-art Superpixel Methods", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, num. 11, p. 2274-2282, May 2012, <doi:10.1109/TPAMI.2012.120> and (ii) "SLIC Superpixels", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, EPFL Technical Report no. 149300, June 2010.
Author: Lampros Mouselimis [aut, cre],
Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer
vision platform),
Johannes Buchner [cph] (average_hash, dhash and phash functions of the
ImageHash python library),
Mohammad Haghighat [cph] (Gabor Feature Extraction),
Radhakrishna Achanta [cph] (Author of the C++ code of the SLIC and
SLICO algorithms (for commercial use please contact the author))
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
Diff between OpenImageR versions 1.1.1 dated 2018-08-22 and 1.1.2 dated 2018-11-08
OpenImageR-1.1.1/OpenImageR/src/dilation_erosion_rgb2gray.cpp |only OpenImageR-1.1.1/OpenImageR/src/gabor_feature_extraction.cpp |only OpenImageR-1.1.1/OpenImageR/src/hog_features.cpp |only OpenImageR-1.1.1/OpenImageR/src/image_hashing.cpp |only OpenImageR-1.1.1/OpenImageR/src/utils.cpp |only OpenImageR-1.1.1/OpenImageR/src/utils.h |only OpenImageR-1.1.2/OpenImageR/DESCRIPTION | 20 OpenImageR-1.1.2/OpenImageR/MD5 | 64 OpenImageR-1.1.2/OpenImageR/NAMESPACE | 7 OpenImageR-1.1.2/OpenImageR/NEWS.md | 10 OpenImageR-1.1.2/OpenImageR/R/RcppExports.R | 262 +-- OpenImageR-1.1.2/OpenImageR/R/superpixels.R |only OpenImageR-1.1.2/OpenImageR/README.md | 103 + OpenImageR-1.1.2/OpenImageR/build/vignette.rds |binary OpenImageR-1.1.2/OpenImageR/inst/doc/Gabor_Feature_Extraction.html | 4 OpenImageR-1.1.2/OpenImageR/inst/doc/Image_segmentation_superpixels_clustering.Rmd |only OpenImageR-1.1.2/OpenImageR/inst/doc/Image_segmentation_superpixels_clustering.html |only OpenImageR-1.1.2/OpenImageR/inst/doc/The_OpenImageR_package.html | 18 OpenImageR-1.1.2/OpenImageR/inst/include |only OpenImageR-1.1.2/OpenImageR/inst/tmp_images/slic_im.png |only OpenImageR-1.1.2/OpenImageR/man/Augmentation.Rd | 3 OpenImageR-1.1.2/OpenImageR/man/RGB_to_HSV.Rd |only OpenImageR-1.1.2/OpenImageR/man/RGB_to_Lab.Rd |only OpenImageR-1.1.2/OpenImageR/man/average_hash.Rd | 3 OpenImageR-1.1.2/OpenImageR/man/down_sample_image.Rd | 4 OpenImageR-1.1.2/OpenImageR/man/edge_detection.Rd | 3 OpenImageR-1.1.2/OpenImageR/man/hash_apply.Rd | 4 OpenImageR-1.1.2/OpenImageR/man/load_3d_binary.Rd |only OpenImageR-1.1.2/OpenImageR/man/rotateImage.Rd | 3 OpenImageR-1.1.2/OpenImageR/man/superpixels.Rd |only OpenImageR-1.1.2/OpenImageR/man/switch_hashing.Rd | 4 OpenImageR-1.1.2/OpenImageR/man/switch_invariant.Rd | 3 OpenImageR-1.1.2/OpenImageR/src/RcppExports.cpp | 747 +++------- OpenImageR-1.1.2/OpenImageR/src/extract_inst_folder_headers.cpp |only OpenImageR-1.1.2/OpenImageR/src/init.c | 52 OpenImageR-1.1.2/OpenImageR/tests/testthat/test-superpixels.R |only OpenImageR-1.1.2/OpenImageR/vignettes/BSR_bsds500_image.jpg |only OpenImageR-1.1.2/OpenImageR/vignettes/BSR_bsds500_segmentation.png |only OpenImageR-1.1.2/OpenImageR/vignettes/Image_segmentation_superpixels_clustering.Rmd |only OpenImageR-1.1.2/OpenImageR/vignettes/airplane.jpg |only OpenImageR-1.1.2/OpenImageR/vignettes/im_masks.png |only OpenImageR-1.1.2/OpenImageR/vignettes/segment_AP.png |only OpenImageR-1.1.2/OpenImageR/vignettes/segment_kmeans.png |only OpenImageR-1.1.2/OpenImageR/vignettes/segment_mbkm.png |only OpenImageR-1.1.2/OpenImageR/vignettes/slic_vs_slico.png |only 45 files changed, 545 insertions(+), 769 deletions(-)
Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids
and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation 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>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre],
Conrad Sanderson [cph] (Author of the C++ Armadillo library),
Ryan Curtin [cph] (Author of the C++ Armadillo library),
Siddharth Agrawal [cph] (Author of the C code of the Mini-Batch-Kmeans
algorithm
(https://github.com/siddharth-agrawal/Mini-Batch-K-Means)),
Brendan Frey [cph] (Author of the matlab code of the Affinity
propagation algorithm (for commercial use please contact the
author)),
Delbert Dueck [cph] (Author of the matlab code of the Affinity
propagation algorithm)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
Diff between ClusterR versions 1.1.5 dated 2018-10-05 and 1.1.6 dated 2018-11-08
ClusterR-1.1.5/ClusterR/LICENSE |only ClusterR-1.1.5/ClusterR/src/export_inst_header.cpp |only ClusterR-1.1.6/ClusterR/DESCRIPTION | 36 ClusterR-1.1.6/ClusterR/MD5 | 43 ClusterR-1.1.6/ClusterR/NAMESPACE | 2 ClusterR-1.1.6/ClusterR/NEWS.md | 13 ClusterR-1.1.6/ClusterR/R/RcppExports.R | 10 ClusterR-1.1.6/ClusterR/R/clustering_functions.R | 1108 ++++++------ ClusterR-1.1.6/ClusterR/README.md | 30 ClusterR-1.1.6/ClusterR/inst/doc/the_clusterR_package.html | 12 ClusterR-1.1.6/ClusterR/inst/include/ClusterRHeader.h | 15 ClusterR-1.1.6/ClusterR/inst/include/affinity_propagation.h |only ClusterR-1.1.6/ClusterR/man/AP_affinity_propagation.Rd |only ClusterR-1.1.6/ClusterR/man/AP_preferenceRange.Rd |only ClusterR-1.1.6/ClusterR/man/MiniBatchKmeans.Rd | 4 ClusterR-1.1.6/ClusterR/man/Optimal_Clusters_GMM.Rd | 4 ClusterR-1.1.6/ClusterR/man/Optimal_Clusters_KMeans.Rd | 39 ClusterR-1.1.6/ClusterR/man/Optimal_Clusters_Medoids.Rd | 6 ClusterR-1.1.6/ClusterR/man/external_validation.Rd | 4 ClusterR-1.1.6/ClusterR/man/function_interactive.Rd | 3 ClusterR-1.1.6/ClusterR/man/tryCatch_optimal_clust_GMM.Rd | 4 ClusterR-1.1.6/ClusterR/src/RcppExports.cpp | 35 ClusterR-1.1.6/ClusterR/src/export_inst_folder_headers.cpp |only ClusterR-1.1.6/ClusterR/src/init.c | 4 ClusterR-1.1.6/ClusterR/tests/testthat/test-AP.R |only ClusterR-1.1.6/ClusterR/tests/testthat/test-kmeans.R | 88 26 files changed, 862 insertions(+), 598 deletions(-)
Title: The Skew-Normal and Related Distributions Such as the Skew-t
Description: Build and manipulate probability distributions of the skew-normal
family and some related ones, notably the skew-t family, and provide related
statistical methods for data fitting and model diagnostics, in the univariate
and the multivariate case.
Author: Adelchi Azzalini <adelchi.azzalini@unipd.it>
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>
Diff between sn versions 1.5-2 dated 2018-04-24 and 1.5-3 dated 2018-11-08
DESCRIPTION | 8 - MD5 | 20 ++-- NEWS | 16 ++- R/sn-funct.R | 239 +++++++++++++++++++++++++++++++++------------------- man/dst.Rd | 8 - man/matrix-op.Rd | 4 man/modeSECdistr.Rd | 15 +-- man/profile.selm.Rd | 7 - man/selm.Rd | 45 +++++---- man/selm.fit.Rd | 2 man/sn-st.info.Rd | 44 +++++---- 11 files changed, 249 insertions(+), 159 deletions(-)
Title: MultiDimensional Feature Selection
Description: Functions for MultiDimensional Feature Selection (MDFS):
calculating multidimensional information gains, scoring variables,
finding important variables, plotting selection results.
This package includes an optional CUDA implementation that speeds up
information gain calculation using NVIDIA GPGPUs.
Author: Radosław Piliszek [aut, cre],
Krzysztof Mnich [aut],
Paweł Tabaszewski [aut],
Szymon Migacz [aut],
Andrzej Sułecki [aut],
Witold Remigiusz Rudnicki [aut]
Maintainer: Radosław Piliszek <r.piliszek@uwb.edu.pl>
Diff between MDFS versions 1.0.2 dated 2018-10-31 and 1.0.3 dated 2018-11-08
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS | 8 +++++++- R/main.R | 6 +++++- R/p_value.R | 6 +++++- man/MDFS.Rd | 6 +++++- man/RelevantVariables.MDFS.Rd | 6 +++++- src/cpu/dataset.cpp | 19 ++++++++++--------- 8 files changed, 48 insertions(+), 25 deletions(-)
Title: MHC Allele-Based Differencing Between Populations
Description: Tools for the analysis of population differences
using the Major Histocompatibility Complex (MHC) genotypes of samples
having a variable number of alleles (1-4) recorded for each
individual. A hierarchical Dirichlet-Multinomial model on the
genotype counts is used to pool small samples from multiple
populations for pairwise tests of equality. Bayesian inference is
implemented via the 'rstan' package. Bootstrapped and posterior
p-values are provided for chi-squared and likelihood ratio tests of
equal genotype probabilities.
Author: Martin Lysy [cre, aut],
Peter W.J. Kim [aut],
Terin Robinson [ctb]
Maintainer: Martin Lysy <mlysy@uwaterloo.ca>
Diff between MADPop versions 1.1.1 dated 2018-10-27 and 1.1.2 dated 2018-11-08
MADPop-1.1.1/MADPop/inst/stan/devel |only MADPop-1.1.1/MADPop/tests/dontrun |only MADPop-1.1.2/MADPop/DESCRIPTION | 11 +++--- MADPop-1.1.2/MADPop/MD5 | 17 +++------ MADPop-1.1.2/MADPop/R/UM.suff.R | 1 MADPop-1.1.2/MADPop/R/geno.format.R | 1 MADPop-1.1.2/MADPop/inst/doc/MADPop-quicktut.html | 38 ++++++++++----------- MADPop-1.1.2/MADPop/inst/extdata/fish215-cleanup.R |only MADPop-1.1.2/MADPop/src/Makevars | 4 +- MADPop-1.1.2/MADPop/src/Makevars.win | 5 +- 10 files changed, 36 insertions(+), 41 deletions(-)
Title: A Framework for Dimensionality Reduction
Description: A collection of dimensionality reduction
techniques from R packages and a common
interface for calling the methods.
Author: Guido Kraemer [aut, cre]
Maintainer: Guido Kraemer <gkraemer@bgc-jena.mpg.de>
Diff between dimRed versions 0.1.0 dated 2017-05-04 and 0.2.0 dated 2018-11-08
dimRed-0.1.0/dimRed/README.md |only dimRed-0.2.0/dimRed/DESCRIPTION | 43 +- dimRed-0.2.0/dimRed/MD5 | 167 +++++----- dimRed-0.2.0/dimRed/NAMESPACE | 12 dimRed-0.2.0/dimRed/NEWS.md | 26 + dimRed-0.2.0/dimRed/R/autoencoder.R |only dimRed-0.2.0/dimRed/R/diffmap.R | 7 dimRed-0.2.0/dimRed/R/dimRed.R | 7 dimRed-0.2.0/dimRed/R/dimRedData-class.R | 7 dimRed-0.2.0/dimRed/R/dimRedMethod-class.R | 7 dimRed-0.2.0/dimRed/R/dimRedResult-class.R | 25 + dimRed-0.2.0/dimRed/R/embed.R | 57 +-- dimRed-0.2.0/dimRed/R/fastica.R | 5 dimRed-0.2.0/dimRed/R/get_info.R | 1 dimRed-0.2.0/dimRed/R/graph_embed.R | 23 + dimRed-0.2.0/dimRed/R/hlle.R | 2 dimRed-0.2.0/dimRed/R/isomap.R | 58 ++- dimRed-0.2.0/dimRed/R/kpca.R | 50 ++ dimRed-0.2.0/dimRed/R/l1pca.R |only dimRed-0.2.0/dimRed/R/leim.R | 3 dimRed-0.2.0/dimRed/R/lle.R | 1 dimRed-0.2.0/dimRed/R/mds.R | 5 dimRed-0.2.0/dimRed/R/misc.R | 25 + dimRed-0.2.0/dimRed/R/nmds.R | 7 dimRed-0.2.0/dimRed/R/nnmf.R |only dimRed-0.2.0/dimRed/R/pca.R | 7 dimRed-0.2.0/dimRed/R/plot.R | 48 ++ dimRed-0.2.0/dimRed/R/quality.R | 87 +++-- dimRed-0.2.0/dimRed/R/rotate.R | 21 - dimRed-0.2.0/dimRed/R/tsne.R | 2 dimRed-0.2.0/dimRed/R/umap.R |only dimRed-0.2.0/dimRed/build |only dimRed-0.2.0/dimRed/inst |only dimRed-0.2.0/dimRed/man/AUC_lnK_R_NX-dimRedResult-method.Rd | 24 + dimRed-0.2.0/dimRed/man/AutoEncoder-class.Rd |only dimRed-0.2.0/dimRed/man/DRR-class.Rd | 12 dimRed-0.2.0/dimRed/man/DiffusionMaps-class.Rd | 18 - dimRed-0.2.0/dimRed/man/DrL-class.Rd | 18 - dimRed-0.2.0/dimRed/man/FastICA-class.Rd | 17 - dimRed-0.2.0/dimRed/man/FruchtermanReingold-class.Rd | 17 - dimRed-0.2.0/dimRed/man/HLLE-class.Rd | 14 dimRed-0.2.0/dimRed/man/Isomap-class.Rd | 23 + dimRed-0.2.0/dimRed/man/KamadaKawai-class.Rd | 18 - dimRed-0.2.0/dimRed/man/LCMC-dimRedResult-method.Rd | 2 dimRed-0.2.0/dimRed/man/LLE-class.Rd | 11 dimRed-0.2.0/dimRed/man/MDS-class.Rd | 15 dimRed-0.2.0/dimRed/man/NNMF-class.Rd |only dimRed-0.2.0/dimRed/man/PCA-class.Rd | 17 - dimRed-0.2.0/dimRed/man/PCA_L1-class.Rd |only dimRed-0.2.0/dimRed/man/Q_NX-dimRedResult-method.Rd | 2 dimRed-0.2.0/dimRed/man/Q_global-dimRedResult-method.Rd | 2 dimRed-0.2.0/dimRed/man/Q_local-dimRedResult-method.Rd | 8 dimRed-0.2.0/dimRed/man/R_NX-dimRedResult-method.Rd | 12 dimRed-0.2.0/dimRed/man/UMAP-class.Rd |only dimRed-0.2.0/dimRed/man/as.dimRedData.Rd | 28 + dimRed-0.2.0/dimRed/man/cophenetic_correlation-dimRedResult-method.Rd | 2 dimRed-0.2.0/dimRed/man/dimRedData-class.Rd | 21 - dimRed-0.2.0/dimRed/man/dimRedMethod-class.Rd | 15 dimRed-0.2.0/dimRed/man/dimRedMethodList.Rd | 16 dimRed-0.2.0/dimRed/man/dimRedResult-class.Rd | 13 dimRed-0.2.0/dimRed/man/distance_correlation-dimRedResult-method.Rd | 2 dimRed-0.2.0/dimRed/man/embed.Rd | 52 +-- dimRed-0.2.0/dimRed/man/getNDim.Rd |only dimRed-0.2.0/dimRed/man/getOtherData.Rd |only dimRed-0.2.0/dimRed/man/getRotationMatrix.Rd | 1 dimRed-0.2.0/dimRed/man/kPCA-class.Rd | 23 + dimRed-0.2.0/dimRed/man/mean_R_NX-dimRedResult-method.Rd | 2 dimRed-0.2.0/dimRed/man/nMDS-class.Rd | 17 - dimRed-0.2.0/dimRed/man/plot.Rd | 5 dimRed-0.2.0/dimRed/man/plot_R_NX.Rd | 37 +- dimRed-0.2.0/dimRed/man/quality.Rd | 4 dimRed-0.2.0/dimRed/man/reconstruction_error-dimRedResult-method.Rd | 6 dimRed-0.2.0/dimRed/man/reconstruction_rmse-dimRedResult-method.Rd | 2 dimRed-0.2.0/dimRed/man/tSNE-class.Rd | 13 dimRed-0.2.0/dimRed/man/total_correlation-dimRedResult-method.Rd | 2 dimRed-0.2.0/dimRed/tests/testthat.R | 2 dimRed-0.2.0/dimRed/tests/testthat/test_ICA.R | 3 dimRed-0.2.0/dimRed/tests/testthat/test_NNMF.R |only dimRed-0.2.0/dimRed/tests/testthat/test_PCA.R | 7 dimRed-0.2.0/dimRed/tests/testthat/test_PCA_L1.R |only dimRed-0.2.0/dimRed/tests/testthat/test_all.R | 32 + dimRed-0.2.0/dimRed/tests/testthat/test_autoencoder.R |only dimRed-0.2.0/dimRed/tests/testthat/test_dimRedData.R | 11 dimRed-0.2.0/dimRed/tests/testthat/test_drr.R | 11 dimRed-0.2.0/dimRed/tests/testthat/test_embed.R |only dimRed-0.2.0/dimRed/tests/testthat/test_isomap.R | 19 + dimRed-0.2.0/dimRed/tests/testthat/test_kPCA.R | 38 +- dimRed-0.2.0/dimRed/tests/testthat/test_misc.R | 10 dimRed-0.2.0/dimRed/tests/testthat/test_quality.R | 33 + dimRed-0.2.0/dimRed/tests/testthat/test_umap.R |only dimRed-0.2.0/dimRed/vignettes |only 91 files changed, 951 insertions(+), 409 deletions(-)
Title: Models Spatially Continuous and Discrete Population Genetic
Structure
Description: A method for modeling genetic data as a combination of discrete
layers, within each of which relatedness may decay continuously with geographic
distance. This package contains code for running analyses (which are implemented
in the modeling language 'rstan') and visualizing and interpreting output. See the
paper for more details on the model and its utility.
Author: Gideon Bradburd [aut, cre]
Maintainer: Gideon Bradburd <bradburd@msu.edu>
Diff between conStruct versions 1.0.1 dated 2018-10-19 and 1.0.2 dated 2018-11-08
DESCRIPTION | 6 MD5 | 16 NEWS.md | 5 inst/doc/format-data.html | 881 ++++++++++++++------------- inst/doc/model-comparison.html | 1296 +++++++++++++++++++++------------------- inst/doc/run-conStruct.html | 740 +++++++++++----------- inst/doc/visualize-results.html | 806 ++++++++++++------------ src/Makevars | 4 src/Makevars.win | 5 9 files changed, 1961 insertions(+), 1798 deletions(-)
Title: High Performance Container Data Types
Description: Provides high performance container data types such as Queue, Stack, Deque, Dict and OrderedDict. Benchmarks <https://randy3k.github.io/collections/articles/benchmark.html> have shown that these containers are asymptotically more efficient than those offered by other packages.
Author: Randy Lai [aut, cre]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>
Diff between collections versions 0.1.2 dated 2018-09-01 and 0.1.3 dated 2018-11-08
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/dict.R | 5 ++++- R/ordereddict.R | 8 ++++++-- 4 files changed, 17 insertions(+), 10 deletions(-)
Title: Check if the Title of a Package is Available, Appropriate and
Interesting
Description: Check if a given package name is available to use. It checks the
name's validity. Checks if it is used on 'GitHub', 'CRAN' and 'Bioconductor'. Checks
for unintended meanings by querying Urban Dictionary, 'Wiktionary' and Wikipedia.
Author: Carl Ganz [aut],
Gábor Csárdi [aut],
Jim Hester [aut, cre],
Molly Lewis [aut],
Rachael Tatman [aut]
Maintainer: Jim Hester <james.f.hester@gmail.com>
Diff between available versions 1.0.1 dated 2018-07-16 and 1.0.2 dated 2018-11-08
DESCRIPTION | 10 +++++----- MD5 | 14 +++++++------- NEWS.md | 6 ++++++ R/available.R | 4 ++-- R/bioc.R | 2 ++ R/get_urban_data.R | 7 +++++++ R/utils.R | 5 +++++ README.md | 1 + 8 files changed, 35 insertions(+), 14 deletions(-)
Title: Fast Generators and Iterators for Permutations, Combinations and
Partitions
Description: Fast generators and iterators for permutations, combinations
and partitions. The iterators allow users to generate arrangements in
a memory efficient manner and the generated arrangements are in
lexicographical (dictionary) order. Permutations and combinations can
be drawn with/without replacement and support multisets. It has been
demonstrated that 'arrangements' outperforms most of the existing
packages of similar kind. Some benchmarks could be found at
<https://randy3k.github.io/arrangements/articles/benchmark.html>.
Author: Randy Lai [aut, cre]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>
Diff between arrangements versions 1.1.4 dated 2018-09-26 and 1.1.5 dated 2018-11-08
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- src/combinations.c | 3 ++- src/partitions.c | 3 ++- src/permutations.c | 3 ++- src/utils.c | 2 ++ 6 files changed, 17 insertions(+), 12 deletions(-)
Title: Robust Estimation for Compositional Data
Description: Methods for analysis of compositional data including robust
methods, imputation, methods to replace rounded zeros, (robust) outlier
detection for compositional data, (robust) principal component analysis for
compositional data, (robust) factor analysis for compositional data, (robust)
discriminant analysis for compositional data (Fisher rule), robust regression
with compositional predictors and (robust) Anderson-Darling normality tests for
compositional data as well as popular log-ratio transformations (addLR, cenLR,
isomLR, and their inverse transformations). In addition, visualisation and
diagnostic tools are implemented as well as high and low-level plot functions
for the ternary diagram.
Author: Matthias Templ [aut, cre],
Karel Hron [aut],
Peter Filzmoser [aut],
Petra Kynclova [ctb],
Jan Walach [ctb],
Veronika Pintar [ctb],
Jiajia Chen [ctb],
Dominika Miksova [ctb]
Maintainer: Matthias Templ <matthias.templ@gmail.com>
Diff between robCompositions versions 2.0.8 dated 2018-05-29 and 2.0.9 dated 2018-11-08
DESCRIPTION | 18 ++-- MD5 | 146 +++++++++++++++++----------------- NAMESPACE | 1 NEWS | 8 + R/dataSets.R | 90 ++++++++++++++++++++ R/imputeBDLs.R | 22 +++-- R/imputeUDLs.R |only R/missPatterns.R | 37 ++++++++ R/pcaCoDa.R | 11 +- build/vignette.rds |binary data/GDPsatis.rda |binary data/ageCatWorld.rda |binary data/alcohol.rda |binary data/alcoholreg.rda |binary data/arcticLake.rda |binary data/cancer.rda |binary data/cancerMN.rda |binary data/chorizonDL.rda |binary data/coffee.rda |binary data/economy.rda |binary data/educFM.rda |binary data/election.rda |binary data/employment.rda |binary data/employment_df.rda |binary data/expenditures.rda |binary data/expendituresEU.rda |binary data/gemas.rda |binary data/gjovik.rda |only data/govexp.rda |binary data/haplogroups.rda |binary data/instw.rda |binary data/isic32.rda |binary data/laborForce.rda |binary data/lifeExpGdp.rda |binary data/machineOperators.rda |binary data/mcad.rda |binary data/mortality.rda |binary data/mortality_tab.rda |binary data/nutrients.rda |binary data/nutrients_branded.rda |binary data/payments.rda |binary data/phd.rda |binary data/phd_totals.rda |binary data/precipitation.rda |binary data/production.rda |binary data/rcodes.rda |binary data/skyeLavas.rda |binary data/socExp.rda |binary data/teachingStuff.rda |binary data/trondelagC.rda |binary data/trondelagO.rda |binary data/unemployed.rda |binary inst/doc/imputation.pdf |binary inst/doc/robCompositions-overview.pdf |binary man/aDist.Rd | 1 man/adtestWrapper.Rd | 2 man/biomarker.Rd | 9 -- man/clustCoDa.Rd | 1 man/coord.Rd | 1 man/daCoDa.Rd | 3 man/daFisher.Rd | 5 - man/gjovik.Rd |only man/gmean.Rd | 1 man/impCoda.Rd | 6 - man/impKNNa.Rd | 5 - man/imputeBDLs.Rd | 12 +- man/imputeUDLs.Rd |only man/missPatterns.Rd | 1 man/outCoDa.Rd | 5 - man/pcaCoDa.Rd | 1 man/perturbation.Rd | 1 man/pfa.Rd | 7 - man/pivotCoord.Rd | 4 man/plot.imp.Rd | 11 +- man/stats.Rd | 4 man/ternaryDiagEllipse.Rd | 4 76 files changed, 278 insertions(+), 139 deletions(-)
More information about robCompositions at CRAN
Permanent link
Title: The Moving Epidemic Method Web Application
Description: The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the weekly assessment of the epidemic and intensity status to help in routine respiratory infections surveillance in health systems. Allows the comparison of different epidemic indicators, timing and shape with past epidemics and across different regions or countries with different surveillance systems. Also, it gives a measure of the performance of the method in terms of sensitivity and specificity of the alert week. 'memapp' is a web application created in the Shiny framework for the 'mem' R package.
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo@gmail.com>
Diff between memapp versions 2.10 dated 2018-06-02 and 2.11 dated 2018-11-08
DESCRIPTION | 19 ++-- MD5 | 10 +- README.md | 2 inst/shinyapp/helpers.R | 92 +++++++++++++++--------- inst/shinyapp/server.R | 92 ++++++++++++++++-------- inst/shinyapp/ui.R | 184 ++++++++++++++++++++++++------------------------ 6 files changed, 235 insertions(+), 164 deletions(-)
Title: The Moving Epidemic Method
Description: The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the weekly assessment of the epidemic and intensity status to help in routine respiratory infections surveillance in health systems. Allows the comparison of different epidemic indicators, timing and shape with past epidemics and across different regions or countries with different surveillance systems. Also, it gives a measure of the performance of the method in terms of sensitivity and specificity of the alert week.
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo@gmail.com>
Diff between mem versions 2.13 dated 2018-06-01 and 2.14 dated 2018-11-08
DESCRIPTION | 15 MD5 | 114 +++--- NAMESPACE | 6 R/add.alpha.R | 13 R/calcular.indicadores.2.timings.R | 2 R/calcular.optimo.R | 6 R/fill.missing.R | 10 R/iconfianza.R | 32 + R/iconfianza.aritmetica.R | 38 +- R/iconfianza.completo.R | 35 +- R/iconfianza.geometrica.R | 26 - R/iconfianza.logx.R | 25 - R/iconfianza.percentil.boot.R | 57 +-- R/iconfianza.percentil.eqnpar.R | 68 ++-- R/iconfianza.percentil.kc.R | 40 +- R/iconfianza.x.R | 33 + R/max.fix.na.R | 12 R/max.n.valores.R | 14 R/memgoodness.R | 440 +++++++++++++------------- R/memintensity.R | 20 - R/memmodel.R | 575 +++++++++++++++++----------------- R/memsurveillance.R | 1 R/memtiming.R | 6 R/min.n.valores.R | 10 R/missings.inside.R | 16 R/normalizar.R | 8 R/output.ci.R | 19 - R/percentage.added.R | 12 R/roc.analysis.R | 393 ++++++++++++----------- R/semana.absoluta.R | 4 R/suavizado.R | 24 - R/transformdata.R | 26 + R/transformdata.back.R | 26 + R/transformseries.loess.R | 7 R/transformseries.multiple.R | 359 +++++++++++---------- R/transformseries.twowaves.R | 158 +++++---- man/calcular.indicadores.2.timings.Rd | 4 man/calcular.optimo.Rd | 2 man/epimem.Rd | 4 man/full.series.graph.Rd | 13 man/iconfianza.Rd | 5 man/iconfianza.aritmetica.Rd | 3 man/iconfianza.completo.Rd | 2 man/iconfianza.geometrica.Rd | 3 man/iconfianza.logx.Rd | 2 man/iconfianza.percentil.kc.Rd | 3 man/iconfianza.x.Rd | 2 man/memgoodness.Rd | 17 - man/memmodel.Rd | 11 man/memsurveillance.Rd | 14 man/memsurveillance.animated.Rd | 6 man/optimal.tickmarks.Rd | 5 man/optimum.by.inspection.Rd | 6 man/roc.analysis.Rd | 9 man/transformdata.Rd | 4 man/transformseries.loess.Rd | 2 man/transformseries.multiple.Rd | 4 man/transformseries.twowaves.Rd | 2 58 files changed, 1469 insertions(+), 1304 deletions(-)
Title: Estimation of Parameter-Dependent Network Centrality Measures
Description: Provides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both non linear least squares and maximum likelihood estimators are implemented. The methods allow for both link and node heterogeneity in network effects, endogenous network formation and the presence of unconnected nodes. The routines also compare the explanatory power of parameter-dependent network centrality measures with those of standard measures of network centrality. Benefits and features of the 'econet' package are illustrated using data from Battaglini and Patacchini (2018), which examine the determinants of US campaign contributions when legislators care about the behavior of other legislators to whom they are socially connected. For additional details, see the vignette.
Author: Marco Battaglini [aut] (<https://orcid.org/0000-0001-9690-0721>),
Valerio Leone Sciabolazza [aut, cre]
(<https://orcid.org/0000-0003-2537-3084>),
Eleonora Patacchini [aut] (<https://orcid.org/0000-0002-3510-2969>),
Sida Peng [aut] (<https://orcid.org/0000-0002-2151-0523>)
Maintainer: Valerio Leone Sciabolazza <valerio.leonesciabolazza@uniparthenope.it>
Diff between econet versions 0.1.7 dated 2018-08-13 and 0.1.81 dated 2018-11-08
econet-0.1.7/econet/R/G_alumni_109.R |only econet-0.1.7/econet/R/G_alumni_110.R |only econet-0.1.7/econet/R/G_alumni_112.R |only econet-0.1.7/econet/R/G_alumni_113.R |only econet-0.1.7/econet/R/G_cosponsor_109.R |only econet-0.1.7/econet/R/G_cosponsor_110.R |only econet-0.1.7/econet/R/G_cosponsor_112.R |only econet-0.1.7/econet/R/G_cosponsor_113.R |only econet-0.1.7/econet/R/a_G_alumni_109.R |only econet-0.1.7/econet/R/a_G_alumni_110.R |only econet-0.1.7/econet/R/a_G_alumni_112.R |only econet-0.1.7/econet/R/a_G_alumni_113.R |only econet-0.1.7/econet/R/a_G_party_109.R |only econet-0.1.7/econet/R/a_G_party_110.R |only econet-0.1.7/econet/R/a_G_party_111.R |only econet-0.1.7/econet/R/a_G_party_112.R |only econet-0.1.7/econet/R/a_G_party_113.R |only econet-0.1.7/econet/data/G_alumni_109.rda |only econet-0.1.7/econet/data/G_alumni_110.rda |only econet-0.1.7/econet/data/G_alumni_112.rda |only econet-0.1.7/econet/data/G_alumni_113.rda |only econet-0.1.7/econet/data/G_cosponsor_109.rda |only econet-0.1.7/econet/data/G_cosponsor_110.rda |only econet-0.1.7/econet/data/G_cosponsor_112.rda |only econet-0.1.7/econet/data/G_cosponsor_113.rda |only econet-0.1.7/econet/data/a_G_alumni_109.rda |only econet-0.1.7/econet/data/a_G_alumni_110.rda |only econet-0.1.7/econet/data/a_G_alumni_112.rda |only econet-0.1.7/econet/data/a_G_alumni_113.rda |only econet-0.1.7/econet/data/a_G_party_109.rda |only econet-0.1.7/econet/data/a_G_party_110.rda |only econet-0.1.7/econet/data/a_G_party_111.rda |only econet-0.1.7/econet/data/a_G_party_112.rda |only econet-0.1.7/econet/data/a_G_party_113.rda |only econet-0.1.7/econet/man/G_alumni_109.Rd |only econet-0.1.7/econet/man/G_alumni_110.Rd |only econet-0.1.7/econet/man/G_alumni_112.Rd |only econet-0.1.7/econet/man/G_alumni_113.Rd |only econet-0.1.7/econet/man/G_cosponsor_109.Rd |only econet-0.1.7/econet/man/G_cosponsor_110.Rd |only econet-0.1.7/econet/man/G_cosponsor_112.Rd |only econet-0.1.7/econet/man/G_cosponsor_113.Rd |only econet-0.1.7/econet/man/a_G_alumni_109.Rd |only econet-0.1.7/econet/man/a_G_alumni_110.Rd |only econet-0.1.7/econet/man/a_G_alumni_112.Rd |only econet-0.1.7/econet/man/a_G_alumni_113.Rd |only econet-0.1.7/econet/man/a_G_party_109.Rd |only econet-0.1.7/econet/man/a_G_party_110.Rd |only econet-0.1.7/econet/man/a_G_party_111.Rd |only econet-0.1.7/econet/man/a_G_party_112.Rd |only econet-0.1.7/econet/man/a_G_party_113.Rd |only econet-0.1.81/econet/DESCRIPTION | 8 econet-0.1.81/econet/MD5 | 81 - econet-0.1.81/econet/R/boot.R | 2 econet-0.1.81/econet/R/horse_race.R | 2 econet-0.1.81/econet/R/net_dep.R | 4 econet-0.1.81/econet/R/quantify.R | 2 econet-0.1.81/econet/build/vignette.rds |binary econet-0.1.81/econet/data/a_db_alumni.rda |binary econet-0.1.81/econet/data/db_alumni_test.rda |binary econet-0.1.81/econet/data/db_cosponsor.rda |binary econet-0.1.81/econet/inst/doc/econet.pdf |binary econet-0.1.81/econet/man/boot.Rd | 2 econet-0.1.81/econet/man/horse_race.Rd | 2 econet-0.1.81/econet/man/net_dep.Rd | 4 econet-0.1.81/econet/man/quantify.Rd | 2 econet-0.1.81/econet/vignettes/econet.tex | 1380 +++++++++++++-------------- 67 files changed, 701 insertions(+), 788 deletions(-)
Title: Deep Learning with Metaheuristic
Description: Fits from simple regression to highly customizable deep neural networks
either with gradient descent or metaheuristic, using automatic hyper parameters
tuning and custom cost function.
A mix inspired by the common tricks on Deep Learning and Particle Swarm Optimization.
Author: Alex Boulangé <aboul@free.fr>
Maintainer: Alex Boulangé <alex@socialintelligence.fr>
Diff between automl versions 1.0.6 dated 2018-10-21 and 1.0.8 dated 2018-11-08
DESCRIPTION | 6 - MD5 | 20 ++--- NEWS | 12 +++ R/automl.R | 156 +++++++++++++++++++++++++++++++++++++++++---- inst/doc/howto_automl.Rnw | 149 +++++++++++++++++++++++++++--------------- inst/doc/howto_automl.pdf |binary man/automl_predict.Rd | 2 man/autopar.Rd | 13 +++ man/hpar.Rd | 4 - man/pso.Rd | 2 vignettes/howto_automl.Rnw | 149 +++++++++++++++++++++++++++--------------- 11 files changed, 377 insertions(+), 136 deletions(-)
Title: Synoptic Climate Classification and Spatial Regionalization of
Environmental Data
Description: Computes a synoptic climate classification through daily reanalysis data and
creates a climate or environmental regionalization.
Author: Marc Lemus-Canovas
Maintainer: Marc Lemus-Canovas <mlemus@ub.edu>
Diff between synoptReg versions 0.1.0 dated 2018-10-02 and 0.2.0 dated 2018-11-08
synoptReg-0.1.0/synoptReg/R/cwt_env_raststack.R |only synoptReg-0.1.0/synoptReg/R/plot_clas.R |only synoptReg-0.1.0/synoptReg/R/plot_env.R |only synoptReg-0.1.0/synoptReg/man/cwt_env_raststack.Rd |only synoptReg-0.1.0/synoptReg/man/plot_clas.Rd |only synoptReg-0.1.0/synoptReg/man/plot_env.Rd |only synoptReg-0.2.0/synoptReg/DESCRIPTION | 6 - synoptReg-0.2.0/synoptReg/MD5 | 32 ++--- synoptReg-0.2.0/synoptReg/NAMESPACE | 36 ++---- synoptReg-0.2.0/synoptReg/R/raster_clas.R |only synoptReg-0.2.0/synoptReg/R/raster_cwt2env.R |only synoptReg-0.2.0/synoptReg/R/read_nc.R | 84 +++++++-------- synoptReg-0.2.0/synoptReg/man/mslp.Rd | 60 +++++----- synoptReg-0.2.0/synoptReg/man/pca_decision.Rd | 70 ++++++------ synoptReg-0.2.0/synoptReg/man/precp_grid.Rd | 60 +++++----- synoptReg-0.2.0/synoptReg/man/raster_clas.Rd |only synoptReg-0.2.0/synoptReg/man/raster_cwt2env.Rd |only synoptReg-0.2.0/synoptReg/man/raster_pca.Rd | 48 ++++---- synoptReg-0.2.0/synoptReg/man/read_nc.Rd | 52 ++++----- synoptReg-0.2.0/synoptReg/man/regionalization.Rd | 56 +++++----- synoptReg-0.2.0/synoptReg/man/synoptclas.Rd | 116 ++++++++++----------- synoptReg-0.2.0/synoptReg/man/tidy_cuttime_nc.Rd | 86 +++++++-------- 22 files changed, 349 insertions(+), 357 deletions(-)
Title: Generate Standardized Data
Description: Creates simulated data from structural equation models with standardized loading.
Author: W. Joel Schneider [aut, cre] (<https://orcid.org/0000-0002-8393-5316>)
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>
Diff between simstandard versions 0.1.0 dated 2018-10-16 and 0.2.0 dated 2018-11-08
simstandard-0.1.0/simstandard/vignettes/Model.gif |only simstandard-0.1.0/simstandard/vignettes/ModelFigure.png |only simstandard-0.2.0/simstandard/DESCRIPTION | 21 simstandard-0.2.0/simstandard/MD5 | 47 simstandard-0.2.0/simstandard/NAMESPACE | 6 simstandard-0.2.0/simstandard/NEWS.md |only simstandard-0.2.0/simstandard/R/main.R | 195 +- simstandard-0.2.0/simstandard/R/utils-pipe.R |only simstandard-0.2.0/simstandard/README.md | 50 simstandard-0.2.0/simstandard/build/vignette.rds |binary simstandard-0.2.0/simstandard/inst/doc/simstandard_tutorial.R | 99 - simstandard-0.2.0/simstandard/inst/doc/simstandard_tutorial.Rmd | 136 + simstandard-0.2.0/simstandard/inst/doc/simstandard_tutorial.html | 949 +++++----- simstandard-0.2.0/simstandard/man/add_factor_scores.Rd |only simstandard-0.2.0/simstandard/man/figures |only simstandard-0.2.0/simstandard/man/fixed2free.Rd |only simstandard-0.2.0/simstandard/man/model_complete.Rd |only simstandard-0.2.0/simstandard/man/pipe.Rd |only simstandard-0.2.0/simstandard/man/sim_standardized.Rd | 5 simstandard-0.2.0/simstandard/man/sim_standardized_matrices.Rd | 7 simstandard-0.2.0/simstandard/tests |only simstandard-0.2.0/simstandard/vignettes/ModelFigure.pdf |binary simstandard-0.2.0/simstandard/vignettes/ModelFigure.svg | 346 +-- simstandard-0.2.0/simstandard/vignettes/ModelFigure.tex | 41 simstandard-0.2.0/simstandard/vignettes/ModelFigureComplete.pdf |binary simstandard-0.2.0/simstandard/vignettes/ModelFigureComplete.svg | 378 +-- simstandard-0.2.0/simstandard/vignettes/ModelFigureComplete.tex | 33 simstandard-0.2.0/simstandard/vignettes/VignetteStyle.css |only simstandard-0.2.0/simstandard/vignettes/logo.png |only simstandard-0.2.0/simstandard/vignettes/simstandard_tutorial.Rmd | 136 + 30 files changed, 1503 insertions(+), 946 deletions(-)
Title: Miscellaneous Functions for the USGS INL Project Office
Description: A collection of functions for creating high-level graphics,
performing raster-based analysis, processing MODFLOW-based models,
selecting subsets using a genetic algorithm, creating interactive web maps,
accessing color palettes, etc. Used to support packages and scripts written
by researchers at the United States Geological Survey (USGS)
Idaho National Laboratory (INL) Project Office.
Author: Jason C. Fisher [aut, cre] (<https://orcid.org/0000-0001-9032-8912>)
Maintainer: Jason C. Fisher <jfisher@usgs.gov>
Diff between inlmisc versions 0.4.3 dated 2018-09-10 and 0.4.4 dated 2018-11-08
inlmisc-0.4.3/inlmisc/R/GetTolColors.R |only inlmisc-0.4.3/inlmisc/inst/htmlwidgets/plugins/leaflet-search/images |only inlmisc-0.4.3/inlmisc/man/GetTolColors.Rd |only inlmisc-0.4.4/inlmisc/DESCRIPTION | 27 - inlmisc-0.4.4/inlmisc/LICENSE.note | 171 ++----- inlmisc-0.4.4/inlmisc/MD5 | 209 ++++++--- inlmisc-0.4.4/inlmisc/NAMESPACE | 7 inlmisc-0.4.4/inlmisc/NEWS.md | 53 ++ inlmisc-0.4.4/inlmisc/R/AddColorKey.R | 89 ++-- inlmisc-0.4.4/inlmisc/R/AddGradientLegend.R | 70 +-- inlmisc-0.4.4/inlmisc/R/AddInsetMap.R | 22 - inlmisc-0.4.4/inlmisc/R/AddNorthArrow.R | 12 inlmisc-0.4.4/inlmisc/R/AddPoints.R | 92 ++-- inlmisc-0.4.4/inlmisc/R/AddScaleBar.R | 22 - inlmisc-0.4.4/inlmisc/R/AddWebMapElements.R | 108 ++-- inlmisc-0.4.4/inlmisc/R/BuildVignettes.R |only inlmisc-0.4.4/inlmisc/R/BumpDisconnectCells.R | 34 - inlmisc-0.4.4/inlmisc/R/BumpRiverStage.R | 24 - inlmisc-0.4.4/inlmisc/R/CreateWebMap.R | 93 ++-- inlmisc-0.4.4/inlmisc/R/Deprecated.R |only inlmisc-0.4.4/inlmisc/R/ExportRasterStack.R | 38 + inlmisc-0.4.4/inlmisc/R/ExtractAlongTransect.R | 40 - inlmisc-0.4.4/inlmisc/R/FindOptimalSubset.R | 123 ++--- inlmisc-0.4.4/inlmisc/R/FormatPval.R | 30 - inlmisc-0.4.4/inlmisc/R/GetColors.R |only inlmisc-0.4.4/inlmisc/R/GetDaysInMonth.R | 18 inlmisc-0.4.4/inlmisc/R/GetInsetLocation.R | 65 +- inlmisc-0.4.4/inlmisc/R/GetRegionOfInterest.R |only inlmisc-0.4.4/inlmisc/R/Grid2Polygons.R | 62 +- inlmisc-0.4.4/inlmisc/R/POSIXct2Character.R | 17 inlmisc-0.4.4/inlmisc/R/PlotCrossSection.R | 217 ++++++---- inlmisc-0.4.4/inlmisc/R/PlotGraph.R | 89 ++-- inlmisc-0.4.4/inlmisc/R/PlotMap.R | 122 ++--- inlmisc-0.4.4/inlmisc/R/PrintFigure.R | 41 - inlmisc-0.4.4/inlmisc/R/PrintTable.R | 72 +-- inlmisc-0.4.4/inlmisc/R/ReadCodeChunks.R | 15 inlmisc-0.4.4/inlmisc/R/ReadModflowBinary.R | 145 ++++-- inlmisc-0.4.4/inlmisc/R/RecreateLibrary.R | 86 ++- inlmisc-0.4.4/inlmisc/R/ReplaceInTemplate.R | 26 - inlmisc-0.4.4/inlmisc/R/RmSmallCellChunks.R | 15 inlmisc-0.4.4/inlmisc/R/SetHinge.R |only inlmisc-0.4.4/inlmisc/R/SetPolygons.R | 36 - inlmisc-0.4.4/inlmisc/R/SummariseBudget.R | 140 +++--- inlmisc-0.4.4/inlmisc/R/ToScientific.R | 43 - inlmisc-0.4.4/inlmisc/R/sysdata.rda |only inlmisc-0.4.4/inlmisc/README.md | 24 - inlmisc-0.4.4/inlmisc/inst/htmlwidgets/plugins/leaflet-search/leaflet-search-binding.js | 51 -- inlmisc-0.4.4/inlmisc/inst/htmlwidgets/plugins/leaflet-search/leaflet-search.min.css | 36 - inlmisc-0.4.4/inlmisc/inst/htmlwidgets/plugins/leaflet-search/leaflet-search.min.js | 34 - inlmisc-0.4.4/inlmisc/inst/htmlwidgets/plugins/leaflet-search/loader.gif |only inlmisc-0.4.4/inlmisc/inst/htmlwidgets/plugins/leaflet-search/search-icon.png |only inlmisc-0.4.4/inlmisc/inst/htmlwidgets/plugins/usgs-search |only inlmisc-0.4.4/inlmisc/inst/raw |only inlmisc-0.4.4/inlmisc/man/AddColorKey.Rd | 60 +- inlmisc-0.4.4/inlmisc/man/AddGradientLegend.Rd | 49 +- inlmisc-0.4.4/inlmisc/man/AddInsetMap.Rd | 20 inlmisc-0.4.4/inlmisc/man/AddNorthArrow.Rd | 10 inlmisc-0.4.4/inlmisc/man/AddPoints.Rd | 76 +-- inlmisc-0.4.4/inlmisc/man/AddScaleBar.Rd | 18 inlmisc-0.4.4/inlmisc/man/AddWebMapElements.Rd | 45 +- inlmisc-0.4.4/inlmisc/man/BuildVignettes.Rd |only inlmisc-0.4.4/inlmisc/man/BumpDisconnectCells.Rd | 17 inlmisc-0.4.4/inlmisc/man/BumpRiverStage.Rd | 8 inlmisc-0.4.4/inlmisc/man/CreateWebMap.Rd | 33 - inlmisc-0.4.4/inlmisc/man/Deprecated.Rd |only inlmisc-0.4.4/inlmisc/man/EncodeChromosome.Rd | 8 inlmisc-0.4.4/inlmisc/man/ExportRasterStack.Rd | 29 - inlmisc-0.4.4/inlmisc/man/ExtractAlongTransect.Rd | 8 inlmisc-0.4.4/inlmisc/man/FindOptimalSubset.Rd | 47 +- inlmisc-0.4.4/inlmisc/man/FormatPval.Rd | 23 - inlmisc-0.4.4/inlmisc/man/GetColors.Rd |only inlmisc-0.4.4/inlmisc/man/GetDaysInMonth.Rd | 12 inlmisc-0.4.4/inlmisc/man/GetInsetLocation.Rd | 49 +- inlmisc-0.4.4/inlmisc/man/GetRegionOfInterest.Rd |only inlmisc-0.4.4/inlmisc/man/Grid2Polygons.Rd | 37 - inlmisc-0.4.4/inlmisc/man/IsPackageInstalled.Rd | 12 inlmisc-0.4.4/inlmisc/man/POSIXct2Character.Rd | 10 inlmisc-0.4.4/inlmisc/man/PlotCrossSection.Rd | 132 +++--- inlmisc-0.4.4/inlmisc/man/PlotGraph.Rd | 81 +-- inlmisc-0.4.4/inlmisc/man/PlotMap.Rd | 96 ++-- inlmisc-0.4.4/inlmisc/man/PrintFigure.Rd | 29 - inlmisc-0.4.4/inlmisc/man/PrintTable.Rd | 57 +- inlmisc-0.4.4/inlmisc/man/ReadCodeChunks.Rd | 12 inlmisc-0.4.4/inlmisc/man/ReadModflowBinary.Rd | 21 inlmisc-0.4.4/inlmisc/man/RecreateLibrary.Rd | 35 - inlmisc-0.4.4/inlmisc/man/ReplaceInTemplate.Rd | 11 inlmisc-0.4.4/inlmisc/man/RmSmallCellChunks.Rd | 7 inlmisc-0.4.4/inlmisc/man/SetHinge.Rd |only inlmisc-0.4.4/inlmisc/man/SetPolygons.Rd | 13 inlmisc-0.4.4/inlmisc/man/SummariseBudget.Rd | 25 - inlmisc-0.4.4/inlmisc/man/ToScientific.Rd | 32 - inlmisc-0.4.4/inlmisc/man/figures |only 92 files changed, 1953 insertions(+), 1787 deletions(-)