Title: A Pipeline to Define Gene Families in Legumes and Beyond
Description: A pipeline with high specificity and sensitivity in extracting
proteins from the RefSeq database (National Center for Biotechnology
Information). Manual identification of gene families is highly
time-consuming and laborious, requiring an iterative process of manual and
computational analysis to identify members of a given family. The pipelines
implements an automatic approach for the identification of gene families
based on the conserved domains that specifically define that family. See
Die et al. (2018) <doi:10.1101/436659> for more information and examples.
Author: Jose V. Die [aut, cre] (<https://orcid.org/0000-0002-7506-8590>),
Moamen M. Elmassry [ctb],
Kimberly H. LeBlanc [ctb],
Olaitan I. Awe [ctb],
Allissa Dillman [ctb],
Ben Busby [aut]
Maintainer: Jose V. Die <jose.die@uco.es>
Diff between geneHummus versions 1.0.1 dated 2019-03-26 and 1.0.11 dated 2019-04-04
DESCRIPTION | 28 ++++++++++++------------ MD5 | 34 +++++++++++++++++++---------- NAMESPACE | 1 R/accessions_warning.R |only R/archids_warning.R |only R/filterArch_ids.R | 27 +++++------------------ R/filterarchids_warning.R |only R/getAccessions.R | 46 ++++++---------------------------------- R/getArch_ids.R | 24 ++++++-------------- R/getArch_labels.R | 15 ++++++------- R/getProteins_from_tax_ids.R | 43 ++++++++++++------------------------- R/getProtlinks.R | 4 +-- R/labels_warning.R |only R/proteins_warning.R |only README.md | 2 - man/accessions_warning.Rd |only man/archids_warning.Rd |only man/filterarchids_warning.Rd |only man/getArch_ids.Rd | 9 +------ man/getArch_labels.Rd | 3 +- man/getProteins_from_tax_ids.Rd | 5 ++-- man/labels_warning.Rd |only man/proteins_warning.Rd |only 23 files changed, 91 insertions(+), 150 deletions(-)
Title: Statistical Procedures for Agricultural Research
Description: Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.
Author: Felipe de Mendiburu
Maintainer: Felipe de Mendiburu <fmendiburu@lamolina.edu.pe>
Diff between agricolae versions 1.3-0 dated 2019-01-07 and 1.3-1 dated 2019-04-04
DESCRIPTION | 8 - MD5 | 34 ++-- NEWS | 7 R/duncan.test.R | 2 R/index.bio.R | 2 R/scheffe.test.R | 4 inst/doc/tutorial.R | 272 ++++++++++++++++++------------------ inst/doc/tutorial.Rnw | 350 +++++++++++++++++++++++++++++++---------------- inst/doc/tutorial.pdf |binary man/HSD.test.Rd | 8 - man/LSD.test.Rd | 8 - man/REGW.test.Rd | 6 man/SNK.test.Rd | 7 man/agricolae-package.Rd | 4 man/duncan.test.Rd | 10 - man/scheffe.test.Rd | 9 - man/waller.test.Rd | 12 + vignettes/tutorial.Rnw | 350 +++++++++++++++++++++++++++++++---------------- 18 files changed, 684 insertions(+), 409 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 0.1.5 dated 2019-03-07 and 0.1.6 dated 2019-04-04
DESCRIPTION | 10 +- MD5 | 45 ++++----- R/deque.R | 55 ++++++++--- R/dict.R | 30 ++++-- R/ordereddict.R | 88 +++++++++++-------- R/priorityqueue.R | 23 +++- R/queue.R | 39 ++++++-- R/stack.R | 39 ++++++-- man/Deque.Rd | 6 + man/DequeL.Rd | 6 + man/Dict.Rd | 12 +- man/OrderedDict.Rd | 12 +- man/OrderedDictL.Rd | 12 +- man/PriorityQueue.Rd | 9 + man/Queue.Rd | 6 + man/QueueL.Rd | 6 + man/Stack.Rd | 6 + man/StackL.Rd | 6 + tests/testthat/test_deque.R | 166 ++++-------------------------------- tests/testthat/test_dict.R |only tests/testthat/test_ordereddict.R | 46 ++------- tests/testthat/test_priorityqueue.R | 18 --- tests/testthat/test_queue.R | 46 +-------- tests/testthat/test_stack.R | 45 +-------- 24 files changed, 331 insertions(+), 400 deletions(-)
Title: No-U-Turn MCMC Sampling for 'ADMB' and 'TMB' Models
Description: Bayesian inference using the no-U-turn (NUTS) algorithm by
Hoffman and Gelman (2014) <http://www.jmlr.org/papers/v15/hoffman14a.html>.
Designed for 'AD Model Builder' ('ADMB') models,
or when R functions for log-density and log-density gradient
are available, such as 'Template Model Builder' ('TMB')
models and other special cases. Functionality is similar to 'Stan',
and the 'rstan' and 'shinystan' packages are used for diagnostics and
inference.
Author: Cole Monnahan [aut, cre]
Maintainer: Cole Monnahan <monnahc@uw.edu>
Diff between adnuts versions 1.0.0 dated 2018-02-08 and 1.0.1 dated 2019-04-04
adnuts-1.0.0/adnuts/R/helper.R |only adnuts-1.0.1/adnuts/DESCRIPTION | 15 adnuts-1.0.1/adnuts/MD5 | 42 + adnuts-1.0.1/adnuts/NAMESPACE | 2 adnuts-1.0.1/adnuts/NEWS.md | 17 adnuts-1.0.1/adnuts/R/sample_admb.R | 24 - adnuts-1.0.1/adnuts/R/utils.R |only adnuts-1.0.1/adnuts/README.md | 45 + adnuts-1.0.1/adnuts/build/vignette.rds |binary adnuts-1.0.1/adnuts/inst/CITATION |only adnuts-1.0.1/adnuts/inst/demo.R | 1 adnuts-1.0.1/adnuts/inst/doc/adnuts.Rmd | 19 adnuts-1.0.1/adnuts/inst/doc/adnuts.html | 502 +++++++--------------- adnuts-1.0.1/adnuts/man/check_identifiable.Rd |only adnuts-1.0.1/adnuts/man/dot-getADMBHessian.Rd |only adnuts-1.0.1/adnuts/man/extract_sampler_params.Rd | 2 adnuts-1.0.1/adnuts/man/extract_samples.Rd | 5 adnuts-1.0.1/adnuts/man/launch_shinyadmb.Rd | 2 adnuts-1.0.1/adnuts/man/launch_shinytmb.Rd | 2 adnuts-1.0.1/adnuts/man/sample_admb.Rd | 8 adnuts-1.0.1/adnuts/man/sample_admb_rwm.Rd | 3 adnuts-1.0.1/adnuts/man/sample_inits.Rd |only adnuts-1.0.1/adnuts/vignettes/adnuts.Rmd | 19 adnuts-1.0.1/adnuts/vignettes/fit.admb.RDS |binary adnuts-1.0.1/adnuts/vignettes/refs.bib | 9 25 files changed, 312 insertions(+), 405 deletions(-)
Title: Quantifying Performance of a Binary Classifier Through Weight of
Evidence
Description: The distributions of the weight of evidence (log Bayes factor) favouring case over noncase status in a test dataset (or test folds generated by cross-validation) can be used to quantify the performance of a diagnostic test (McKeigue (2018), <doi:10.1177/0962280218776989>). The package can be used with any test dataset on which you have observed case-control status and have computed prior and posterior probabilities of case status using a model learned on a training dataset. To quantify how the predictor will behave as a risk stratifier, the quantiles of the distributions of weight of evidence in cases and controls can be calculated and plotted.
Author: Paul McKeigue [aut] (<https://orcid.org/0000-0002-5217-1034>),
Marco Colombo [ctb, cre] (<https://orcid.org/0000-0001-6672-0623>)
Maintainer: Marco Colombo <mar.colombo13@gmail.com>
Diff between wevid versions 0.5.2 dated 2018-12-16 and 0.6 dated 2019-04-04
DESCRIPTION | 10 ++--- MD5 | 16 ++++----- NAMESPACE | 2 + R/plots.R | 3 - R/wdists.R | 81 ++++++++++++++++++++++++++++-------------------- R/wevid.R | 2 - man/Wdensities.Rd | 28 +++++----------- man/Wdensities.crude.Rd | 7 +--- man/plotWdists.Rd | 3 - 9 files changed, 79 insertions(+), 73 deletions(-)
Title: Test Bench for the Comparison of Imputation Methods
Description: Provides a test bench for the comparison of missing data imputation
methods in uni-variate time series. Imputation methods are compared using
different error metrics. Proposed imputation methods and alternative error
metrics can be used.
Author: Neeraj Bokde [aut],
Marcus W. Beck [cre, aut]
Maintainer: Marcus W. Beck <mbafs2012@gmail.com>
Diff between imputeTestbench versions 3.0.1 dated 2017-06-23 and 3.0.2 dated 2019-04-04
DESCRIPTION | 10 +++++----- MD5 | 10 +++++----- inst/CITATION | 40 ++++++++++++++++++++++++++++++++-------- man/impute_errors.Rd | 11 ++++++----- man/plot_impute.Rd | 7 ++++--- man/sample_dat.Rd | 4 ++-- 6 files changed, 54 insertions(+), 28 deletions(-)
More information about imputeTestbench at CRAN
Permanent link
Title: S4 Classes for Elliptically Contoured Distributions
Description: Distribution (S4-)classes for elliptically contoured distributions (based on
package 'distr').
Author: Peter Ruckdeschel [aut, cre, cph]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>
Diff between distrEllipse versions 2.7.0 dated 2018-07-23 and 2.8.0 dated 2019-04-04
DESCRIPTION | 26 +++++++++++++------------- MD5 | 10 +++++----- R/EllipticalDistribution.R | 2 +- R/MVMixingDistribution.R | 42 ++++++++++++++++++++++++++++++++++-------- inst/NEWS | 16 ++++++++++++++++ man/0distrEllipse-package.Rd | 36 ++++++------------------------------ 6 files changed, 75 insertions(+), 57 deletions(-)
More information about changedetection at CRAN
Permanent link
Title: Variance Estimation for Sample Surveys by the Ultimate Cluster
Method
Description: Generation of domain variables, linearization of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow,Theory, vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John Wiley and Sons), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre],
Martins Liberts [aut],
Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>
Diff between vardpoor versions 0.14.0 dated 2019-02-14 and 0.15.0 dated 2019-04-04
vardpoor-0.14.0/vardpoor/R/vardcros.R |only vardpoor-0.15.0/vardpoor/DESCRIPTION | 14 +- vardpoor-0.15.0/vardpoor/MD5 | 58 ++++----- vardpoor-0.15.0/vardpoor/NAMESPACE | 3 vardpoor-0.15.0/vardpoor/R/domain.R | 12 - vardpoor-0.15.0/vardpoor/R/vardbootstr.R |only vardpoor-0.15.0/vardpoor/R/vardcro2s.R |only vardpoor-0.15.0/vardpoor/man/domain.Rd | 146 +++++++++++------------ vardpoor-0.15.0/vardpoor/man/lin.ratio.Rd | 1 vardpoor-0.15.0/vardpoor/man/linarpr.Rd | 2 vardpoor-0.15.0/vardpoor/man/linarpt.Rd | 2 vardpoor-0.15.0/vardpoor/man/linarr.Rd | 2 vardpoor-0.15.0/vardpoor/man/lingini.Rd | 1 vardpoor-0.15.0/vardpoor/man/lingini2.Rd | 1 vardpoor-0.15.0/vardpoor/man/lingpg.Rd | 2 vardpoor-0.15.0/vardpoor/man/linpoormed.Rd | 1 vardpoor-0.15.0/vardpoor/man/linqsr.Rd | 1 vardpoor-0.15.0/vardpoor/man/linrmir.Rd | 2 vardpoor-0.15.0/vardpoor/man/linrmpg.Rd | 1 vardpoor-0.15.0/vardpoor/man/vardannual.Rd | 5 vardpoor-0.15.0/vardpoor/man/vardbootstr.Rd |only vardpoor-0.15.0/vardpoor/man/vardchanges.Rd | 2 vardpoor-0.15.0/vardpoor/man/vardchangespoor.Rd | 2 vardpoor-0.15.0/vardpoor/man/vardchangstrs.Rd | 1 vardpoor-0.15.0/vardpoor/man/vardcros.Rd | 1 vardpoor-0.15.0/vardpoor/man/vardcrospoor.Rd | 2 vardpoor-0.15.0/vardpoor/man/vardom.Rd | 1 vardpoor-0.15.0/vardpoor/man/vardom_othstr.Rd | 1 vardpoor-0.15.0/vardpoor/man/vardomh.Rd | 1 vardpoor-0.15.0/vardpoor/man/vardpoor-package.Rd | 8 - vardpoor-0.15.0/vardpoor/man/variance_othstr.Rd | 3 vardpoor-0.15.0/vardpoor/man/varpoord.Rd | 1 32 files changed, 149 insertions(+), 128 deletions(-)
Title: Fit Continuous-Time State-Space Models for Filtering Argos
Satellite (and Other) Telemetry Data
Description: Fits continuous-time random walk and correlated random walk state-space models to filter Argos satellite location data. Template Model Builder ('TMB') is used for fast estimation. The Argos data can be: (older) least squares-based locations; (newer) Kalman filter-based locations with error ellipse information; or a mixture of both. Separate measurement models are used for these two data types. The models estimate two sets of location states corresponding to: 1) each observation, which are (usually) irregularly timed; and 2) user-specified time intervals (regular or irregular). Jonsen I, McMahon CR, Patterson TA, Auger-Methe M, Harcourt R, Hindell MA, Bestley S (2019) Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model. Ecology 100:e02566 <doi:10.1002/ecy.2566>.
Author: Ian Jonsen [aut, cre],
Toby Patterson [aut, ctb]
Maintainer: Ian Jonsen <ian.jonsen@mq.edu.au>
Diff between foieGras versions 0.2.0 dated 2019-04-02 and 0.2.1 dated 2019-04-04
DESCRIPTION | 8 MD5 | 12 - NEWS.md | 4 README.md | 23 + build/vignette.rds |binary inst/doc/foiegras-basics.html | 494 +++++++++++++++++++++++++++++------------- src/foieGras.cpp | 16 - 7 files changed, 387 insertions(+), 170 deletions(-)
Title: Analyzing Right-Censored Length-Biased Data
Description: Performs analysis of right-censored length-biased data using Cox model. It contains model fitting and checking, and the stationarity assumption test. The model fitting and checking methods are described in Qin and Shen (2010) <doi:10.1111/j.1541-0420.2009.01287.x> and Lee, Ning, and Shen (2018) <doi:10.1007/s10985-018-9422-y>.
Author: Lee, C.H., Liu, D.D., Ning, J., Zhou, H., and Shen, Y.
Maintainer: Chi Hyun Lee <chihyunlee@umass.edu>
Diff between CoxPhLb versions 1.0.0 dated 2018-03-14 and 1.2.0 dated 2019-04-04
CoxPhLb-1.0.0/CoxPhLb/R/coxph.lb.R |only CoxPhLb-1.0.0/CoxPhLb/man/coxph.lb.Rd |only CoxPhLb-1.2.0/CoxPhLb/DESCRIPTION | 12 - CoxPhLb-1.2.0/CoxPhLb/MD5 | 33 ++-- CoxPhLb-1.2.0/CoxPhLb/NAMESPACE | 18 ++ CoxPhLb-1.2.0/CoxPhLb/R/coxphlb.R |only CoxPhLb-1.2.0/CoxPhLb/R/coxphlb.ftest.R | 119 ++++++++--------- CoxPhLb-1.2.0/CoxPhLb/R/coxphlb.ftest.plot.R |only CoxPhLb-1.2.0/CoxPhLb/R/coxphlb.phtest.R | 159 +++++++++++------------ CoxPhLb-1.2.0/CoxPhLb/R/coxphlb.phtest.plot.R |only CoxPhLb-1.2.0/CoxPhLb/R/station.test.R | 27 ++- CoxPhLb-1.2.0/CoxPhLb/R/station.test.plot.R | 10 - CoxPhLb-1.2.0/CoxPhLb/R/summary.R |only CoxPhLb-1.2.0/CoxPhLb/man/ExampleData1.Rd | 2 CoxPhLb-1.2.0/CoxPhLb/man/ExampleData2.Rd | 2 CoxPhLb-1.2.0/CoxPhLb/man/coxphlb.Rd |only CoxPhLb-1.2.0/CoxPhLb/man/coxphlb.ftest.Rd | 44 ++---- CoxPhLb-1.2.0/CoxPhLb/man/coxphlb.ftest.plot.Rd |only CoxPhLb-1.2.0/CoxPhLb/man/coxphlb.phtest.Rd | 48 ++---- CoxPhLb-1.2.0/CoxPhLb/man/coxphlb.phtest.plot.Rd |only CoxPhLb-1.2.0/CoxPhLb/man/station.test.Rd | 17 +- CoxPhLb-1.2.0/CoxPhLb/man/station.test.plot.Rd | 15 +- 22 files changed, 256 insertions(+), 250 deletions(-)
Title: Generating Various Molecular Representations for Chemicals,
Proteins, DNAs, RNAs and Their Interactions
Description: Calculating 293 chemical descriptors and 14 kinds of chemical fingerprints, 9920 protein descriptors based on protein sequences, more than 6000 DNA/RNA descriptors from nucleotide sequences, and six types of interaction descriptors using three different combining strategies.
Author: Min-feng Zhu <wind2zhu@163.com>, Jie Dong <biomed@csu.edu.cn>,
Dong-sheng Cao <oriental-cds@163.com>
Maintainer: Min-feng Zhu <wind2zhu@163.com>
Diff between BioMedR versions 1.1.1 dated 2019-01-15 and 1.1.2 dated 2019-04-04
DESCRIPTION | 8 +++--- MD5 | 10 ++++---- R/101-getDrug.R | 42 +++++++++++------------------------ R/102-getProt.R | 2 - R/429-extractDrugKappaShapeIndices.R | 1 man/extrDrugKappaShapeIndices.Rd | 1 6 files changed, 24 insertions(+), 40 deletions(-)
Title: Download and Manage Data from Tehran Stock Exchange
Description: Tools for downloading and organizing data from Tehran Stock Exchange (TSE) <http://new.tse.ir/en/>. It also performs some descriptive data analysis for assets.
Author: Ali Saeb
Maintainer: Ali Saeb <ali.saeb@gmail.com>
Diff between TSEtools versions 0.1.2 dated 2019-01-25 and 0.1.3 dated 2019-04-04
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/getTSE.R | 22 +++++++++++++--------- README.md | 4 ++++ 4 files changed, 23 insertions(+), 15 deletions(-)
Title: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source
or Commercial Software
Description: An interface to the 'mclust' package to easily
carry out latent profile analysis ("LPA"). Provides functionality to
estimate commonly-specified models. Follows a tidy approach, in that
output is in the form of a data frame that can subsequently be
computed on. Also has functions to interface to the commercial 'MPlus'
software via the 'MplusAutomation' package.
Author: Joshua M Rosenberg [aut, cre],
Caspar van Lissa [aut],
Jennifer A Schmidt [ctb],
Patrick N Beymer [ctb],
Daniel Anderson [ctb],
Matthew J. Schell [ctb]
Maintainer: Joshua M Rosenberg <jmichaelrosenberg@gmail.com>
Diff between tidyLPA versions 1.0.0 dated 2019-03-21 and 1.0.2 dated 2019-04-04
DESCRIPTION | 6 - LICENSE | 2 MD5 | 26 ++++---- NEWS.md | 4 + R/calc_functions.R | 8 +- README.md | 12 +-- inst/doc/Introduction_to_tidyLPA.R | 14 ++-- inst/doc/Introduction_to_tidyLPA.Rmd | 2 inst/doc/Introduction_to_tidyLPA.html | 91 +++++++++------------------- inst/doc/introduction-to-major-changes.html | 10 +-- man/figures/README-unnamed-chunk-6-1.png |binary tests/testthat/test-compare-fit-stats.R | 15 ++++ tests/testthat/test-compare-solutions.R | 24 +++---- vignettes/Introduction_to_tidyLPA.Rmd | 2 14 files changed, 101 insertions(+), 115 deletions(-)
Title: Dynamical Systems Approach to Immune Response Modeling
Description: A collection of 'shiny' apps that allow for the simulation and
exploration of various within-host immune response scenarios.
The purpose of the package is to help individuals learn
about within-host infection and immune response modeling from a dynamical systems perspective.
All apps include explanations of the underlying models and instructions on
what to do with the models. The development of this package was partially supported by NIH grant U19AI117891.
Author: Andreas Handel [aut, cre] (<https://orcid.org/0000-0002-4622-1146>),
Yang Ge [ctb],
Spencer Hall [ctb],
Sina Solaimanpour [ctb],
Henok Woldu [ctb]
Maintainer: Andreas Handel <ahandel@uga.edu>
Diff between DSAIRM versions 0.5.5 dated 2019-02-11 and 0.8.0 dated 2019-04-04
DSAIRM-0.5.5/DSAIRM/R/generate_plots.R |only DSAIRM-0.5.5/DSAIRM/inst/DSAIRMshinyappsio |only DSAIRM-0.5.5/DSAIRM/inst/mainmenu |only DSAIRM-0.5.5/DSAIRM/inst/media |only DSAIRM-0.5.5/DSAIRM/man/generate_plots.Rd |only DSAIRM-0.5.5/DSAIRM/tests/testthat/test-generate_plots.R |only DSAIRM-0.5.5/DSAIRM/vignettes/dsairmvignettestyle.css |only DSAIRM-0.8.0/DSAIRM/DESCRIPTION | 14 DSAIRM-0.8.0/DSAIRM/MD5 | 179 ++-- DSAIRM-0.8.0/DSAIRM/NAMESPACE | 7 DSAIRM-0.8.0/DSAIRM/NEWS.md | 30 DSAIRM-0.8.0/DSAIRM/R/dsairmmenu.R | 2 DSAIRM-0.8.0/DSAIRM/R/generate_documentation.R | 11 DSAIRM-0.8.0/DSAIRM/R/generate_fctcall.R |only DSAIRM-0.8.0/DSAIRM/R/generate_ggplot.R |only DSAIRM-0.8.0/DSAIRM/R/generate_plotly.R |only DSAIRM-0.8.0/DSAIRM/R/generate_shinyinput.R | 13 DSAIRM-0.8.0/DSAIRM/R/generate_text.R | 2 DSAIRM-0.8.0/DSAIRM/R/run_model.R | 231 +++-- DSAIRM-0.8.0/DSAIRM/R/simulate_basicbacteria_discrete.R | 2 DSAIRM-0.8.0/DSAIRM/R/simulate_basicmodel_fit.R | 10 DSAIRM-0.8.0/DSAIRM/R/simulate_confint_fit.R | 2 DSAIRM-0.8.0/DSAIRM/R/simulate_modelcomparison_fit.R | 2 DSAIRM-0.8.0/DSAIRM/build/vignette.rds |binary DSAIRM-0.8.0/DSAIRM/inst/DSAIRM |only DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicbacteria_documentation.Rmd | 9 DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicbacteria_documentation.html | 368 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicbacteria_settings.R | 20 DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicmodelfit_documentation.Rmd | 13 DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicmodelfit_documentation.html | 369 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicmodelfit_settings.R | 21 DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicvirus_documentation.Rmd | 283 +++---- DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicvirus_documentation.html | 386 ---------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicvirus_settings.R | 17 DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicvirusstochastic_documentation.Rmd | 9 DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicvirusstochastic_documentation.html | 367 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/basicvirusstochastic_settings.R | 23 DSAIRM-0.8.0/DSAIRM/inst/appinformation/confintfit_documentation.Rmd | 5 DSAIRM-0.8.0/DSAIRM/inst/appinformation/confintfit_documentation.html | 364 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/confintfit_settings.R | 20 DSAIRM-0.8.0/DSAIRM/inst/appinformation/drugresistance_documentation.Rmd | 8 DSAIRM-0.8.0/DSAIRM/inst/appinformation/drugresistance_documentation.html | 375 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/drugresistance_settings.R | 17 DSAIRM-0.8.0/DSAIRM/inst/appinformation/modelcomparisonfit_documentation.Rmd | 5 DSAIRM-0.8.0/DSAIRM/inst/appinformation/modelcomparisonfit_documentation.html | 366 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/modelcomparisonfit_settings.R | 22 DSAIRM-0.8.0/DSAIRM/inst/appinformation/modelexploration_documentation.Rmd | 5 DSAIRM-0.8.0/DSAIRM/inst/appinformation/modelexploration_documentation.html | 364 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/modelexploration_settings.R | 20 DSAIRM-0.8.0/DSAIRM/inst/appinformation/modelvariants_documentation.Rmd | 3 DSAIRM-0.8.0/DSAIRM/inst/appinformation/modelvariants_documentation.html | 333 -------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/modelvariants_settings.R | 19 DSAIRM-0.8.0/DSAIRM/inst/appinformation/pkpdmodel_documentation.Rmd | 5 DSAIRM-0.8.0/DSAIRM/inst/appinformation/pkpdmodel_documentation.html | 364 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/pkpdmodel_settings.R | 17 DSAIRM-0.8.0/DSAIRM/inst/appinformation/usanalysis_documentation.Rmd | 5 DSAIRM-0.8.0/DSAIRM/inst/appinformation/usanalysis_documentation.html | 364 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/usanalysis_settings.R | 26 DSAIRM-0.8.0/DSAIRM/inst/appinformation/virusandir_documentation.Rmd | 291 +++---- DSAIRM-0.8.0/DSAIRM/inst/appinformation/virusandir_documentation.html | 366 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/virusandir_settings.R | 17 DSAIRM-0.8.0/DSAIRM/inst/appinformation/virusandtx_documentation.Rmd | 20 DSAIRM-0.8.0/DSAIRM/inst/appinformation/virusandtx_documentation.html | 380 --------- DSAIRM-0.8.0/DSAIRM/inst/appinformation/virusandtx_settings.R | 17 DSAIRM-0.8.0/DSAIRM/inst/doc/DSAIRM.R | 54 - DSAIRM-0.8.0/DSAIRM/inst/doc/DSAIRM.Rmd | 144 ++- DSAIRM-0.8.0/DSAIRM/inst/doc/DSAIRM.html | 382 +++++++-- DSAIRM-0.8.0/DSAIRM/inst/docsfordevelopers/documentation.md | 39 - DSAIRM-0.8.0/DSAIRM/inst/simulatorfunctions/simulate_basicbacteria_discrete.R | 2 DSAIRM-0.8.0/DSAIRM/inst/simulatorfunctions/simulate_basicmodel_fit.R | 10 DSAIRM-0.8.0/DSAIRM/inst/simulatorfunctions/simulate_confint_fit.R | 2 DSAIRM-0.8.0/DSAIRM/inst/simulatorfunctions/simulate_modelcomparison_fit.R | 2 DSAIRM-0.8.0/DSAIRM/inst/simulatorfunctions/simulatorfunctions.zip |binary DSAIRM-0.8.0/DSAIRM/man/generate_fctcall.Rd |only DSAIRM-0.8.0/DSAIRM/man/generate_ggplot.Rd |only DSAIRM-0.8.0/DSAIRM/man/generate_plotly.Rd |only DSAIRM-0.8.0/DSAIRM/man/generate_shinyinput.Rd | 3 DSAIRM-0.8.0/DSAIRM/man/run_model.Rd | 27 DSAIRM-0.8.0/DSAIRM/man/simulate_basicbacteria_discrete.Rd | 2 DSAIRM-0.8.0/DSAIRM/man/simulate_basicmodel_fit.Rd | 10 DSAIRM-0.8.0/DSAIRM/tests/testthat/test-fit-apps.R |only DSAIRM-0.8.0/DSAIRM/tests/testthat/test-generate_ggplot.R |only DSAIRM-0.8.0/DSAIRM/tests/testthat/test-generate_plotly.R |only DSAIRM-0.8.0/DSAIRM/tests/testthat/test-generate_text.R | 18 DSAIRM-0.8.0/DSAIRM/tests/testthat/test-generate_usplot.R |only DSAIRM-0.8.0/DSAIRM/tests/testthat/test-modelexploration.R |only DSAIRM-0.8.0/DSAIRM/tests/testthat/test-run_model.R | 40 - DSAIRM-0.8.0/DSAIRM/tests/testthat/test-stochastic-virus-app.R |only DSAIRM-0.8.0/DSAIRM/vignettes/DSAIRM.Rmd | 144 ++- DSAIRM-0.8.0/DSAIRM/vignettes/appexample.png |only DSAIRM-0.8.0/DSAIRM/vignettes/mainmenu.png |only DSAIRM-0.8.0/DSAIRM/vignettes/modelexample.png |only DSAIRM-0.8.0/DSAIRM/vignettes/whattodoexample.png |only 93 files changed, 1479 insertions(+), 5588 deletions(-)
Title: Calculates the Wavelet-Based Organization Index
Description: Calculates the wavelet-based organization index following Brune et al (2018) (<doi:10.1002/qj.3409>), the modified wavelet-based organization index and the local wavelet-based organization index of an arbitrary 2D array using Wavelet Transforms of the LS2W package by Eckley et al (2010) (<doi:10.1111/j.1467-9876.2009.00721.x>) and Eckley and Nason (2011) (<doi:10.18637/jss.v043.i03>).
Author: Sebastian Brune, Sebastian Buschow, Florian Kapp, Petra Friederichs
Maintainer: Sebastian Brune <sbrune@uni-bonn.de>
Diff between calcWOI versions 1.0.1 dated 2019-04-02 and 1.0.2 dated 2019-04-04
DESCRIPTION | 10 +++++----- MD5 | 4 ++-- R/WOI.R | 2 +- 3 files changed, 8 insertions(+), 8 deletions(-)
Title: Utilities for Working with Air Quality Monitoring Data
Description: Utilities for working with air quality monitoring data
with a focus on small particulates (PM2.5) generated by wildfire
smoke. Functions are provided for downloading available data from
the United States 'EPA' <https://www.epa.gov/outdoor-air-quality-data> and
it's 'AirNow' air quality site <https://www.airnow.gov>.
Additional sources of PM2.5 data made accessible by the package include:
'AIRSIS' (password protected) <https://www.oceaneering.com/data-management/>
and 'WRCC' <https://wrcc.dri.edu/cgi-bin/smoke.pl>.
Data compilations are provided by 'PWFSL'
<https://www.fs.fed.us/pnw/pwfsl/>.
Author: Jonathan Callahan [aut, cre],
Rohan Aras [aut],
Zach Dingels [aut],
Jon Hagg [aut],
Jimin Kim [aut],
Hans Martin [aut],
Helen Miller [aut],
Spencer Pease [aut],
Rex Thompson [aut],
Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>
Diff between PWFSLSmoke versions 1.1.3 dated 2018-10-05 and 1.2.2 dated 2019-04-04
PWFSLSmoke-1.1.3/PWFSLSmoke/R/airsisDump_createMonitorObject.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/airsisDump_identifyMonitorType.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/airsisDump_parseData.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorDygraph.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorEsriMap.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorGoogleMap.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorLeaflet.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorMap.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorMap_performance.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorPlot_dailyBarplot.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorPlot_hourlyBarplot.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorPlot_noData.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorPlot_rollingMean.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorPlot_timeOfDaySpaghetti.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitorPlot_timeseries.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitor_currentData.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/monitor_writeCurrentGeoJSON.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/pylogger.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/wrccDump_createMonitorObject.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/wrccDump_identifyMonitorType.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/R/wrccDump_parseData.R |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/airsisDump_createMonitorObject.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/airsisDump_identifyMonitorType.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/airsisDump_parseData.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/logLevels.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/logger.debug.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/logger.error.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/logger.fatal.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/logger.info.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/logger.setLevel.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/logger.setup.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/logger.trace.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/logger.warn.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorDygraph.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorEsriMap.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorGoogleMap.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorLeaflet.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorMap.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorMap_performance.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorPlot_dailyBarplot.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorPlot_hourlyBarplot.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorPlot_noData.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorPlot_rollingMean.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorPlot_timeOfDaySpaghetti.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitorPlot_timeseries.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitor_currentData.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/monitor_writeCurrentGeoJSON.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/wrccDump_createMonitorObject.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/wrccDump_identifyMonitorType.Rd |only PWFSLSmoke-1.1.3/PWFSLSmoke/man/wrccDump_parseData.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/DESCRIPTION | 29 PWFSLSmoke-1.2.2/PWFSLSmoke/MD5 | 507 ++-- PWFSLSmoke-1.2.2/PWFSLSmoke/NAMESPACE | 69 PWFSLSmoke-1.2.2/PWFSLSmoke/R/PWFSLSmoke-deprecated.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/PWFSLSmoke.R | 17 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addAQILegend.R | 20 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addAQILines.R | 10 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addAQIStackedBar.R | 12 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addBullseye.R | 14 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addClustering.R | 66 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addEsriAddress.R | 82 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addGoogleAddress.R | 30 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addGoogleElevation.R | 86 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addIcon.R | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addMarker.R | 12 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addMazamaMetadata.R | 13 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addPolygon.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/addShadedBackground.R | 14 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addUSGSElevation.R | 16 PWFSLSmoke-1.2.2/PWFSLSmoke/R/addWindBarb.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/addWindBarbs.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/airnow_createDataDataframes.R | 67 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airnow_createMetaDataframes.R | 135 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/airnow_createMonitorObjects.R | 41 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airnow_downloadParseData.R | 70 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airnow_load.R | 123 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/airnow_loadAnnual.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/airnow_loadDaily.R | 73 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airnow_loadLatest.R | 68 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airnow_qualityControl.R | 41 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_BAM1020QualityControl.R | 155 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_EBAMQualityControl.R | 179 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_ESAMQualityControl.R | 177 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_availableUnits.R | 67 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_createDataDataframe.R | 44 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_createMetaDataframe.R | 123 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_createMonitorObject.R | 89 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_createRawDataframe.R | 106 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_downloadData.R | 44 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_identifyMonitorType.R | 65 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_load.R | 48 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_loadAnnual.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_loadDaily.R | 91 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_loadLatest.R | 87 PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_parseData.R | 123 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/airsis_qualityControl.R | 57 PWFSLSmoke-1.2.2/PWFSLSmoke/R/aqiPalette.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/distance.R | 48 PWFSLSmoke-1.2.2/PWFSLSmoke/R/downloadDataFile.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/epa_createDataDataframe.R | 31 PWFSLSmoke-1.2.2/PWFSLSmoke/R/epa_createMetaDataframe.R | 88 PWFSLSmoke-1.2.2/PWFSLSmoke/R/epa_createMonitorObject.R | 41 PWFSLSmoke-1.2.2/PWFSLSmoke/R/epa_downloadData.R | 43 PWFSLSmoke-1.2.2/PWFSLSmoke/R/epa_load.R | 128 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/epa_loadAnnual.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/epa_parseData.R | 55 PWFSLSmoke-1.2.2/PWFSLSmoke/R/esriMap_getMap.R | 59 PWFSLSmoke-1.2.2/PWFSLSmoke/R/generic_downloadData.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/generic_parseData.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/initializeMazamaSpatialUtils.R | 18 PWFSLSmoke-1.2.2/PWFSLSmoke/R/loadDaily.R | 30 PWFSLSmoke-1.2.2/PWFSLSmoke/R/loadDataFile.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/loadLatest.R | 24 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_aqi.R | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_collapse.R | 166 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_combine.R | 32 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_dailyBarplot.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_dailyStatistic.R | 138 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_dailyStatisticList.R | 40 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_dailyThreshold.R | 44 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_distance.R | 28 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_downloadAnnual.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_downloadDaily.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_downloadLatest.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_dygraph.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_esriMap.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_extractDataFrame.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_getCurrentStatus.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_getDailyMean.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_hourlyBarplot.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_isolate.R | 12 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_join.R | 45 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_leaflet.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_load.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_loadAnnual.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_loadDaily.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_loadLatest.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_map.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_noDataPlot.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_nowcast.R | 82 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_performance.R | 10 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_performanceMap.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_print.R | 107 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_reorder.R | 26 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_rollingMean.R | 22 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_rollingMeanPlot.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_subset.R | 28 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_subsetByDistance.R | 58 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_timeInfo.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_timeseriesPlot.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_toTidy.R | 3 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_trend.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_trim.R | 10 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_writeCSV.R | 55 PWFSLSmoke-1.2.2/PWFSLSmoke/R/monitor_writeCurrentStatusGeoJSON.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/openaq_createDataDataframes.R | 54 PWFSLSmoke-1.2.2/PWFSLSmoke/R/openaq_createMetaDataframes.R | 80 PWFSLSmoke-1.2.2/PWFSLSmoke/R/openaq_downloadData.R | 44 PWFSLSmoke-1.2.2/PWFSLSmoke/R/parseDatetime.R | 134 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/skill_ROC.R | 54 PWFSLSmoke-1.2.2/PWFSLSmoke/R/skill_ROCPlot.R | 50 PWFSLSmoke-1.2.2/PWFSLSmoke/R/skill_confusionMatrix.R | 8 PWFSLSmoke-1.2.2/PWFSLSmoke/R/tidy_toMonitor.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/timeInfo.R | 186 + PWFSLSmoke-1.2.2/PWFSLSmoke/R/upgradeMeta_v1.0.R | 52 PWFSLSmoke-1.2.2/PWFSLSmoke/R/utils-pipe.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_EBAMQualityControl.R | 175 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_ESAMQualityControl.R | 175 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_createDataDataframe.R | 43 PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_createMetaDataframe.R | 131 - PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_createMonitorObject.R | 99 PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_createRawDataframe.R | 96 PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_downloadData.R | 93 PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_identifyMonitorType.R | 55 PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_load.R | 49 PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_loadAnnual.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_loadDaily.R | 90 PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_loadLatest.R | 85 PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_parseData.R | 45 PWFSLSmoke-1.2.2/PWFSLSmoke/R/wrcc_qualityControl.R | 50 PWFSLSmoke-1.2.2/PWFSLSmoke/README.md | 66 PWFSLSmoke-1.2.2/PWFSLSmoke/build/vignette.rds |binary PWFSLSmoke-1.2.2/PWFSLSmoke/data/Carmel_Valley.RData |binary PWFSLSmoke-1.2.2/PWFSLSmoke/data/Northwest_Megafires.RData |binary PWFSLSmoke-1.2.2/PWFSLSmoke/data/WRCC.RData |binary PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/Data_Model.Rmd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/Data_Model.html | 705 +++--- PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/Maps_and_Timeseries_Plots.R | 30 PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/Maps_and_Timeseries_Plots.Rmd | 42 PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/Maps_and_Timeseries_Plots.html | 686 +++-- PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/NowCast.R | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/NowCast.Rmd | 6 PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/NowCast.html | 1151 ++++------ PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/PWFSLSmoke.R |only PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/PWFSLSmoke.Rmd |only PWFSLSmoke-1.2.2/PWFSLSmoke/inst/doc/PWFSLSmoke.html |only PWFSLSmoke-1.2.2/PWFSLSmoke/inst/extdata |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/AQI.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/AQI_en.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/AQI_es.Rd | 6 PWFSLSmoke-1.2.2/PWFSLSmoke/man/PWFSLSmoke-deprecated.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/addAQILegend.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/addAQILines.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/addBullseye.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/addClustering.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/addEsriAddress.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/addGoogleAddress.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/addIcon.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/addMarker.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/addPolygon.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/addWindBarb.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/addWindBarbs.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/airnow_createDataDataframes.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airnow_createMetaDataframes.Rd | 6 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airnow_createMonitorObjects.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airnow_downloadParseData.Rd | 8 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airnow_load.Rd | 26 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airnow_loadAnnual.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/airnow_loadDaily.Rd | 33 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airnow_loadLatest.Rd | 34 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airnow_qualityControl.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_BAM1020QualityControl.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_EBAMQualityControl.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_ESAMQualityControl.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_availableUnits.Rd | 13 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_createDataDataframe.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_createMetaDataframe.Rd | 20 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_createMonitorObject.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_createRawDataframe.Rd | 29 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_downloadData.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_identifyMonitorType.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_load.Rd | 18 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_loadAnnual.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_loadDaily.Rd | 39 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_loadLatest.Rd | 38 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_parseData.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/airsis_qualityControl.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/aqiPalette.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/distance.Rd | 13 PWFSLSmoke-1.2.2/PWFSLSmoke/man/downloadDataFile.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/epa_createDataDataframe.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/epa_createMetaDataframe.Rd | 18 PWFSLSmoke-1.2.2/PWFSLSmoke/man/epa_createMonitorObject.Rd | 6 PWFSLSmoke-1.2.2/PWFSLSmoke/man/epa_downloadData.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/epa_load.Rd | 23 PWFSLSmoke-1.2.2/PWFSLSmoke/man/epa_loadAnnual.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/epa_parseData.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/generic_downloadData.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/generic_parseData.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/loadDaily.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/loadDataFile.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/loadLatest.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_aqi.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_collapse.Rd | 46 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_combine.Rd | 6 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_dailyBarplot.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_dailyStatistic.Rd | 40 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_dailyStatisticList.Rd | 8 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_dailyThreshold.Rd | 6 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_distance.Rd | 10 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_downloadAnnual.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_downloadDaily.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_downloadLatest.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_dygraph.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_esriMap.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_extractDataFrame.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_getCurrentStatus.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_getDailyMean.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_hourlyBarplot.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_isolate.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_leaflet.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_load.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_loadAnnual.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_loadDaily.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_loadLatest.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_map.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_noDataPlot.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_nowcast.Rd | 12 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_performance.Rd | 10 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_performanceMap.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_print.Rd | 37 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_reorder.Rd | 11 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_rollingMean.Rd | 10 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_rollingMeanPlot.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_subset.Rd | 6 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_subsetByDistance.Rd | 16 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_timeInfo.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_timeseriesPlot.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_trim.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_writeCSV.Rd | 48 PWFSLSmoke-1.2.2/PWFSLSmoke/man/monitor_writeCurrentStatusGeoJSON.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/parseDatetime.Rd | 65 PWFSLSmoke-1.2.2/PWFSLSmoke/man/pipe.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/skill_ROC.Rd | 14 PWFSLSmoke-1.2.2/PWFSLSmoke/man/skill_ROCPlot.Rd | 8 PWFSLSmoke-1.2.2/PWFSLSmoke/man/skill_confusionMatrix.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/tidy_toMonitor.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/timeInfo.Rd | 45 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_EBAMQualityControl.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_ESAMQualityControl.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_createDataDataframe.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_createMetaDataframe.Rd | 20 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_createMonitorObject.Rd | 6 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_createRawDataframe.Rd | 18 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_downloadData.Rd | 6 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_identifyMonitorType.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_load.Rd | 18 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_loadAnnual.Rd |only PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_loadDaily.Rd | 39 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_loadLatest.Rd | 38 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_parseData.Rd | 4 PWFSLSmoke-1.2.2/PWFSLSmoke/man/wrcc_qualityControl.Rd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/tests |only PWFSLSmoke-1.2.2/PWFSLSmoke/vignettes/Data_Model.Rmd | 2 PWFSLSmoke-1.2.2/PWFSLSmoke/vignettes/Maps_and_Timeseries_Plots.Rmd | 42 PWFSLSmoke-1.2.2/PWFSLSmoke/vignettes/NowCast.Rmd | 6 PWFSLSmoke-1.2.2/PWFSLSmoke/vignettes/PWFSLSmoke.Rmd |only 317 files changed, 5474 insertions(+), 4640 deletions(-)
Title: Fit Projected 2D Profiles to Galaxy Images
Description: Get data / Define model / ??? / Profit! 'ProFit' is a Bayesian galaxy fitting tool that uses a fast 'C++' image generation library and a flexible interface to a large number of likelihood samplers.
Author: Aaron Robotham [aut, cre] (<https://orcid.org/0000-0003-0429-3579>),
Dan Taranu [aut] (<https://orcid.org/0000-0001-6268-1882>),
Rodrigo Tobar [aut] (<https://orcid.org/0000-0002-1052-0611>)
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>
Diff between ProFit versions 1.2.6 dated 2019-01-15 and 1.2.7 dated 2019-04-04
ProFit-1.2.6/ProFit/src/libprofit/profit/brokenexponential.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/cl |only ProFit-1.2.6/ProFit/src/libprofit/profit/common.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/config.h.in |only ProFit-1.2.6/ProFit/src/libprofit/profit/convolve.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/convolver_impl.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/coresersic.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/crc.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/exceptions.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/ferrer.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/fft.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/fft_impl.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/image.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/king.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/library.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/model.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/moffat.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/null.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/opencl.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/opencl_impl.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/profile.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/profit.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/psf.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/radial.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/sersic.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/sky.h |only ProFit-1.2.6/ProFit/src/libprofit/profit/utils.h |only ProFit-1.2.7/ProFit/DESCRIPTION | 19 +- ProFit-1.2.7/ProFit/MD5 | 87 +++++----- ProFit-1.2.7/ProFit/build/partial.rdb |binary ProFit-1.2.7/ProFit/build/vignette.rds |binary ProFit-1.2.7/ProFit/cleanup | 2 ProFit-1.2.7/ProFit/configure | 8 ProFit-1.2.7/ProFit/inst/doc/ProFit-Galaxy-Fit-Example.html | 8 ProFit-1.2.7/ProFit/inst/doc/ProFit-Make-Model-Image.html | 16 - ProFit-1.2.7/ProFit/inst/doc/ProFit-OpenCL-OpenMP.html | 4 ProFit-1.2.7/ProFit/inst/doc/ProFit-PSF-Convolution-Can-Be-Convoluted.html | 6 ProFit-1.2.7/ProFit/inst/doc/ProFit-PSF-Fit-Example.html | 4 ProFit-1.2.7/ProFit/man/ProFit-package.Rd | 4 ProFit-1.2.7/ProFit/man/profitParseLikefunc.Rd | 3 ProFit-1.2.7/ProFit/man/profitSetupData.Rd | 2 ProFit-1.2.7/ProFit/src/Makevars.in | 2 ProFit-1.2.7/ProFit/src/Makevars.win | 4 ProFit-1.2.7/ProFit/src/libprofit/include |only ProFit-1.2.7/ProFit/src/libprofit/profit/config.h |only ProFit-1.2.7/ProFit/src/r_profit.cpp | 2 46 files changed, 90 insertions(+), 81 deletions(-)
Title: Seasonal Adjustment of Daily Time Series
Description: Seasonal- and calendar adjustment of time series with daily frequency using the DSA approach developed by Ollech, Daniel (2018): Seasonal adjustment of daily time series. Bundesbank Discussion Paper 41/2018.
Author: Daniel Ollech [aut, cre]
Maintainer: Daniel Ollech <daniel.ollech@bundesbank.de>
Diff between dsa versions 0.61.7 dated 2019-01-28 and 0.70.3 dated 2019-04-04
DESCRIPTION | 6 MD5 | 30 ++-- NAMESPACE | 3 NEWS | 54 ++++++-- R/dsa.R | 32 ++-- R/fill_up.R | 3 R/get_original.R |only R/get_sa.R |only R/get_trend.R |only R/makeDummy.R | 4 R/output.R | 24 ++- build/vignette.rds |binary inst/doc/dsa-vignette.R | 17 +- inst/doc/dsa-vignette.Rmd | 118 ++++++++---------- inst/doc/dsa-vignette.html | 293 +++++++++++++-------------------------------- man/get_original.Rd |only man/get_sa.Rd |only man/get_trend.Rd |only vignettes/dsa-vignette.Rmd | 118 ++++++++---------- 19 files changed, 312 insertions(+), 390 deletions(-)
Title: Bar, Surface and Other Plots
Description: Produces heat maps, contour plots, bar plots (in 3D) and surface plots (also, in 3D). Is designed for plotting functions of two variables, however, can plot relatively arbitrary matrices. Uses HCL color space, extensively. Also, supports triangular plots and nested matrices.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>
Diff between barsurf versions 0.1.0 dated 2018-10-26 and 0.2.0 dated 2019-04-04
barsurf-0.1.0/barsurf/R/barsurf.r |only barsurf-0.1.0/barsurf/man/barsurf.Rd |only barsurf-0.2.0/barsurf/DESCRIPTION | 20 + barsurf-0.2.0/barsurf/MD5 | 28 +- barsurf-0.2.0/barsurf/NAMESPACE | 8 barsurf-0.2.0/barsurf/R/color.r |only barsurf-0.2.0/barsurf/R/init.r |only barsurf-0.2.0/barsurf/R/plot2d.r |only barsurf-0.2.0/barsurf/R/plot3d.r |only barsurf-0.2.0/barsurf/R/projection.r |only barsurf-0.2.0/barsurf/build/vignette.rds |binary barsurf-0.2.0/barsurf/inst/doc/barsurf.R | 180 ++++++++++++++--- barsurf-0.2.0/barsurf/inst/doc/barsurf.Rnw | 220 +++++++++++++++------ barsurf-0.2.0/barsurf/inst/doc/barsurf.pdf |binary barsurf-0.2.0/barsurf/man/rd_1_plots_discrete.Rd |only barsurf-0.2.0/barsurf/man/rd_2_plots_continuous.Rd |only barsurf-0.2.0/barsurf/man/rd_3_plots_triangular.Rd |only barsurf-0.2.0/barsurf/man/rd_4_color_conversion.Rd |only barsurf-0.2.0/barsurf/man/rd_5_color_themes.Rd |only barsurf-0.2.0/barsurf/vignettes/Makefile | 4 barsurf-0.2.0/barsurf/vignettes/barsurf.Rnw | 220 +++++++++++++++------ 21 files changed, 519 insertions(+), 161 deletions(-)
Title: Hierarchical Multinomial Processing Tree Modeling
Description: User-friendly analysis of hierarchical multinomial processing tree (MPT)
models that are often used in cognitive psychology. Implements the latent-trait
MPT approach (Klauer, 2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT
approach (Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to model
heterogeneity of participants. MPT models are conveniently specified by an
.eqn-file as used by other MPT software and data are provided by a .csv-file
or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored
Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides
tests of heterogeneity and MPT-tailored summaries and plotting functions.
A detailed documentation is available in Heck, Arnold, & Arnold (2018)
<DOI:10.3758/s13428-017-0869-7>.
Author: Daniel W. Heck [aut, cre],
Nina R. Arnold [aut, dtc],
Denis Arnold [aut],
Alexander Ly [ctb],
Marius Barth [ctb]
Maintainer: Daniel W. Heck <heck@uni-mannheim.de>
Diff between TreeBUGS versions 1.4.1 dated 2018-12-18 and 1.4.3 dated 2019-04-04
DESCRIPTION | 22 ++-- MD5 | 37 +++---- NEWS | 16 +++ R/RcppExports.R | 8 - R/TreeBUGS-package.R | 7 + R/WAIC.R | 71 +++++++++++--- R/fitBetaMPT.R | 6 - R/fitModelCpp.R | 18 ++- build/vignette.rds |binary inst/doc/TreeBUGS_1_intro.Rmd | 2 inst/doc/TreeBUGS_1_intro.html | 10 + inst/doc/TreeBUGS_2_extended.html | 9 + man/TreeBUGS-package.Rd | 8 + man/WAIC.Rd | 45 +++++++- man/betaMPT.Rd | 13 +- man/figures |only src/RcppExports.cpp | 14 +- src/betaMPT.cpp | 192 ++++++++++++++++++++------------------ src/init.c | 8 - vignettes/TreeBUGS_1_intro.Rmd | 2 20 files changed, 312 insertions(+), 176 deletions(-)
Title: Species Abundance Distributions with Independent-Species
Assumption
Description: Computes the probability of a set of species abundances of a single or multiple samples of individuals with one or more guilds under a mainland-island model. One must specify the mainland (metacommunity) model and the island (local) community model. It assumes that species fluctuate independently. The package also contains functions to simulate under this model. See Haegeman, B. & R.S. Etienne (2017). A general sampling formula for community structure data. Methods in Ecology & Evolution 8: 1506-1519 <doi:10.1111/2041-210X.12807>.
Author: Rampal S. Etienne & Bart Haegeman
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>
Diff between SADISA versions 1.0 dated 2017-04-21 and 1.1 dated 2019-04-04
DESCRIPTION | 14 MD5 | 55 +-- NAMESPACE | 3 R/SADISA_ML.R | 241 +++++++++++---- R/SADISA_loglik.R | 167 ++++++++-- R/SADISA_sim.R |only R/SADISA_test.R | 138 +++++++- R/data.R | 2 R/mdd_llik.R | 209 +++++++------ R/ms_llik.R | 367 ++++++++++++++++++----- R/pm_llik.R | 68 ++-- R/pmdl_sim.R |only R/pr_llik.R | 98 +++--- R/utils.R | 181 +++++++++++ build/vignette.rds |binary data/datasets.RData |binary data/fitresults.RData |binary inst/doc/demo.R | 35 +- inst/doc/demo.Rmd | 182 ++++++++++- inst/doc/demo.html | 662 +++++++++++++++++++++++++++---------------- man/SADISA_ML.Rd | 33 +- man/SADISA_loglik.Rd | 16 - man/SADISA_sim.Rd |only man/SADISA_test.Rd | 8 man/convert_fa2sf.Rd |only man/datasets.Rd | 3 man/fitresults.Rd | 1 man/integral_peak.Rd | 7 man/pmdl_sim.Rd |only tests/testthat/test_SADISA.R | 1 vignettes/demo.Rmd | 182 ++++++++++- 31 files changed, 1919 insertions(+), 754 deletions(-)
Title: Uniform Sampling of Directed Acyclic Graphs
Description: Uniform sampling of Directed Acyclic Graphs (DAG) using exact
enumeration by relating each DAG to a sequence of outpoints (nodes with no
incoming edges) and then to a composition of integers as suggested by
Kuipers, J. and Moffa, G. (2015) <doi:10.1007/s11222-013-9428-y>.
Author: Markus Kalisch [aut, cre],
Manuel Schuerch [ctb]
Maintainer: Markus Kalisch <kalisch@stat.math.ethz.ch>
Diff between unifDAG versions 1.0.1 dated 2017-09-12 and 1.0.2 dated 2019-04-04
DESCRIPTION | 11 ++++++----- MD5 | 8 ++++---- build/vignette.rds |binary inst/doc/unifDAG-vignette.pdf |binary tests/test_unifDAG.R | 1 + 5 files changed, 11 insertions(+), 9 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-03-08 0.9-15.2
2018-01-04 0.9-15.1
2017-06-18 0.9-15
2017-06-14 0.9-14
2016-07-13 0.9-9
2016-05-24 0.9-7
2016-04-04 0.9-6
2015-05-06 0.9-5
2014-12-17 0.9-3
2014-06-30 0.8-7
2013-11-18 0.8-5
2013-07-09 0.8-4
2013-06-15 0.8-3
2012-01-05 0.7-3
2011-12-25 0.7-2
2009-11-13 0.5-6
2009-10-28 0.5-5
2009-10-27 0.5-4
2009-08-13 0.5-3
2009-08-08 0.5-2
Title: Download Public Domain Works from Wikisource
Description: Download public domain works from Wikisource <https://wikisource.org/>, a free library from the Wikimedia Foundation project.
Author: Félix Luginbuhl [aut, cre]
Maintainer: Félix Luginbuhl <felix.luginbuhl@protonmail.ch>
Diff between wikisourcer versions 0.1.3 dated 2019-03-17 and 0.1.4 dated 2019-04-04
DESCRIPTION | 6 +-- MD5 | 14 ++++----- NEWS.md | 4 ++ build/vignette.rds |binary inst/doc/wikisourcer.R | 6 +-- inst/doc/wikisourcer.Rmd | 6 +-- inst/doc/wikisourcer.html | 70 +++++++++++++++++++++++----------------------- vignettes/wikisourcer.Rmd | 6 +-- 8 files changed, 58 insertions(+), 54 deletions(-)
Title: Solvers for Large-Scale Eigenvalue and SVD Problems
Description: R interface to the 'Spectra' library
<https://spectralib.org/> for large-scale eigenvalue and SVD
problems. It is typically used to compute a few
eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues,
which is usually more efficient than eigen() if k << n. This package
provides the 'eigs()' function that does the similar job as in 'Matlab',
'Octave', 'Python SciPy' and 'Julia'. It also provides the 'svds()' function
to calculate the largest k singular values and corresponding
singular vectors of a real matrix. The matrix to be computed on can be
dense, sparse, or in the form of an operator defined by the user.
Author: Yixuan Qiu [aut, cre],
Jiali Mei [aut] (Function interface of matrix operation),
Gael Guennebaud [ctb] (Eigenvalue solvers from the 'Eigen' library),
Jitse Niesen [ctb] (Eigenvalue solvers from the 'Eigen' library)
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>
Diff between RSpectra versions 0.13-1 dated 2018-05-22 and 0.14-0 dated 2019-04-04
DESCRIPTION | 10 MD5 | 76 + R/00_eigs.R | 3 R/10_eigs_real_gen.R | 10 R/20_eigs_real_sym.R | 10 R/30_svds.R | 2 README.md | 2 build/vignette.rds |binary inst/NEWS.Rd | 10 inst/doc/introduction.html | 198 ++-- inst/include/Spectra/GenEigsBase.h |only inst/include/Spectra/GenEigsComplexShiftSolver.h | 23 inst/include/Spectra/GenEigsRealShiftSolver.h | 19 inst/include/Spectra/GenEigsSolver.h | 595 --------------- inst/include/Spectra/LinAlg/Arnoldi.h |only inst/include/Spectra/LinAlg/BKLDLT.h |only inst/include/Spectra/LinAlg/DoubleShiftQR.h | 16 inst/include/Spectra/LinAlg/Lanczos.h |only inst/include/Spectra/LinAlg/UpperHessenbergQR.h | 98 +- inst/include/Spectra/MatOp/DenseCholesky.h | 13 inst/include/Spectra/MatOp/DenseGenComplexShiftSolve.h | 15 inst/include/Spectra/MatOp/DenseGenMatProd.h | 10 inst/include/Spectra/MatOp/DenseGenRealShiftSolve.h | 13 inst/include/Spectra/MatOp/DenseSymMatProd.h | 10 inst/include/Spectra/MatOp/DenseSymShiftSolve.h | 25 inst/include/Spectra/MatOp/SparseCholesky.h | 16 inst/include/Spectra/MatOp/SparseGenMatProd.h | 12 inst/include/Spectra/MatOp/SparseGenRealShiftSolve.h | 19 inst/include/Spectra/MatOp/SparseRegularInverse.h | 16 inst/include/Spectra/MatOp/SparseSymMatProd.h | 12 inst/include/Spectra/MatOp/SparseSymShiftSolve.h | 31 inst/include/Spectra/MatOp/internal/ArnoldiOp.h |only inst/include/Spectra/MatOp/internal/SymGEigsCholeskyOp.h | 2 inst/include/Spectra/MatOp/internal/SymGEigsRegInvOp.h | 2 inst/include/Spectra/SymEigsBase.h |only inst/include/Spectra/SymEigsShiftSolver.h | 23 inst/include/Spectra/SymEigsSolver.h | 576 -------------- inst/include/Spectra/SymGEigsSolver.h | 74 - man/eigs.Rd | 27 man/svds.Rd | 6 src/eigs_gen.cpp | 88 +- src/eigs_sym.cpp | 61 + 42 files changed, 588 insertions(+), 1535 deletions(-)