Fri, 04 Jan 2019

Package neotoma updated to version 1.7.4 with previous version 1.7.2 dated 2018-09-26

Title: Access to the Neotoma Paleoecological Database Through R
Description: Access paleoecological datasets from the Neotoma Paleoecological Database using the published API (<http://api.neotomadb.org/>). The functions in this package access various pre-built API functions and attempt to return the results from Neotoma in a usable format for researchers and the public.
Author: Simon J. Goring [aut, cre], Gavin L. Simpson [aut], Jeremiah P. Marsicek [ctb], Karthik Ram [aut], Luke Sosalla [ctb]
Maintainer: Simon J. Goring <goring@wisc.edu>

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Package multivariance updated to version 1.2.1 with previous version 1.2.0 dated 2018-09-13

Title: Measuring Multivariate Dependence Using Distance Multivariance
Description: Distance multivariance is a measure of dependence which can be used to detect and quantify dependence. The necessary functions are implemented in this packages, and examples are given. For the theoretic background we refer to the papers: B. Böttcher, M. Keller-Ressel, R.L. Schilling, Detecting independence of random vectors: generalized distance covariance and Gaussian covariance. VMSTA, 2018, Vol. 5, No. 3, 353-383. <arXiv:1711.07778>. B. Böttcher, M. Keller-Ressel, R.L. Schilling, Distance multivariance: New dependence measures for random vectors. <arXiv:1711.07775>. B. Böttcher, Dependence Structures - Estimation and Visualization Using Distance Multivariance. <arXiv:1712.06532>. G. Berschneider, B. Böttcher, On complex Gaussian random fields, Gaussian quadratic forms and sample distance multivariance. <arXiv:1808.07280>.
Author: Björn Böttcher [aut, cre], Martin Keller-Ressel [ctb]
Maintainer: Björn Böttcher <bjoern.boettcher@tu-dresden.de>

Diff between multivariance versions 1.2.0 dated 2018-09-13 and 1.2.1 dated 2019-01-04

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Package HMMEsolver updated to version 0.1.2 with previous version 0.1.1 dated 2018-09-11

Title: A Fast Solver for Henderson Mixed Model Equation via Row Operations
Description: Consider the linear mixed model with normal random effects. A typical method to solve Henderson's Mixed Model Equations (HMME) is recursive estimation of the fixed effects and random effects. We provide a fast, stable, and scalable solver to the HMME without computing matrix inverse. See Kim (2017) <arXiv:1710.09663> for more details.
Author: Jiwoong Kim [aut, cre]
Maintainer: Jiwoong Kim <jwboys26@gmail.com>

Diff between HMMEsolver versions 0.1.1 dated 2018-09-11 and 0.1.2 dated 2019-01-04

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Package SGPdata updated to version 21.0-0.0 with previous version 20.0-0.0 dated 2018-04-10

Title: Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses
Description: Data sets utilized by the 'SGP' package as exemplars for users to conduct their own student growth percentiles (SGP) analyses.
Author: Damian W. Betebenner [aut, cre], Adam R. Van Iwaarden [aut], Ben Domingue [aut]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

Diff between SGPdata versions 20.0-0.0 dated 2018-04-10 and 21.0-0.0 dated 2019-01-04

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Package metacoder updated to version 0.3.1 with previous version 0.3.0.1 dated 2018-11-19

Title: Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data
Description: A set of tools for parsing, manipulating, and graphing data classified by a hierarchy (e.g. a taxonomy).
Author: Zachary Foster [aut, cre], Niklaus Grunwald [ths], Rob Gilmore [ctb]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

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New package EditImputeCont with initial version 1.1.1
Package: EditImputeCont
Type: Package
Title: Simultaneous Edit-Imputation for Continuous Microdata
Version: 1.1.1
Date: 2019-01-04
Author: Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr
Maintainer: Hang J. Kim <hangkim0@gmail.com>
Description: An integrated editing and imputation method for continuous microdata under linear constraints is implemented. It relies on a Bayesian nonparametric hierarchical modeling approach as described in Kim et al. (2015) <doi:10.1080/01621459.2015.1040881>. In this approach, the joint distribution of the data is estimated by a flexible joint probability model. The generated edit-imputed data are guaranteed to satisfy all imposed edit rules, whose types include ratio edits, balance edits and range restrictions.
License: GPL (>= 3)
Depends: Rcpp, methods, editrules, graphics, utils, igraph
LinkingTo: Rcpp
RcppModules: cbei
URL: https://github.com/QuanliWang/EditImputeCont
NeedsCompilation: yes
Repository: CRAN
Packaged: 2019-01-04 16:28:11 UTC; kim3h4
Date/Publication: 2019-01-05 00:00:08 UTC

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Package CombMSC updated to version 1.4.2.1 with previous version 1.4.2 dated 2008-02-26

Title: Combined Model Selection Criteria
Description: Functions for computing optimal convex combinations of model selection criteria based on ranks, along with utility functions for constructing model lists, MSCs, and priors on model lists.
Author: Andrew K. Smith
Maintainer: Andrew K. Smith <andrewsmith81@gmail.com>

Diff between CombMSC versions 1.4.2 dated 2008-02-26 and 1.4.2.1 dated 2019-01-04

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Package pathClass (with last version 0.9.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2013-07-01 0.9.4
2012-05-05 0.9.3

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Package PoiClaClu updated to version 1.0.2.1 with previous version 1.0.2 dated 2013-12-02

Title: Classification and Clustering of Sequencing Data Based on a Poisson Model
Description: Implements the methods described in the paper, Witten (2011) Classification and Clustering of Sequencing Data using a Poisson Model, Annals of Applied Statistics 5(4) 2493-2518.
Author: Daniela Witten
Maintainer: Daniela Witten <dwitten@u.washington.edu>

Diff between PoiClaClu versions 1.0.2 dated 2013-12-02 and 1.0.2.1 dated 2019-01-04

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Package lpc updated to version 1.0.2.1 with previous version 1.0.2 dated 2013-12-15

Title: Lassoed Principal Components for Testing Significance of Features
Description: Implements the LPC method of Witten&Tibshirani(Annals of Applied Statistics 2008) for identification of significant genes in a microarray experiment.
Author: Daniela M Witten and Robert Tibshirani
Maintainer: Daniela M Witten <dwitten@uw.edu>

Diff between lpc versions 1.0.2 dated 2013-12-15 and 1.0.2.1 dated 2019-01-04

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Package worrms updated to version 0.3.2 with previous version 0.3.0 dated 2018-11-07

Title: World Register of Marine Species (WoRMS) Client
Description: Client for World Register of Marine Species (<http://www.marinespecies.org/>). Includes functions for each of the API methods, including searching for names by name, date and common names, searching using external identifiers, fetching synonyms, as well as fetching taxonomic children and taxonomic classification.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between worrms versions 0.3.0 dated 2018-11-07 and 0.3.2 dated 2019-01-04

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Package tibble updated to version 2.0.0 with previous version 1.4.2 dated 2018-01-22

Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], Jennifer Bryan [ctb], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package RMySQL updated to version 0.10.16 with previous version 0.10.15 dated 2018-05-13

Title: Database Interface and 'MySQL' Driver for R
Description: Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL' client based on 'Rcpp' is available from the 'RMariaDB' package.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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More information about RMySQL at CRAN
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Package phenology updated to version 7.3 with previous version 7.2 dated 2018-09-27

Title: Tools to Manage a Parametric Function that Describes Phenology
Description: Functions used to fit and test the phenology of species based on counts.
Author: Marc Girondot
Maintainer: Marc Girondot <marc.girondot@u-psud.fr>

Diff between phenology versions 7.2 dated 2018-09-27 and 7.3 dated 2019-01-04

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Package memgene updated to version 1.0.1 with previous version 1.0 dated 2014-06-05

Title: Spatial Pattern Detection in Genetic Distance Data Using Moran's Eigenvector Maps
Description: Can detect relatively weak spatial genetic patterns by using Moran's Eigenvector Maps (MEM) to extract only the spatial component of genetic variation. Has applications in landscape genetics where the movement and dispersal of organisms are studied using neutral genetic variation.
Author: Pedro Peres-Neto, Paul Galpern
Maintainer: Paul Galpern <pgalpern@ucalgary.ca>

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Package gpg updated to version 1.0 with previous version 0.5 dated 2017-03-21

Title: GNU Privacy Guard for R
Description: Bindings to GnuPG for working with OpenGPG (RFC4880) cryptographic methods. Includes utilities for public key encryption, creating and verifying digital signatures, and managing your local keyring. Note that some functionality depends on the version of GnuPG that is installed on the system. On Windows this package can be used together with 'GPG4Win' which provides a GUI for managing keys and entering passphrases.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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More information about gpg at CRAN
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Package GDINA updated to version 2.3.2 with previous version 2.2.0 dated 2018-10-30

Title: The Generalized DINA Model Framework
Description: A set of psychometric tools for cognitive diagnosis modeling for both dichotomous and polytomous responses. Various cognitive diagnosis models can be estimated, include the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7>, the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070>, and many other models they subsume. Joint attribute distribution can be independent, saturated, higher-order, loglinear smoothed or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided.
Author: Wenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph], Miguel Sorrel [ctb]
Maintainer: Wenchao Ma <wenchao.ma@ua.edu>

Diff between GDINA versions 2.2.0 dated 2018-10-30 and 2.3.2 dated 2019-01-04

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Package FitARMA updated to version 1.6.1 with previous version 1.6 dated 2013-09-27

Title: Fit ARMA or ARIMA Using Fast MLE Algorithm
Description: Implements fast maximum likelihood algorithm for fitting ARMA time series. Uses S3 methods print, summary, fitted, residuals. Fast exact Gaussian ARMA simulation.
Author: A.I. McLeod
Maintainer: A.I. McLeod <aimcleod@uwo.ca>

Diff between FitARMA versions 1.6 dated 2013-09-27 and 1.6.1 dated 2019-01-04

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Package ecm updated to version 4.4.0 with previous version 4.3.0 dated 2018-09-28

Title: Build Error Correction Models
Description: Functions for easy building of error correction models (ECM) for time series regression.
Author: Gaurav Bansal
Maintainer: Gaurav Bansal <gaurbans@gmail.com>

Diff between ecm versions 4.3.0 dated 2018-09-28 and 4.4.0 dated 2019-01-04

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Package sirt updated to version 3.1-80 with previous version 3.0-32 dated 2018-11-22

Title: Supplementary Item Response Theory Models
Description: Supplementary functions for item response models aiming to complement existing R packages. The functionality includes among others multidimensional compensatory and noncompensatory IRT models (Reckase, 2009, <doi:10.1007/978-0-387-89976-3>), MCMC for hierarchical IRT models and testlet models (Fox, 2010, <doi:10.1007/978-1-4419-0742-4>), NOHARM (Fraser & McDonald, 1982, <doi:10.1207/s15327906mbr2302_9>), Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>; Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>), faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011, <doi:10.1111/j.1745-3984.2011.00143.x>), ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>), DETECT statistic (Stout, Habing, Douglas & Kim, 1996, <doi:10.1177/014662169602000403>), local structural equation modeling (LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016, <doi:10.1080/00273171.2016.1142856>).
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between sirt versions 3.0-32 dated 2018-11-22 and 3.1-80 dated 2019-01-04

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 sirt-3.1-80/sirt/NAMESPACE                                                         |   21 
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 sirt-3.1-80/sirt/R/IRT.mle.R                                                       |    2 
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 sirt-3.1-80/sirt/R/Probtrace_sirt.R                                                |    2 
 sirt-3.1-80/sirt/R/Q3.R                                                            |    2 
 sirt-3.1-80/sirt/R/Q3.testlet.R                                                    |    2 
 sirt-3.1-80/sirt/R/R2conquest.R                                                    |    2 
 sirt-3.1-80/sirt/R/R2noharm-utility.R                                              |    2 
 sirt-3.1-80/sirt/R/R2noharm.EAP.R                                                  |    2 
 sirt-3.1-80/sirt/R/R2noharm.R                                                      |    2 
 sirt-3.1-80/sirt/R/R2noharm.jackknife.R                                            |   15 
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 sirt-3.1-80/sirt/R/Rhat_sirt.R                                                     |    2 
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 sirt-3.1-80/sirt/R/anova_sirt.R                                                    |   37 
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 sirt-3.1-80/sirt/R/bounds_parameters.R                                             |    2 
 sirt-3.1-80/sirt/R/brm.irf.R                                                       |    2 
 sirt-3.1-80/sirt/R/brm.sim.R                                                       |    2 
 sirt-3.1-80/sirt/R/btm.R                                                           |    2 
 sirt-3.1-80/sirt/R/btm_fit.R                                                       |    2 
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 sirt-3.1-80/sirt/R/categorize.R                                                    |    2 
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 sirt-3.1-80/sirt/R/confint.xxirt.R                                                 |    2 
 sirt-3.1-80/sirt/R/create.ccov.R                                                   |   14 
 sirt-3.1-80/sirt/R/data.prep.R                                                     |    2 
 sirt-3.1-80/sirt/R/data.wide2long.R                                                |    2 
 sirt-3.1-80/sirt/R/decategorize.R                                                  |    2 
 sirt-3.1-80/sirt/R/detect.index.R                                                  |   20 
 sirt-3.1-80/sirt/R/diag2.R                                                         |    2 
 sirt-3.1-80/sirt/R/dif.logisticregression.R                                        |   31 
 sirt-3.1-80/sirt/R/dif.variance.R                                                  |    4 
 sirt-3.1-80/sirt/R/dimproper.R                                                     |    2 
 sirt-3.1-80/sirt/R/dirichlet.R                                                     |    2 
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 sirt-3.1-80/sirt/R/f1d.irt.R                                                       |    2 
 sirt-3.1-80/sirt/R/fit.adisop.R                                                    |    2 
 sirt-3.1-80/sirt/R/fit.gradedresponse.R                                            |    2 
 sirt-3.1-80/sirt/R/fit.gradedresponse_alg.R                                        |    2 
 sirt-3.1-80/sirt/R/fit.isop.R                                                      |    2 
 sirt-3.1-80/sirt/R/fit.logistic.R                                                  |    2 
 sirt-3.1-80/sirt/R/fit.logistic_alg.R                                              |    2 
 sirt-3.1-80/sirt/R/fuzcluster.R                                                    |    2 
 sirt-3.1-80/sirt/R/fuzcluster_alg.R                                                |    2 
 sirt-3.1-80/sirt/R/fuzdiscr.R                                                      |    2 
 sirt-3.1-80/sirt/R/ginverse_sym.R                                                  |    2 
 sirt-3.1-80/sirt/R/gom.em.R                                                        |    2 
 sirt-3.1-80/sirt/R/gom.em.alg.R                                                    |    2 
 sirt-3.1-80/sirt/R/gom.jml.R                                                       |    4 
 sirt-3.1-80/sirt/R/gom.jml_alg.R                                                   |    2 
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 sirt-3.1-80/sirt/R/invgamma2.R                                                     |    2 
 sirt-3.1-80/sirt/R/isop.dich.R                                                     |    2 
 sirt-3.1-80/sirt/R/isop.poly.R                                                     |    2 
 sirt-3.1-80/sirt/R/isop.scoring.R                                                  |    2 
 sirt-3.1-80/sirt/R/isop.test.R                                                     |    2 
 sirt-3.1-80/sirt/R/isop_tests_cpp.R                                                |   13 
 sirt-3.1-80/sirt/R/latent.regression.em.normal.R                                   |    2 
 sirt-3.1-80/sirt/R/latent.regression.em.raschtype.R                                |    2 
 sirt-3.1-80/sirt/R/lavaan2mirt.R                                                   |    2 
 sirt-3.1-80/sirt/R/lavaanify.sirt.R                                                |    2 
 sirt-3.1-80/sirt/R/lc.2raters.R                                                    |    2 
 sirt-3.1-80/sirt/R/lc.2raters.aux.R                                                |    2 
 sirt-3.1-80/sirt/R/likelihood_adjustment.R                                         |    2 
 sirt-3.1-80/sirt/R/likelihood_adjustment_aux.R                                     |    2 
 sirt-3.1-80/sirt/R/likelihood_moments.R                                            |    2 
 sirt-3.1-80/sirt/R/linking.haberman.R                                              |  136 -
 sirt-3.1-80/sirt/R/linking.haebara.R                                               |only
 sirt-3.1-80/sirt/R/linking.robust.R                                                |   64 
 sirt-3.1-80/sirt/R/linking_haberman_als.R                                          |   39 
 sirt-3.1-80/sirt/R/linking_haberman_als_residual_weights.R                         |    4 
 sirt-3.1-80/sirt/R/linking_haberman_als_vcov.R                                     |    2 
 sirt-3.1-80/sirt/R/linking_haberman_vcov_transformation.R                          |    2 
 sirt-3.1-80/sirt/R/linking_haebara_gradient_function_R.R                           |only
 sirt-3.1-80/sirt/R/linking_haebara_optim_function_R.R                              |only
 sirt-3.1-80/sirt/R/linking_haebara_summary_optimization.R                          |only
 sirt-3.1-80/sirt/R/linking_proc_itempars.R                                         |only
 sirt-3.1-80/sirt/R/logLik_sirt.R                                                   |    2 
 sirt-3.1-80/sirt/R/lsdm.R                                                          |  191 -
 sirt-3.1-80/sirt/R/lsdm_est_logist_2pl.R                                           |only
 sirt-3.1-80/sirt/R/lsdm_est_logist_quant.R                                         |only
 sirt-3.1-80/sirt/R/lsdm_est_logist_rasch.R                                         |only
 sirt-3.1-80/sirt/R/lsdm_extract_probquantile.R                                     |only
 sirt-3.1-80/sirt/R/lsdm_irf_distance_mad.R                                         |only
 sirt-3.1-80/sirt/R/lsem.MGM.stepfunctions.R                                        |    2 
 sirt-3.1-80/sirt/R/lsem.estimate.R                                                 |    2 
 sirt-3.1-80/sirt/R/lsem.permutationTest.R                                          |    2 
 sirt-3.1-80/sirt/R/lsem_fitsem.R                                                   |    2 
 sirt-3.1-80/sirt/R/lsem_group_moderator.R                                          |    2 
 sirt-3.1-80/sirt/R/lsem_parameter_summary.R                                        |    2 
 sirt-3.1-80/sirt/R/lsem_residualize.R                                              |    2 
 sirt-3.1-80/sirt/R/lsem_weighted_cov.R                                             |    2 
 sirt-3.1-80/sirt/R/lsem_weighted_mean.R                                            |    2 
 sirt-3.1-80/sirt/R/lsem_wtdSD.R                                                    |    2 
 sirt-3.1-80/sirt/R/marginal.truescore.reliability.R                                |   29 
 sirt-3.1-80/sirt/R/matrix_functions.R                                              |    2 
 sirt-3.1-80/sirt/R/matrixfunctions_sirt.R                                          |    2 
 sirt-3.1-80/sirt/R/mcmc.2pno.R                                                     |    2 
 sirt-3.1-80/sirt/R/mcmc.2pno.ml.R                                                  |    2 
 sirt-3.1-80/sirt/R/mcmc.2pno.ml_alg.R                                              |    2 
 sirt-3.1-80/sirt/R/mcmc.2pno.ml_output.R                                           |    2 
 sirt-3.1-80/sirt/R/mcmc.2pno_alg.R                                                 |    2 
 sirt-3.1-80/sirt/R/mcmc.2pnoh.R                                                    |    2 
 sirt-3.1-80/sirt/R/mcmc.2pnoh_alg.R                                                |    2 
 sirt-3.1-80/sirt/R/mcmc.3pno.testlet.R                                             |    2 
 sirt-3.1-80/sirt/R/mcmc.3pno.testlet_alg.R                                         |    2 
 sirt-3.1-80/sirt/R/mcmc.3pno.testlet_output.R                                      |    2 
 sirt-3.1-80/sirt/R/mcmc.aux.R                                                      |    2 
 sirt-3.1-80/sirt/R/mcmc.list.descriptives.R                                        |    2 
 sirt-3.1-80/sirt/R/mcmc_3pno_testlet_draw_itempars.R                               |    2 
 sirt-3.1-80/sirt/R/mcmc_Rhat.R                                                     |    2 
 sirt-3.1-80/sirt/R/mcmc_WaldTest.R                                                 |    2 
 sirt-3.1-80/sirt/R/mcmc_as_formula.R                                               |    2 
 sirt-3.1-80/sirt/R/mcmc_coef.R                                                     |    2 
 sirt-3.1-80/sirt/R/mcmc_confint.R                                                  |    2 
 sirt-3.1-80/sirt/R/mcmc_derivedPars.R                                              |    2 
 sirt-3.1-80/sirt/R/mcmc_extract_samples_first_chain.R                              |    2 
 sirt-3.1-80/sirt/R/mcmc_plot.R                                                     |    2 
 sirt-3.1-80/sirt/R/mcmc_rename_define_symbols.R                                    |    2 
 sirt-3.1-80/sirt/R/mcmc_rename_helper.R                                            |    2 
 sirt-3.1-80/sirt/R/mcmc_rename_parameter_names.R                                   |    2 
 sirt-3.1-80/sirt/R/mcmc_rename_undo_parameter_names.R                              |    2 
 sirt-3.1-80/sirt/R/mcmc_summary.R                                                  |    2 
 sirt-3.1-80/sirt/R/mcmc_summary_print_information_criteria.R                       |    2 
 sirt-3.1-80/sirt/R/mcmc_vcov.R                                                     |    2 
 sirt-3.1-80/sirt/R/mcmclist2coda.R                                                 |   14 
 sirt-3.1-80/sirt/R/md.pattern.sirt.R                                               |   18 
 sirt-3.1-80/sirt/R/mirt.IRT.functions.R                                            |    2 
 sirt-3.1-80/sirt/R/mirt.model.vars.R                                               |    2 
 sirt-3.1-80/sirt/R/mirt.specify.partable.R                                         |    2 
 sirt-3.1-80/sirt/R/mirt.wrapper.calc.counts.R                                      |    2 
 sirt-3.1-80/sirt/R/mirt.wrapper.coef.R                                             |    2 
 sirt-3.1-80/sirt/R/mirt.wrapper.fscores.R                                          |    2 
 sirt-3.1-80/sirt/R/mirt.wrapper.itemplot.R                                         |    2 
 sirt-3.1-80/sirt/R/mirt.wrapper.posterior.R                                        |    2 
 sirt-3.1-80/sirt/R/mirt_prodterms.R                                                |    2 
 sirt-3.1-80/sirt/R/mle.pcm.group.R                                                 |   78 
 sirt-3.1-80/sirt/R/mle.reliability.R                                               |    2 
 sirt-3.1-80/sirt/R/modelfit.cor.R                                                  |    2 
 sirt-3.1-80/sirt/R/modelfit.cor.poly.R                                             |    2 
 sirt-3.1-80/sirt/R/modelfit.sirt.R                                                 |    2 
 sirt-3.1-80/sirt/R/monoreg.colwise.R                                               |only
 sirt-3.1-80/sirt/R/monoreg.rowwise.R                                               |   18 
 sirt-3.1-80/sirt/R/nedelsky.irf.R                                                  |    2 
 sirt-3.1-80/sirt/R/nedelsky.latresp.R                                              |   14 
 sirt-3.1-80/sirt/R/nedelsky.sim.R                                                  |    2 
 sirt-3.1-80/sirt/R/noharm.sirt.R                                                   |  299 +-
 sirt-3.1-80/sirt/R/noharm.sirt.est.aux.R                                           |   37 
 sirt-3.1-80/sirt/R/noharm_sirt_compute_chi_square_statistics.R                     |only
 sirt-3.1-80/sirt/R/noharm_sirt_compute_final_constants.R                           |only
 sirt-3.1-80/sirt/R/noharm_sirt_efa_rotated_solution.R                              |only
 sirt-3.1-80/sirt/R/noharm_sirt_est_residuals.R                                     |only
 sirt-3.1-80/sirt/R/noharm_sirt_number_estimated_parameters.R                       |only
 sirt-3.1-80/sirt/R/noharm_sirt_outer_coefs.R                                       |only
 sirt-3.1-80/sirt/R/noharm_sirt_preproc.R                                           |only
 sirt-3.1-80/sirt/R/normal2.cw.R                                                    |   40 
 sirt-3.1-80/sirt/R/np.dich.R                                                       |    2 
 sirt-3.1-80/sirt/R/nr.numdiff.R                                                    |   12 
 sirt-3.1-80/sirt/R/package_version_date.R                                          |    2 
 sirt-3.1-80/sirt/R/parmsummary_extend.R                                            |    2 
 sirt-3.1-80/sirt/R/pbivnorm2.R                                                     |    2 
 sirt-3.1-80/sirt/R/pcm.conversion.R                                                |   35 
 sirt-3.1-80/sirt/R/pcm.fit.R                                                       |    2 
 sirt-3.1-80/sirt/R/personfit.R                                                     |    2 
 sirt-3.1-80/sirt/R/personfit.stat.R                                                |    2 
 sirt-3.1-80/sirt/R/pgenlogis.R                                                     |    2 
 sirt-3.1-80/sirt/R/plausible.values.raschtype.R                                    |    2 
 sirt-3.1-80/sirt/R/plot.isop.R                                                     |    2 
 sirt-3.1-80/sirt/R/plot.linking.robust.R                                           |only
 sirt-3.1-80/sirt/R/plot.lsdm.R                                                     |only
 sirt-3.1-80/sirt/R/plot.lsem.R                                                     |    2 
 sirt-3.1-80/sirt/R/plot.lsem.permutationTest.R                                     |    2 
 sirt-3.1-80/sirt/R/plot.mcmc.sirt.R                                                |   66 
 sirt-3.1-80/sirt/R/plot.rasch.mml.R                                                |    2 
 sirt-3.1-80/sirt/R/plot.rm.sdt.R                                                   |    2 
 sirt-3.1-80/sirt/R/polychoric2.R                                                   |   20 
 sirt-3.1-80/sirt/R/pow.R                                                           |    2 
 sirt-3.1-80/sirt/R/print.xxirt.R                                                   |   15 
 sirt-3.1-80/sirt/R/prior_extract_density.R                                         |    2 
 sirt-3.1-80/sirt/R/prior_model_pars_CleanString.R                                  |    2 
 sirt-3.1-80/sirt/R/prior_model_parse.R                                             |    2 
 sirt-3.1-80/sirt/R/prmse.subscores.R                                               |    2 
 sirt-3.1-80/sirt/R/prob.guttman.R                                                  |    2 
 sirt-3.1-80/sirt/R/prob_genlogis_4pl.R                                             |    5 
 sirt-3.1-80/sirt/R/qmc.nodes.R                                                     |   10 
 sirt-3.1-80/sirt/R/rasch.conquest.R                                                |    2 
 sirt-3.1-80/sirt/R/rasch.copula.R                                                  |  215 -
 sirt-3.1-80/sirt/R/rasch.copula2.R                                                 |    9 
 sirt-3.1-80/sirt/R/rasch.copula2_aux.R                                             |   13 
 sirt-3.1-80/sirt/R/rasch.copula3.R                                                 |    9 
 sirt-3.1-80/sirt/R/rasch.copula3.covariance.R                                      |    2 
 sirt-3.1-80/sirt/R/rasch.copula3_aux.R                                             |    2 
 sirt-3.1-80/sirt/R/rasch.evm.pcm.R                                                 |  183 -
 sirt-3.1-80/sirt/R/rasch.jml.R                                                     |    2 
 sirt-3.1-80/sirt/R/rasch.jml.biascorr.R                                            |    2 
 sirt-3.1-80/sirt/R/rasch.mirtlc.R                                                  |    2 
 sirt-3.1-80/sirt/R/rasch.mirtlc_aux.R                                              |    2 
 sirt-3.1-80/sirt/R/rasch.mml.R                                                     |    2 
 sirt-3.1-80/sirt/R/rasch.mml.npirt.R                                               |    2 
 sirt-3.1-80/sirt/R/rasch.mml.ramsay.R                                              |    2 
 sirt-3.1-80/sirt/R/rasch.mml.raschtype.R                                           |    2 
 sirt-3.1-80/sirt/R/rasch.mml2.R                                                    |    2 
 sirt-3.1-80/sirt/R/rasch.mml2.missing1.R                                           |    2 
 sirt-3.1-80/sirt/R/rasch.pairwise.R                                                |  161 -
 sirt-3.1-80/sirt/R/rasch.pairwise.itemcluster.R                                    |   95 
 sirt-3.1-80/sirt/R/rasch.pml.R                                                     |    2 
 sirt-3.1-80/sirt/R/rasch.pml2.R                                                    |    2 
 sirt-3.1-80/sirt/R/rasch.pml2_aux.R                                                |    2 
 sirt-3.1-80/sirt/R/rasch.pml3.R                                                    |    6 
 sirt-3.1-80/sirt/R/rasch.pml3_aux.R                                                |    2 
 sirt-3.1-80/sirt/R/rasch.pml_aux.R                                                 |    2 
 sirt-3.1-80/sirt/R/rasch.prox.R                                                    |    2 
 sirt-3.1-80/sirt/R/rasch.va.R                                                      |   13 
 sirt-3.1-80/sirt/R/rasch_evm_pcm_dif.R                                             |only
 sirt-3.1-80/sirt/R/rasch_jml_centeritems.R                                         |    2 
 sirt-3.1-80/sirt/R/rasch_jml_centerpersons.R                                       |    2 
 sirt-3.1-80/sirt/R/rasch_jml_emp_discrim.R                                         |    2 
 sirt-3.1-80/sirt/R/rasch_jml_itemfit.R                                             |    2 
 sirt-3.1-80/sirt/R/rasch_jml_person_parameters_summary.R                           |    2 
 sirt-3.1-80/sirt/R/rasch_jml_update_b.R                                            |    2 
 sirt-3.1-80/sirt/R/rasch_mml2_calc_prob.R                                          |    2 
 sirt-3.1-80/sirt/R/rasch_mml2_difference_quotient.R                                |    4 
 sirt-3.1-80/sirt/R/rasch_mml2_modify_list_element.R                                |    2 
 sirt-3.1-80/sirt/R/rasch_mml2_mstep_calc_likelihood.R                              |    2 
 sirt-3.1-80/sirt/R/read.fwf2.R                                                     |    2 
 sirt-3.1-80/sirt/R/reliability.nonlinear.sem.R                                     |    2 
 sirt-3.1-80/sirt/R/rm.facets.R                                                     |    5 
 sirt-3.1-80/sirt/R/rm.sdt.R                                                        |    2 
 sirt-3.1-80/sirt/R/rm_calclike.R                                                   |    2 
 sirt-3.1-80/sirt/R/rm_center_vector.R                                              |    2 
 sirt-3.1-80/sirt/R/rm_determine_fixed_tau_parameters.R                             |    2 
 sirt-3.1-80/sirt/R/rm_eap_reliability.R                                            |    2 
 sirt-3.1-80/sirt/R/rm_facets_calc_loglikelihood.R                                  |    2 
 sirt-3.1-80/sirt/R/rm_facets_calcprobs.R                                           |    2 
 sirt-3.1-80/sirt/R/rm_facets_center_value.R                                        |    2 
 sirt-3.1-80/sirt/R/rm_facets_center_value_aggregate.R                              |    2 
 sirt-3.1-80/sirt/R/rm_facets_est_a_item.R                                          |    2 
 sirt-3.1-80/sirt/R/rm_facets_est_a_rater.R                                         |    2 
 sirt-3.1-80/sirt/R/rm_facets_est_b_rater.R                                         |    2 
 sirt-3.1-80/sirt/R/rm_facets_est_tau_item.R                                        |    2 
 sirt-3.1-80/sirt/R/rm_facets_ic.R                                                  |    2 
 sirt-3.1-80/sirt/R/rm_facets_itempar_expanded.R                                    |    2 
 sirt-3.1-80/sirt/R/rm_facets_pem_acceleration.R                                    |    2 
 sirt-3.1-80/sirt/R/rm_facets_pem_inits.R                                           |    2 
 sirt-3.1-80/sirt/R/rm_facets_postproc_person.R                                     |    2 
 sirt-3.1-80/sirt/R/rm_facets_postproc_rater_parameters.R                           |    2 
 sirt-3.1-80/sirt/R/rm_facets_pp_mle.R                                              |only
 sirt-3.1-80/sirt/R/rm_facets_pp_mle_calc_ll.R                                      |only
 sirt-3.1-80/sirt/R/rm_facets_pp_mle_calc_ll_theta.R                                |only
 sirt-3.1-80/sirt/R/rm_facets_pp_mle_calc_pcm.R                                     |only
 sirt-3.1-80/sirt/R/rm_facets_print_progress.R                                      |    2 
 sirt-3.1-80/sirt/R/rm_facets_print_progress_deviance.R                             |    2 
 sirt-3.1-80/sirt/R/rm_facets_print_progress_parameter.R                            |    2 
 sirt-3.1-80/sirt/R/rm_facets_print_progress_trait_distribution.R                   |    2 
 sirt-3.1-80/sirt/R/rm_facets_string_part_extract.R                                 |    2 
 sirt-3.1-80/sirt/R/rm_grouped_expected_likelihood.R                                |    2 
 sirt-3.1-80/sirt/R/rm_ic_criteria.R                                                |    2 
 sirt-3.1-80/sirt/R/rm_numdiff_discrete_differences.R                               |    2 
 sirt-3.1-80/sirt/R/rm_numdiff_index.R                                              |    2 
 sirt-3.1-80/sirt/R/rm_numdiff_trim_increment.R                                     |    9 
 sirt-3.1-80/sirt/R/rm_pcm_calcprobs.R                                              |only
 sirt-3.1-80/sirt/R/rm_posterior.R                                                  |    2 
 sirt-3.1-80/sirt/R/rm_proc_create_pseudoraters.R                                   |    2 
 sirt-3.1-80/sirt/R/rm_proc_data.R                                                  |    2 
 sirt-3.1-80/sirt/R/rm_proc_fixed_values_reference_rater.R                          |    2 
 sirt-3.1-80/sirt/R/rm_sdt_calc_expected_likelihood_item.R                          |    2 
 sirt-3.1-80/sirt/R/rm_sdt_calc_gradient_likelihood_item.R                          |    2 
 sirt-3.1-80/sirt/R/rm_sdt_calc_gradient_likelihood_item_llgrad.R                   |    2 
 sirt-3.1-80/sirt/R/rm_sdt_calc_gradient_likelihood_item_llgrad2.R                  |    2 
 sirt-3.1-80/sirt/R/rm_sdt_calc_probs_gpcm.R                                        |    4 
 sirt-3.1-80/sirt/R/rm_sdt_calc_probs_gpcm_rcpp.R                                   |    2 
 sirt-3.1-80/sirt/R/rm_sdt_calc_probs_grm_item_rcpp.R                               |    2 
 sirt-3.1-80/sirt/R/rm_sdt_calc_probs_grm_rcpp.R                                    |    2 
 sirt-3.1-80/sirt/R/rm_sdt_create_parm_index_modify_elements.R                      |    2 
 sirt-3.1-80/sirt/R/rm_sdt_create_parm_index_rater.R                                |    2 
 sirt-3.1-80/sirt/R/rm_sdt_create_partable.R                                        |    2 
 sirt-3.1-80/sirt/R/rm_sdt_create_partable_define_pargroups.R                       |    2 
 sirt-3.1-80/sirt/R/rm_sdt_create_partable_include_fixed_item_category_parameters.R |    2 
 sirt-3.1-80/sirt/R/rm_sdt_create_partable_include_index.R                          |    2 
 sirt-3.1-80/sirt/R/rm_sdt_create_partable_include_priors.R                         |    2 
 sirt-3.1-80/sirt/R/rm_sdt_create_partable_pargroup_indices.R                       |    2 
 sirt-3.1-80/sirt/R/rm_sdt_evaluate_prior.R                                         |    2 
 sirt-3.1-80/sirt/R/rm_sdt_evaluate_prior_derivative.R                              |    2 
 sirt-3.1-80/sirt/R/rm_sdt_extract_par_from_partable.R                              |    2 
 sirt-3.1-80/sirt/R/rm_sdt_extract_par_from_partable_add_increment.R                |    2 
 sirt-3.1-80/sirt/R/rm_sdt_fill_init_partable.R                                     |    2 
 sirt-3.1-80/sirt/R/rm_sdt_fill_init_partables.R                                    |    2 
 sirt-3.1-80/sirt/R/rm_sdt_fill_par_to_partable.R                                   |    2 
 sirt-3.1-80/sirt/R/rm_sdt_mstep_include_probs_args.R                               |    2 
 sirt-3.1-80/sirt/R/rm_sdt_mstep_item_function_gradient.R                           |    2 
 sirt-3.1-80/sirt/R/rm_sdt_mstep_item_function_value.R                              |    2 
 sirt-3.1-80/sirt/R/rm_sdt_mstep_numdiff_diffindex.R                                |    2 
 sirt-3.1-80/sirt/R/rm_sdt_mstep_rater_function_gradient.R                          |    2 
 sirt-3.1-80/sirt/R/rm_sdt_mstep_rater_function_value.R                             |    2 
 sirt-3.1-80/sirt/R/rm_sdt_mstep_type_function_gradient.R                           |    2 
 sirt-3.1-80/sirt/R/rm_sdt_mstep_type_function_value.R                              |    2 
 sirt-3.1-80/sirt/R/rm_sdt_pem_inits.R                                              |    2 
 sirt-3.1-80/sirt/R/rm_sdt_postproc_ic.R                                            |    2 
 sirt-3.1-80/sirt/R/rm_sdt_prepare_diffindex.R                                      |    2 
 sirt-3.1-80/sirt/R/rm_sdt_print_progress.R                                         |    2 
 sirt-3.1-80/sirt/R/rm_smooth_distribution.R                                        |    2 
 sirt-3.1-80/sirt/R/rm_squeeze.R                                                    |    2 
 sirt-3.1-80/sirt/R/rm_summary_information_criteria.R                               |    2 
 sirt-3.1-80/sirt/R/rm_summary_information_criteria_print_one_criterium.R           |    2 
 sirt-3.1-80/sirt/R/rm_summary_trait_distribution.R                                 |    2 
 sirt-3.1-80/sirt/R/rm_trim_increments_mstep.R                                      |    2 
 sirt-3.1-80/sirt/R/sia.sirt.R                                                      |  107 
 sirt-3.1-80/sirt/R/sia_sirt_remove_transitive.R                                    |only
 sirt-3.1-80/sirt/R/sim.rasch.dep.R                                                 |   23 
 sirt-3.1-80/sirt/R/sim.raschtype.R                                                 |   23 
 sirt-3.1-80/sirt/R/sirt_abs_smooth.R                                               |only
 sirt-3.1-80/sirt/R/sirt_antifisherz.R                                              |    2 
 sirt-3.1-80/sirt/R/sirt_attach_list_elements.R                                     |    2 
 sirt-3.1-80/sirt/R/sirt_colMaxs.R                                                  |    9 
 sirt-3.1-80/sirt/R/sirt_colMeans.R                                                 |only
 sirt-3.1-80/sirt/R/sirt_colMedians.R                                               |only
 sirt-3.1-80/sirt/R/sirt_colMins.R                                                  |only
 sirt-3.1-80/sirt/R/sirt_colSDs.R                                                   |only
 sirt-3.1-80/sirt/R/sirt_csink.R                                                    |    2 
 sirt-3.1-80/sirt/R/sirt_dnorm_discrete.R                                           |    2 
 sirt-3.1-80/sirt/R/sirt_eigenvalues.R                                              |only
 sirt-3.1-80/sirt/R/sirt_fisherz.R                                                  |    2 
 sirt-3.1-80/sirt/R/sirt_format_numb.R                                              |only
 sirt-3.1-80/sirt/R/sirt_matrix2.R                                                  |    2 
 sirt-3.1-80/sirt/R/sirt_matrix_names.R                                             |only
 sirt-3.1-80/sirt/R/sirt_moving_average.R                                           |only
 sirt-3.1-80/sirt/R/sirt_optimizer.R                                                |   17 
 sirt-3.1-80/sirt/R/sirt_osink.R                                                    |    2 
 sirt-3.1-80/sirt/R/sirt_pem_adjust_dimension.R                                     |    2 
 sirt-3.1-80/sirt/R/sirt_pem_algorithm_compute_Pnew.R                               |    2 
 sirt-3.1-80/sirt/R/sirt_pem_algorithm_compute_t.R                                  |    2 
 sirt-3.1-80/sirt/R/sirt_pem_collect_parameters.R                                   |    2 
 sirt-3.1-80/sirt/R/sirt_pem_create_parameter_index.R                               |    2 
 sirt-3.1-80/sirt/R/sirt_pem_extract_dimension.R                                    |    2 
 sirt-3.1-80/sirt/R/sirt_pem_extract_parameters.R                                   |    2 
 sirt-3.1-80/sirt/R/sirt_pem_include_ll_args.R                                      |    2 
 sirt-3.1-80/sirt/R/sirt_pem_parameter_sequence_initial_iterations.R                |    2 
 sirt-3.1-80/sirt/R/sirt_permutations.R                                             |only
 sirt-3.1-80/sirt/R/sirt_print_helper.R                                             |only
 sirt-3.1-80/sirt/R/sirt_progress_cat.R                                             |only
 sirt-3.1-80/sirt/R/sirt_rbind_fill.R                                               |    2 
 sirt-3.1-80/sirt/R/sirt_rmvnorm.R                                                  |    2 
 sirt-3.1-80/sirt/R/sirt_round_vector.R                                             |    2 
 sirt-3.1-80/sirt/R/sirt_rsquared.R                                                 |only
 sirt-3.1-80/sirt/R/sirt_sign_space.R                                               |    2 
 sirt-3.1-80/sirt/R/sirt_sum.R                                                      |only
 sirt-3.1-80/sirt/R/sirt_sum_norm.R                                                 |only
 sirt-3.1-80/sirt/R/sirt_summary_cat_label_equal_value.R                            |    2 
 sirt-3.1-80/sirt/R/sirt_summary_label_equal_value.R                                |    2 
 sirt-3.1-80/sirt/R/sirt_summary_print_call.R                                       |    2 
 sirt-3.1-80/sirt/R/sirt_summary_print_computation_time.R                           |    2 
 sirt-3.1-80/sirt/R/sirt_summary_print_computation_time_s1.R                        |    2 
 sirt-3.1-80/sirt/R/sirt_summary_print_display.R                                    |only
 sirt-3.1-80/sirt/R/sirt_summary_print_objects.R                                    |   21 
 sirt-3.1-80/sirt/R/sirt_summary_print_package.R                                    |    2 
 sirt-3.1-80/sirt/R/sirt_summary_print_package_rsession.R                           |    4 
 sirt-3.1-80/sirt/R/sirt_summary_print_packages.R                                   |    2 
 sirt-3.1-80/sirt/R/sirt_summary_print_rsession.R                                   |    2 
 sirt-3.1-80/sirt/R/sirt_summary_print_vector_summary.R                             |only
 sirt-3.1-80/sirt/R/sirt_vector_with_names.R                                        |    6 
 sirt-3.1-80/sirt/R/sirtcat.R                                                       |    2 
 sirt-3.1-80/sirt/R/smirt.R                                                         |    2 
 sirt-3.1-80/sirt/R/smirt_alg_comp.R                                                |    2 
 sirt-3.1-80/sirt/R/smirt_alg_noncomp.R                                             |    2 
 sirt-3.1-80/sirt/R/smirt_alg_partcomp.R                                            |    2 
 sirt-3.1-80/sirt/R/smirt_postproc.R                                                |    2 
 sirt-3.1-80/sirt/R/smirt_preproc.R                                                 |    2 
 sirt-3.1-80/sirt/R/smirt_squeeze.R                                                 |    2 
 sirt-3.1-80/sirt/R/soft_thresholding.R                                             |    2 
 sirt-3.1-80/sirt/R/stratified.cronbach.alpha.R                                     |    2 
 sirt-3.1-80/sirt/R/summary.R2noharm.R                                              |    2 
 sirt-3.1-80/sirt/R/summary.R2noharm.jackknife.R                                    |    2 
 sirt-3.1-80/sirt/R/summary.btm.R                                                   |    2 
 sirt-3.1-80/sirt/R/summary.conf.detect.R                                           |   28 
 sirt-3.1-80/sirt/R/summary.fuzcluster.R                                            |    2 
 sirt-3.1-80/sirt/R/summary.gom.em.R                                                |    2 
 sirt-3.1-80/sirt/R/summary.invariance.alignment.R                                  |  115 
 sirt-3.1-80/sirt/R/summary.invariance_alignment_constraints.R                      |only
 sirt-3.1-80/sirt/R/summary.isop.R                                                  |    2 
 sirt-3.1-80/sirt/R/summary.isop.test.R                                             |    5 
 sirt-3.1-80/sirt/R/summary.latent.regression.R                                     |    2 
 sirt-3.1-80/sirt/R/summary.linking.haberman.R                                      |   54 
 sirt-3.1-80/sirt/R/summary.linking.haebara.R                                       |only
 sirt-3.1-80/sirt/R/summary.linking.robust.R                                        |only
 sirt-3.1-80/sirt/R/summary.lsdm.R                                                  |   89 
 sirt-3.1-80/sirt/R/summary.lsem.R                                                  |    2 
 sirt-3.1-80/sirt/R/summary.lsem.permutationTest.R                                  |   22 
 sirt-3.1-80/sirt/R/summary.mcmc.sirt.R                                             |   11 
 sirt-3.1-80/sirt/R/summary.modelfit.sirt.R                                         |    2 
 sirt-3.1-80/sirt/R/summary.noharm.sirt.R                                           |  117 
 sirt-3.1-80/sirt/R/summary.rasch.copula2.R                                         |only
 sirt-3.1-80/sirt/R/summary.rasch.copula3.R                                         |only
 sirt-3.1-80/sirt/R/summary.rasch.evm.pcm.R                                         |   52 
 sirt-3.1-80/sirt/R/summary.rasch.jml.R                                             |    2 
 sirt-3.1-80/sirt/R/summary.rasch.mirtlc.R                                          |    2 
 sirt-3.1-80/sirt/R/summary.rasch.mml2.R                                            |    2 
 sirt-3.1-80/sirt/R/summary.rasch.pairwise.R                                        |only
 sirt-3.1-80/sirt/R/summary.rasch.pml.R                                             |    6 
 sirt-3.1-80/sirt/R/summary.rm.facets.R                                             |    9 
 sirt-3.1-80/sirt/R/summary.rm.sdt.R                                                |    8 
 sirt-3.1-80/sirt/R/summary.smirt.R                                                 |    2 
 sirt-3.1-80/sirt/R/summary.xxirt.R                                                 |    2 
 sirt-3.1-80/sirt/R/summary_round_helper.R                                          |    2 
 sirt-3.1-80/sirt/R/tam2mirt.R                                                      |    2 
 sirt-3.1-80/sirt/R/tam2mirt_fix.R                                                  |    2 
 sirt-3.1-80/sirt/R/tam2mirt_freed.R                                                |    2 
 sirt-3.1-80/sirt/R/testlet.marginalized.R                                          |   18 
 sirt-3.1-80/sirt/R/testlet.yen.q3.R                                                |    2 
 sirt-3.1-80/sirt/R/tetrachoric2.R                                                  |    2 
 sirt-3.1-80/sirt/R/tracemat.R                                                      |    4 
 sirt-3.1-80/sirt/R/truescore.irt.R                                                 |    2 
 sirt-3.1-80/sirt/R/unidim.csn.R                                                    |   20 
 sirt-3.1-80/sirt/R/vcov.rasch.evm.pcm.R                                            |only
 sirt-3.1-80/sirt/R/weighted_colMeans.R                                             |    2 
 sirt-3.1-80/sirt/R/weighted_colSums.R                                              |    2 
 sirt-3.1-80/sirt/R/weighted_rowMeans.R                                             |    2 
 sirt-3.1-80/sirt/R/weighted_rowSums.R                                              |    2 
 sirt-3.1-80/sirt/R/weighted_stats_extend_wgt.R                                     |    2 
 sirt-3.1-80/sirt/R/wle.rasch.R                                                     |    2 
 sirt-3.1-80/sirt/R/wle.rasch.jackknife.R                                           |    2 
 sirt-3.1-80/sirt/R/write.format2.R                                                 |    2 
 sirt-3.1-80/sirt/R/write.fwf2.R                                                    |    2 
 sirt-3.1-80/sirt/R/xxirt.R                                                         |   56 
 sirt-3.1-80/sirt/R/xxirt_EAP.R                                                     |    2 
 sirt-3.1-80/sirt/R/xxirt_IRT.se.R                                                  |    2 
 sirt-3.1-80/sirt/R/xxirt_ThetaDistribution_extract_freeParameters.R                |    2 
 sirt-3.1-80/sirt/R/xxirt_coef.R                                                    |    2 
 sirt-3.1-80/sirt/R/xxirt_compute_itemprobs.R                                       |    2 
 sirt-3.1-80/sirt/R/xxirt_compute_likelihood.R                                      |    2 
 sirt-3.1-80/sirt/R/xxirt_compute_posterior.R                                       |    2 
 sirt-3.1-80/sirt/R/xxirt_compute_priorDistribution.R                               |    2 
 sirt-3.1-80/sirt/R/xxirt_createDiscItem.R                                          |    2 
 sirt-3.1-80/sirt/R/xxirt_createItemList.R                                          |    2 
 sirt-3.1-80/sirt/R/xxirt_createParTable.R                                          |    2 
 sirt-3.1-80/sirt/R/xxirt_createThetaDistribution.R                                 |    2 
 sirt-3.1-80/sirt/R/xxirt_data_proc.R                                               |    2 
 sirt-3.1-80/sirt/R/xxirt_hessian.R                                                 |    2 
 sirt-3.1-80/sirt/R/xxirt_ic.R                                                      |    2 
 sirt-3.1-80/sirt/R/xxirt_modifyParTable.R                                          |    2 
 sirt-3.1-80/sirt/R/xxirt_mstep_ThetaParameters.R                                   |    2 
 sirt-3.1-80/sirt/R/xxirt_mstep_itemParameters.R                                    |    2 
 sirt-3.1-80/sirt/R/xxirt_mstep_itemParameters_evalPrior.R                          |    2 
 sirt-3.1-80/sirt/R/xxirt_parTheta_extract_freeParameters.R                         |    2 
 sirt-3.1-80/sirt/R/xxirt_partable_extract_freeParameters.R                         |    2 
 sirt-3.1-80/sirt/R/xxirt_partable_include_freeParameters.R                         |    2 
 sirt-3.1-80/sirt/R/xxirt_postproc_parameters.R                                     |    2 
 sirt-3.1-80/sirt/R/xxirt_prepare_response_data.R                                   |    2 
 sirt-3.1-80/sirt/R/xxirt_proc_ParTable.R                                           |    2 
 sirt-3.1-80/sirt/R/xxirt_vcov.R                                                    |    2 
 sirt-3.1-80/sirt/R/yen.q3.R                                                        |    2 
 sirt-3.1-80/sirt/R/zzz.R                                                           |   11 
 sirt-3.1-80/sirt/build/partial.rdb                                                 |binary
 sirt-3.1-80/sirt/inst/NEWS                                                         |   30 
 sirt-3.1-80/sirt/inst/include                                                      |only
 sirt-3.1-80/sirt/man/IRT.mle.Rd                                                    |   12 
 sirt-3.1-80/sirt/man/Q3.Rd                                                         |   17 
 sirt-3.1-80/sirt/man/Q3.testlet.Rd                                                 |   19 
 sirt-3.1-80/sirt/man/R2conquest.Rd                                                 |   16 
 sirt-3.1-80/sirt/man/R2noharm.EAP.Rd                                               |   14 
 sirt-3.1-80/sirt/man/R2noharm.Rd                                                   |   15 
 sirt-3.1-80/sirt/man/R2noharm.jackknife.Rd                                         |   15 
 sirt-3.1-80/sirt/man/automatic.recode.Rd                                           |   10 
 sirt-3.1-80/sirt/man/brm.sim.Rd                                                    |   10 
 sirt-3.1-80/sirt/man/btm.Rd                                                        |   12 
 sirt-3.1-80/sirt/man/categorize.Rd                                                 |   10 
 sirt-3.1-80/sirt/man/ccov.np.Rd                                                    |   12 
 sirt-3.1-80/sirt/man/class.accuracy.rasch.Rd                                       |   10 
 sirt-3.1-80/sirt/man/conf.detect.Rd                                                |   10 
 sirt-3.1-80/sirt/man/data.activity.itempars.Rd                                     |    4 
 sirt-3.1-80/sirt/man/data.befki.Rd                                                 |    2 
 sirt-3.1-80/sirt/man/data.big5.Rd                                                  |    4 
 sirt-3.1-80/sirt/man/data.bs.Rd                                                    |    4 
 sirt-3.1-80/sirt/man/data.eid.Rd                                                   |    4 
 sirt-3.1-80/sirt/man/data.ess2005.Rd                                               |    4 
 sirt-3.1-80/sirt/man/data.g308.Rd                                                  |    4 
 sirt-3.1-80/sirt/man/data.inv4gr.Rd                                                |    4 
 sirt-3.1-80/sirt/man/data.liking.science.Rd                                        |    4 
 sirt-3.1-80/sirt/man/data.long.Rd                                                  |    4 
 sirt-3.1-80/sirt/man/data.lsem.Rd                                                  |    4 
 sirt-3.1-80/sirt/man/data.math.Rd                                                  |    4 
 sirt-3.1-80/sirt/man/data.mcdonald.Rd                                              |    4 
 sirt-3.1-80/sirt/man/data.mixed1.Rd                                                |    4 
 sirt-3.1-80/sirt/man/data.ml.Rd                                                    |    4 
 sirt-3.1-80/sirt/man/data.noharm.Rd                                                |    4 
 sirt-3.1-80/sirt/man/data.pars1.rasch.Rd                                           |    4 
 sirt-3.1-80/sirt/man/data.pirlsmissing.Rd                                          |    4 
 sirt-3.1-80/sirt/man/data.pisaMath.Rd                                              |    4 
 sirt-3.1-80/sirt/man/data.pisaPars.Rd                                              |    4 
 sirt-3.1-80/sirt/man/data.pisaRead.Rd                                              |    4 
 sirt-3.1-80/sirt/man/data.pw01.Rd                                                  |    4 
 sirt-3.1-80/sirt/man/data.ratings1.Rd                                              |    4 
 sirt-3.1-80/sirt/man/data.raw1.Rd                                                  |    4 
 sirt-3.1-80/sirt/man/data.read.Rd                                                  |    4 
 sirt-3.1-80/sirt/man/data.reck.Rd                                                  |    4 
 sirt-3.1-80/sirt/man/data.si.Rd                                                    |    4 
 sirt-3.1-80/sirt/man/data.timss.Rd                                                 |    4 
 sirt-3.1-80/sirt/man/data.timss07.G8.RUS.Rd                                        |    4 
 sirt-3.1-80/sirt/man/data.wide2long.Rd                                             |   10 
 sirt-3.1-80/sirt/man/detect.index.Rd                                               |   11 
 sirt-3.1-80/sirt/man/dif.logistic.regression.Rd                                    |   12 
 sirt-3.1-80/sirt/man/dif.strata.variance.Rd                                        |   12 
 sirt-3.1-80/sirt/man/dif.variance.Rd                                               |   13 
 sirt-3.1-80/sirt/man/dirichlet.mle.Rd                                              |   11 
 sirt-3.1-80/sirt/man/dirichlet.simul.Rd                                            |   10 
 sirt-3.1-80/sirt/man/eigenvalues.manymatrices.Rd                                   |   11 
 sirt-3.1-80/sirt/man/equating.rasch.Rd                                             |   15 
 sirt-3.1-80/sirt/man/equating.rasch.jackknife.Rd                                   |   15 
 sirt-3.1-80/sirt/man/expl.detect.Rd                                                |   12 
 sirt-3.1-80/sirt/man/f1d.irt.Rd                                                    |   13 
 sirt-3.1-80/sirt/man/fit.isop.Rd                                                   |   15 
 sirt-3.1-80/sirt/man/fuzcluster.Rd                                                 |   16 
 sirt-3.1-80/sirt/man/fuzdiscr.Rd                                                   |   15 
 sirt-3.1-80/sirt/man/gom.em.Rd                                                     |   17 
 sirt-3.1-80/sirt/man/gom.jml.Rd                                                    |   13 
 sirt-3.1-80/sirt/man/greenyang.reliability.Rd                                      |   12 
 sirt-3.1-80/sirt/man/invariance.alignment.Rd                                       |  219 -
 sirt-3.1-80/sirt/man/isop.Rd                                                       |   19 
 sirt-3.1-80/sirt/man/isop.scoring.Rd                                               |   14 
 sirt-3.1-80/sirt/man/isop.test.Rd                                                  |   17 
 sirt-3.1-80/sirt/man/latent.regression.em.raschtype.Rd                             |   19 
 sirt-3.1-80/sirt/man/lavaan2mirt.Rd                                                |   15 
 sirt-3.1-80/sirt/man/lc.2raters.Rd                                                 |   17 
 sirt-3.1-80/sirt/man/likelihood.adjustment.Rd                                      |   12 
 sirt-3.1-80/sirt/man/linking.haberman.Rd                                           |   70 
 sirt-3.1-80/sirt/man/linking.haebara.Rd                                            |only
 sirt-3.1-80/sirt/man/linking.robust.Rd                                             |   19 
 sirt-3.1-80/sirt/man/lsdm.Rd                                                       |  307 +-
 sirt-3.1-80/sirt/man/lsem.estimate.Rd                                              |    4 
 sirt-3.1-80/sirt/man/lsem.permutationTest.Rd                                       |   11 
 sirt-3.1-80/sirt/man/marginal.truescore.reliability.Rd                             |   13 
 sirt-3.1-80/sirt/man/matrixfunctions.sirt.Rd                                       |    4 
 sirt-3.1-80/sirt/man/mcmc.2pno.Rd                                                  |   13 
 sirt-3.1-80/sirt/man/mcmc.2pno.ml.Rd                                               |   17 
 sirt-3.1-80/sirt/man/mcmc.2pnoh.Rd                                                 |   13 
 sirt-3.1-80/sirt/man/mcmc.3pno.testlet.Rd                                          |   17 
 sirt-3.1-80/sirt/man/mcmc.list.descriptives.Rd                                     |   11 
 sirt-3.1-80/sirt/man/mcmc_Rhat.Rd                                                  |    2 
 sirt-3.1-80/sirt/man/mcmc_coef.Rd                                                  |   11 
 sirt-3.1-80/sirt/man/mcmclist2coda.Rd                                              |   13 
 sirt-3.1-80/sirt/man/md.pattern.sirt.Rd                                            |   12 
 sirt-3.1-80/sirt/man/mirt.specify.partable.Rd                                      |    4 
 sirt-3.1-80/sirt/man/mirt.wrapper.Rd                                               |   12 
 sirt-3.1-80/sirt/man/mle.pcm.group.Rd                                              |   15 
 sirt-3.1-80/sirt/man/modelfit.sirt.Rd                                              |   13 
 sirt-3.1-80/sirt/man/monoreg.rowwise.Rd                                            |    6 
 sirt-3.1-80/sirt/man/nedelsky.sim.Rd                                               |   13 
 sirt-3.1-80/sirt/man/noharm.sirt.Rd                                                |   16 
 sirt-3.1-80/sirt/man/np.dich.Rd                                                    |   13 
 sirt-3.1-80/sirt/man/parmsummary_extend.Rd                                         |    2 
 sirt-3.1-80/sirt/man/pbivnorm2.Rd                                                  |   13 
 sirt-3.1-80/sirt/man/pcm.conversion.Rd                                             |   13 
 sirt-3.1-80/sirt/man/pcm.fit.Rd                                                    |    6 
 sirt-3.1-80/sirt/man/person.parameter.rasch.copula.Rd                              |   15 
 sirt-3.1-80/sirt/man/personfit.stat.Rd                                             |   13 
 sirt-3.1-80/sirt/man/pgenlogis.Rd                                                  |   15 
 sirt-3.1-80/sirt/man/plausible.value.imputation.raschtype.Rd                       |   19 
 sirt-3.1-80/sirt/man/plot.mcmc.sirt.Rd                                             |   13 
 sirt-3.1-80/sirt/man/plot.np.dich.Rd                                               |   15 
 sirt-3.1-80/sirt/man/polychoric2.Rd                                                |   14 
 sirt-3.1-80/sirt/man/prior_model_parse.Rd                                          |   11 
 sirt-3.1-80/sirt/man/prmse.subscores.scales.Rd                                     |   13 
 sirt-3.1-80/sirt/man/prob.guttman.Rd                                               |   15 
 sirt-3.1-80/sirt/man/qmc.nodes.Rd                                                  |   13 
 sirt-3.1-80/sirt/man/rasch.copula.Rd                                               |   64 
 sirt-3.1-80/sirt/man/rasch.evm.pcm.Rd                                              |   27 
 sirt-3.1-80/sirt/man/rasch.jml.Rd                                                  |   15 
 sirt-3.1-80/sirt/man/rasch.jml.biascorr.Rd                                         |   13 
 sirt-3.1-80/sirt/man/rasch.jml.jackknife1.Rd                                       |   13 
 sirt-3.1-80/sirt/man/rasch.mirtlc.Rd                                               |   15 
 sirt-3.1-80/sirt/man/rasch.mml.Rd                                                  |   16 
 sirt-3.1-80/sirt/man/rasch.pairwise.Rd                                             |   21 
 sirt-3.1-80/sirt/man/rasch.pairwise.itemcluster.Rd                                 |   30 
 sirt-3.1-80/sirt/man/rasch.pml3.Rd                                                 |   17 
 sirt-3.1-80/sirt/man/rasch.prox.Rd                                                 |   13 
 sirt-3.1-80/sirt/man/rasch.va.Rd                                                   |   13 
 sirt-3.1-80/sirt/man/reliability.nonlinearSEM.Rd                                   |   13 
 sirt-3.1-80/sirt/man/rinvgamma2.Rd                                                 |   11 
 sirt-3.1-80/sirt/man/rm.facets.Rd                                                  |   17 
 sirt-3.1-80/sirt/man/rm.sdt.Rd                                                     |   17 
 sirt-3.1-80/sirt/man/sia.sirt.Rd                                                   |   14 
 sirt-3.1-80/sirt/man/sim.qm.ramsay.Rd                                              |   13 
 sirt-3.1-80/sirt/man/sim.rasch.dep.Rd                                              |   13 
 sirt-3.1-80/sirt/man/sim.raschtype.Rd                                              |   10 
 sirt-3.1-80/sirt/man/sirt-defunct.Rd                                               |    2 
 sirt-3.1-80/sirt/man/sirt-package.Rd                                               |   17 
 sirt-3.1-80/sirt/man/sirt-utilities.Rd                                             |  102 
 sirt-3.1-80/sirt/man/sirt_eigenvalues.Rd                                           |only
 sirt-3.1-80/sirt/man/smirt.Rd                                                      |   15 
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Package HelpersMG updated to version 3.5 with previous version 3.3 dated 2018-10-16

Title: Tools for Earth Meteorological Analysis
Description: Contains many functions useful for managing 'NetCDF' files (see <http://en.wikipedia.org/wiki/NetCDF>), get tide levels on any point of the globe, get moon phase and time for sun rise and fall, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.
Author: Marc Girondot
Maintainer: Marc Girondot <marc.girondot@u-psud.fr>

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Package greybox updated to version 0.4.0 with previous version 0.3.3 dated 2018-11-30

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package deldir updated to version 0.1-16 with previous version 0.1-15 dated 2018-04-01

Title: Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
Description: Calculates the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. Plots triangulations and tessellations in various ways. Clips tessellations to sub-windows. Calculates perimeters of tessellations. Summarises information about the tiles of the tessellation.
Author: Rolf Turner
Maintainer: Rolf Turner <r.turner@auckland.ac.nz>

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Package EMMIXgene updated to version 0.1.1 with previous version 0.1.0 dated 2018-04-03

Title: A Mixture Model-Based Approach to the Clustering of Microarray Expression Data
Description: Provides unsupervised selection and clustering of microarray data using mixture models. Following the methods described in McLachlan, Bean and Peel (2002) <doi:10.1093/bioinformatics/18.3.413> a subset of genes are selected based one the likelihood ratio statistic for the test of one versus two components when fitting mixtures of t-distributions to the expression data for each gene. The dimensionality of this gene subset is further reduced through the use of mixtures of factor analyzers, allowing the tissue samples to be clustered by fitting mixtures of normal distributions.
Author: Andrew Thomas Jones
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>

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Package childsds updated to version 0.7.0 with previous version 0.6.7 dated 2017-10-01

Title: Data and Methods Around Reference Values in Pediatrics
Description: Calculation of standard deviation scores and percentiles adduced from different growth standards (WHO, UK, Germany, Italy, China, etc). Therefore, the calculation of SDS-values for different measures like BMI, weight, height, head circumference, different ratios, etc. are easy to carry out. Also, references for laboratory values in children and adults are available, e.g., serum lipids, iron-related blood parameters, IGF, liver enzymes. In the new version, there are also functions combining the lms() function from package 'gamlss' with resampling methods for using with repeated measurements and family dependencies. A searchable list of items can be found here: <https://github.com/mvogel78/childsds/wiki>.
Author: Mandy Vogel [aut, cre]
Maintainer: Mandy Vogel <mandy.vogel@googlemail.com>

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Package vistime updated to version 0.7.0 with previous version 0.6.0 dated 2018-10-28

Title: Pretty Timeline Creation
Description: Create interactive timelines or Gantt charts that are usable in the 'RStudio' viewer pane, in 'R Markdown' documents and in 'Shiny' apps. Hover the mouse pointer over a point or task to show details or drag a rectangle to zoom in. Timelines and their components can afterwards be manipulated using 'plotly_build()', which transforms the plot into a mutable list.
Author: Sandro Raabe [aut, cre]
Maintainer: Sandro Raabe <shosaco_nospam@hotmail.com>

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Package plm updated to version 1.7-0 with previous version 1.6-6 dated 2017-11-07

Title: Linear Models for Panel Data
Description: A set of estimators and tests for panel data econometrics.
Author: Yves Croissant [aut, cre], Giovanni Millo [aut], Kevin Tappe [aut], Ott Toomet [ctb], Christian Kleiber [ctb], Achim Zeileis [ctb], Arne Henningsen [ctb], Liviu Andronic [ctb], Nina Schoenfelder [ctb]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>

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Package pheatmap updated to version 1.0.12 with previous version 1.0.10 dated 2018-05-19

Title: Pretty Heatmaps
Description: Implementation of heatmaps that offers more control over dimensions and appearance.
Author: Raivo Kolde
Maintainer: Raivo Kolde <rkolde@gmail.com>

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Package GSIF updated to version 0.5-5 with previous version 0.5-4 dated 2017-05-14

Title: Global Soil Information Facilities
Description: Global Soil Information Facilities - tools (standards and functions) and sample datasets for global soil mapping.
Author: Tomislav Hengl [cre, aut], Bas Kempen [ctb], Gerard Heuvelink [ctb], Brendan Malone [ctb]
Maintainer: Tomislav Hengl <tom.hengl@opengeohub.org>

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Package future.batchtools updated to version 0.7.2 with previous version 0.7.1 dated 2018-07-18

Title: A Future API for Parallel and Distributed Processing using 'batchtools'
Description: Implementation of the Future API on top of the 'batchtools' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- future.apply::future_lapply(files, FUN = process)'.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package dHSIC updated to version 2.1 with previous version 2.0 dated 2017-07-27

Title: Independence Testing via Hilbert Schmidt Independence Criterion
Description: Contains an implementation of the d-variable Hilbert Schmidt independence criterion and several hypothesis tests based on it, as described in Pfister et al. (2017) <doi:10.1111/rssb.12235>.
Author: Niklas Pfister and Jonas Peters
Maintainer: Niklas Pfister <pfister@stat.math.ethz.ch>

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Package crul updated to version 0.7.0 with previous version 0.6.0 dated 2018-07-10

Title: HTTP Client
Description: A simple HTTP client, with tools for making HTTP requests, and mocking HTTP requests. The package is built on R6, and takes inspiration from Ruby's 'faraday' gem (<https://rubygems.org/gems/faraday>). The package name is a play on curl, the widely used command line tool for HTTP, and this package is built on top of the R package 'curl', an interface to 'libcurl' (<https://curl.haxx.se/libcurl>).
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package rNOMADS updated to version 2.4.0 with previous version 2.3.10 dated 2018-07-18

Title: An R Interface to the NOAA Operational Model Archive and Distribution System
Description: An interface to the National Oceanic and Atmospheric Administration's Operational Model Archive and Distribution System (NOMADS, see <http://nomads.ncep.noaa.gov/> for more information) that allows R users to quickly and efficiently download global and regional weather model data for processing. rNOMADS currently supports a variety of models ranging from global weather data to an altitude of over 40 km, to high resolution regional weather models, to wave and sea ice models. It can also retrieve archived NOMADS models. rNOMADS can retrieve binary data in grib format as well as import ascii data directly into R by interfacing with the GrADS-DODS system.
Author: Daniel C. Bowman [aut, cre]
Maintainer: Daniel C. Bowman <danny.c.bowman@gmail.com>

Diff between rNOMADS versions 2.3.10 dated 2018-07-18 and 2.4.0 dated 2019-01-04

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Package protViz updated to version 0.4.0 with previous version 0.3.1 dated 2018-06-22

Title: Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
Description: Helps with quality checks, visualizations and analysis of mass spectrometry data, coming from proteomics experiments. The package is developed, tested and used at the Functional Genomics Center Zurich. We use this package mainly for prototyping, teaching, and having fun with proteomics data. But it can also be used to do data analysis for small scale data sets.
Author: Christian Panse [aut, cre] (<https://orcid.org/0000-0003-1975-3064>), Jonas Grossmann [aut] (<https://orcid.org/0000-0002-6899-9020>), Simon Barkow-Oesterreicher [ctb]
Maintainer: Christian Panse <cp@fgcz.ethz.ch>

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Package modesto updated to version 0.1.2 with previous version 0.1.1 dated 2018-11-09

Title: Modeling and Analysis of Stochastic Systems
Description: Compute important quantities when we consider stochastic systems that are observed continuously. Such as, Cost model, Limiting distribution, Transition matrix, Transition distribution and Occupancy matrix. The methods are described, for example, Ross S. (2014), Introduction to Probability Models. Eleven Edition. Academic Press.
Author: Carlos Alberto Cardozo Delgado
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

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Package ggsolvencyii updated to version 0.1.2 with previous version 0.1.1 dated 2018-11-19

Title: A 'ggplot2'-Plot of Composition of Solvency II SCR: SF and IM
Description: An implementation of 'ggplot2'-methods to present the composition of Solvency II Solvency Capital Requirement (SCR) as a series of concentric circle-parts. Solvency II (Solvency 2) is European insurance legislation, coming in force by the delegated acts of October 10, 2014. <https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ%3AL%3A2015%3A012%3ATOC>. Additional files, defining the structure of the Standard Formula (SF) method of the SCR-calculation are provided. The structure files can be adopted for localization or for insurance companies who use Internal Models (IM). Options are available for combining smaller components, horizontal and vertical scaling, rotation, and plotting only some circle-parts. With outlines and connectors several SCR-compositions can be compared, for example in ORSA-scenarios (Own Risk and Solvency Assessment).
Author: Marco van Zanden [aut, cre]
Maintainer: Marco van Zanden <git@vanzanden.nl>

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New package utc with initial version 0.1.5
Package: utc
Type: Package
Title: Coordinated Universal Time Transformations
Version: 0.1.5
Author: Antonio J. Segura
Maintainer: Antonio J. Segura <segura.antonioj@gmail.com>
Description: Three functions are provided: first function changes time from local to UTC, other changes from UTC to local and third returns difference between local and UTC. %h+% operator is also provided it adds hours to a time.
License: GPL-2
Encoding: UTF-8
LazyData: FALSE
Suggests: testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-01-02 06:05:11 UTC; AntoJo
Repository: CRAN
Date/Publication: 2019-01-04 10:50:03 UTC

More information about utc at CRAN
Permanent link

Package Stat2Data updated to version 2.0.0 with previous version 1.6 dated 2013-01-05

Title: Datasets for Stat2
Description: Datasets for the textbook Stat2: Modeling with Regression and ANOVA (second edition). The package also includes data for the first edition, Stat2: Building Models for a World of Data and a few functions for plotting diagnostics.
Author: Ann Cannon, George Cobb, Bradley Hartlaub, Julie Legler, Robin Lock, Thomas Moore, Allan Rossman, Jeffrey Witmer
Maintainer: Robin Lock <rlock@stlawu.edu>

Diff between Stat2Data versions 1.6 dated 2013-01-05 and 2.0.0 dated 2019-01-04

 Stat2Data-1.6/Stat2Data/data/InfantMortality.rda        |only
 Stat2Data-1.6/Stat2Data/data/LeafHoppers.rda            |only
 Stat2Data-1.6/Stat2Data/man/InfantMortality.Rd          |only
 Stat2Data-1.6/Stat2Data/man/LeafHoppers.Rd              |only
 Stat2Data-2.0.0/Stat2Data/DESCRIPTION                   |   26 
 Stat2Data-2.0.0/Stat2Data/MD5                           |  677 ++++++++++------
 Stat2Data-2.0.0/Stat2Data/NAMESPACE                     |   14 
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 Stat2Data-2.0.0/Stat2Data/data/AHCAvote2017.rda         |only
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 Stat2Data-2.0.0/Stat2Data/data/AthleteGrad.rda          |only
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 Stat2Data-2.0.0/Stat2Data/data/BaseballTimes.rda        |binary
 Stat2Data-2.0.0/Stat2Data/data/BaseballTimes2017.rda    |only
 Stat2Data-2.0.0/Stat2Data/data/BeeStings.rda            |binary
 Stat2Data-2.0.0/Stat2Data/data/BirdCalcium.rda          |only
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 Stat2Data-2.0.0/Stat2Data/data/Blood1.rda               |binary
 Stat2Data-2.0.0/Stat2Data/data/BlueJays.rda             |binary
 Stat2Data-2.0.0/Stat2Data/data/BrainpH.rda              |only
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 Stat2Data-2.0.0/Stat2Data/data/BritishUnions.rda        |binary
 Stat2Data-2.0.0/Stat2Data/data/ButterfliesBc.rda        |only
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 Stat2Data-2.0.0/Stat2Data/data/CO2Germany.rda           |only
 Stat2Data-2.0.0/Stat2Data/data/CO2Hawaii.rda            |only
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 Stat2Data-2.0.0/Stat2Data/data/CanadianDrugs.rda        |only
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 Stat2Data-2.0.0/Stat2Data/data/Caterpillars.rda         |binary
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 Stat2Data-2.0.0/Stat2Data/data/ChemoTHC.rda             |binary
 Stat2Data-2.0.0/Stat2Data/data/ChildSpeaks.rda          |binary
 Stat2Data-2.0.0/Stat2Data/data/ClintonSanders.rda       |only
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 Stat2Data-2.0.0/Stat2Data/data/CloudSeeding.rda         |binary
 Stat2Data-2.0.0/Stat2Data/data/CloudSeeding2.rda        |binary
 Stat2Data-2.0.0/Stat2Data/data/Contraceptives.rda       |only
 Stat2Data-2.0.0/Stat2Data/data/CountyHealth.rda         |only
 Stat2Data-2.0.0/Stat2Data/data/CrabShip.rda             |only
 Stat2Data-2.0.0/Stat2Data/data/CrackerFiber.rda         |binary
 Stat2Data-2.0.0/Stat2Data/data/CreditRisk.rda           |only
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 Stat2Data-2.0.0/Stat2Data/data/DiabeticDogs.rda         |only
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 Stat2Data-2.0.0/Stat2Data/data/Diamonds2.rda            |binary
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 Stat2Data-2.0.0/Stat2Data/data/Faces.rda                |only
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 Stat2Data-2.0.0/Stat2Data/data/FloridaDP.rda            |only
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 Stat2Data-2.0.0/Stat2Data/data/FranticFingers.rda       |only
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 Stat2Data-2.0.0/Stat2Data/data/FruitFlies2.rda          |only
 Stat2Data-2.0.0/Stat2Data/data/FunnelDrop.rda           |only
 Stat2Data-2.0.0/Stat2Data/data/GlowWorms.rda            |only
 Stat2Data-2.0.0/Stat2Data/data/Goldenrod.rda            |binary
 Stat2Data-2.0.0/Stat2Data/data/GrinnellHouses.rda       |only
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 Stat2Data-2.0.0/Stat2Data/data/Gunnels.rda              |binary
 Stat2Data-2.0.0/Stat2Data/data/Handwriting.rda          |only
 Stat2Data-2.0.0/Stat2Data/data/HawkTail.rda             |binary
 Stat2Data-2.0.0/Stat2Data/data/HawkTail2.rda            |binary
 Stat2Data-2.0.0/Stat2Data/data/Hawks.rda                |binary
 Stat2Data-2.0.0/Stat2Data/data/HearingTest.rda          |binary
 Stat2Data-2.0.0/Stat2Data/data/HeatingOil.rda           |only
 Stat2Data-2.0.0/Stat2Data/data/HighPeaks.rda            |binary
 Stat2Data-2.0.0/Stat2Data/data/Hoops.rda                |binary
 Stat2Data-2.0.0/Stat2Data/data/HorsePrices.rda          |binary
 Stat2Data-2.0.0/Stat2Data/data/Houses.rda               |binary
 Stat2Data-2.0.0/Stat2Data/data/HousesNY.rda             |only
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 Stat2Data-2.0.0/Stat2Data/data/IQGuessing.rda           |only
 Stat2Data-2.0.0/Stat2Data/data/InfantMortality2010.rda  |only
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 Stat2Data-2.0.0/Stat2Data/data/InsuranceVote.rda        |binary
 Stat2Data-2.0.0/Stat2Data/data/Jurors.rda               |binary
 Stat2Data-2.0.0/Stat2Data/data/Kershaw.rda              |only
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 Stat2Data-2.0.0/Stat2Data/data/LeafWidth.rda            |only
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 Stat2Data-2.0.0/Stat2Data/data/LongJumpOlympics2016.rda |only
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 Stat2Data-2.0.0/Stat2Data/data/MLB2007Standings.rda     |binary
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 Stat2Data-2.0.0/Stat2Data/data/MathPlacement.rda        |binary
 Stat2Data-2.0.0/Stat2Data/data/MedGPA.rda               |binary
 Stat2Data-2.0.0/Stat2Data/data/Meniscus.rda             |only
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 Stat2Data-2.0.0/Stat2Data/data/MetabolicRate.rda        |binary
 Stat2Data-2.0.0/Stat2Data/data/MetroCommutes.rda        |only
 Stat2Data-2.0.0/Stat2Data/data/MetroHealth83.rda        |binary
 Stat2Data-2.0.0/Stat2Data/data/Migraines.rda            |only
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 Stat2Data-2.0.0/Stat2Data/data/MothEggs.rda             |binary
 Stat2Data-2.0.0/Stat2Data/data/MouseBrain.rda           |only
 Stat2Data-2.0.0/Stat2Data/data/MusicTime.rda            |only
 Stat2Data-2.0.0/Stat2Data/data/NCbirths.rda             |binary
 Stat2Data-2.0.0/Stat2Data/data/NFL2007Standings.rda     |binary
 Stat2Data-2.0.0/Stat2Data/data/NFLStandings2016.rda     |only
 Stat2Data-2.0.0/Stat2Data/data/Nursing.rda              |binary
 Stat2Data-2.0.0/Stat2Data/data/OilDeapsorbtion.rda      |only
 Stat2Data-2.0.0/Stat2Data/data/Olives.rda               |binary
 Stat2Data-2.0.0/Stat2Data/data/Orings.rda               |binary
 Stat2Data-2.0.0/Stat2Data/data/Overdrawn.rda            |binary
 Stat2Data-2.0.0/Stat2Data/data/Oysters.rda              |only
 Stat2Data-2.0.0/Stat2Data/data/PKU.rda                  |only
 Stat2Data-2.0.0/Stat2Data/data/PalmBeach.rda            |binary
 Stat2Data-2.0.0/Stat2Data/data/PeaceBridge2003.rda      |only
 Stat2Data-2.0.0/Stat2Data/data/PeaceBridge2012.rda      |only
 Stat2Data-2.0.0/Stat2Data/data/Pedometer.rda            |binary
 Stat2Data-2.0.0/Stat2Data/data/Perch.rda                |binary
 Stat2Data-2.0.0/Stat2Data/data/PigFeed.rda              |binary
 Stat2Data-2.0.0/Stat2Data/data/Pines.rda                |binary
 Stat2Data-2.0.0/Stat2Data/data/Political.rda            |binary
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 Stat2Data-2.0.0/Stat2Data/data/PorscheJaguar.rda        |binary
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 Stat2Data-2.0.0/Stat2Data/data/Pulse.rda                |binary
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 Stat2Data-2.0.0/Stat2Data/data/Putts3.rda               |only
 Stat2Data-2.0.0/Stat2Data/data/RacialAnimus.rda         |only
 Stat2Data-2.0.0/Stat2Data/data/RadioactiveTwins.rda     |only
 Stat2Data-2.0.0/Stat2Data/data/RailsTrails.rda          |only
 Stat2Data-2.0.0/Stat2Data/data/Rectangles.rda           |only
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 Stat2Data-2.0.0/Stat2Data/data/RepeatedPulse.rda        |only
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 Stat2Data-2.0.0/Stat2Data/data/Ricci.rda                |only
 Stat2Data-2.0.0/Stat2Data/data/RiverElements.rda        |binary
 Stat2Data-2.0.0/Stat2Data/data/RiverIron.rda            |binary
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 Stat2Data-2.0.0/Stat2Data/data/SeaIce.rda               |only
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 Stat2Data-2.0.0/Stat2Data/data/SleepingShrews.rda       |only
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 Stat2Data-2.0.0/Stat2Data/data/SpeciesArea.rda          |binary
 Stat2Data-2.0.0/Stat2Data/data/Speed.rda                |binary
 Stat2Data-2.0.0/Stat2Data/data/SugarEthanol.rda         |only
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 Stat2Data-2.0.0/Stat2Data/data/TMS.rda                  |binary
 Stat2Data-2.0.0/Stat2Data/data/Tadpoles.rda             |only
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 Stat2Data-2.0.0/Stat2Data/data/Undoing.rda              |only
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 Stat2Data-2.0.0/Stat2Data/data/WeightLossIncentive.rda  |binary
 Stat2Data-2.0.0/Stat2Data/data/WeightLossIncentive4.rda |binary
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 Stat2Data-2.0.0/Stat2Data/data/Whickham2.rda            |only
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 Stat2Data-2.0.0/Stat2Data/data/WordsWithFriends.rda     |only
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 Stat2Data-2.0.0/Stat2Data/data/YouthRisk2009.rda        |binary
 Stat2Data-2.0.0/Stat2Data/data/Zimmerman.rda            |only
 Stat2Data-2.0.0/Stat2Data/man/AHCAvote2017.Rd           |only
 Stat2Data-2.0.0/Stat2Data/man/AccordPrice.Rd            |only
 Stat2Data-2.0.0/Stat2Data/man/Airlines.Rd               |only
 Stat2Data-2.0.0/Stat2Data/man/Alfalfa.Rd                |   13 
 Stat2Data-2.0.0/Stat2Data/man/AlitoConfirmation.Rd      |only
 Stat2Data-2.0.0/Stat2Data/man/Amyloid.Rd                |only
 Stat2Data-2.0.0/Stat2Data/man/AppleStock.Rd             |only
 Stat2Data-2.0.0/Stat2Data/man/ArcheryData.Rd            |    4 
 Stat2Data-2.0.0/Stat2Data/man/AthleteGrad.Rd            |only
 Stat2Data-2.0.0/Stat2Data/man/AudioVisual.Rd            |only
 Stat2Data-2.0.0/Stat2Data/man/AutoPollution.Rd          |    9 
 Stat2Data-2.0.0/Stat2Data/man/Backpack.Rd               |    9 
 Stat2Data-2.0.0/Stat2Data/man/BaseballTimes.Rd          |   11 
 Stat2Data-2.0.0/Stat2Data/man/BaseballTimes2017.Rd      |only
 Stat2Data-2.0.0/Stat2Data/man/BeeStings.Rd              |   17 
 Stat2Data-2.0.0/Stat2Data/man/BirdCalcium.Rd            |only
 Stat2Data-2.0.0/Stat2Data/man/BirdNest.Rd               |   11 
 Stat2Data-2.0.0/Stat2Data/man/Blood1.Rd                 |   11 
 Stat2Data-2.0.0/Stat2Data/man/BlueJays.Rd               |    7 
 Stat2Data-2.0.0/Stat2Data/man/BrainpH.Rd                |only
 Stat2Data-2.0.0/Stat2Data/man/BreesPass.Rd              |only
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 Stat2Data-2.0.0/Stat2Data/man/ButterfliesBc.Rd          |only
 Stat2Data-2.0.0/Stat2Data/man/CAFE.Rd                   |   17 
 Stat2Data-2.0.0/Stat2Data/man/CO2.Rd                    |   17 
 Stat2Data-2.0.0/Stat2Data/man/CO2Germany.Rd             |only
 Stat2Data-2.0.0/Stat2Data/man/CO2Hawaii.Rd              |only
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 Stat2Data-2.0.0/Stat2Data/man/CanadianDrugs.Rd          |only
 Stat2Data-2.0.0/Stat2Data/man/CancerSurvival.Rd         |    3 
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 Stat2Data-2.0.0/Stat2Data/man/CavsShooting.Rd           |only
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 Stat2Data-2.0.0/Stat2Data/man/ClintonSanders.Rd         |only
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 Stat2Data-2.0.0/Stat2Data/man/CreditRisk.Rd             |only
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 Stat2Data-2.0.0/Stat2Data/man/Election08.Rd             |   19 
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 Stat2Data-2.0.0/Stat2Data/man/ElephantsFB.Rd            |only
 Stat2Data-2.0.0/Stat2Data/man/ElephantsMF.Rd            |only
 Stat2Data-2.0.0/Stat2Data/man/Ethanol.Rd                |   16 
 Stat2Data-2.0.0/Stat2Data/man/Eyes.Rd                   |only
 Stat2Data-2.0.0/Stat2Data/man/FGByDistance.Rd           |   15 
 Stat2Data-2.0.0/Stat2Data/man/Faces.Rd                  |only
 Stat2Data-2.0.0/Stat2Data/man/FaithfulFaces.Rd          |only
 Stat2Data-2.0.0/Stat2Data/man/FantasyBaseball.Rd        |    9 
 Stat2Data-2.0.0/Stat2Data/man/FatRats.Rd                |only
 Stat2Data-2.0.0/Stat2Data/man/Fertility.Rd              |   13 
 Stat2Data-2.0.0/Stat2Data/man/Film.Rd                   |   11 
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Package SpatialVx updated to version 0.6-4 with previous version 0.6-3 dated 2018-07-04

Title: Spatial Forecast Verification
Description: Spatial forecast verification arose from verifying high-resolution forecasts, where coarser-resolution models generally are favored even when a human forecaster finds the higher-resolution model to be considerably better. Most newly proposed methods, which largely come from image analysis, computer vision, and similar, are available, with more on the way.
Author: Eric Gilleland <EricG@ucar.edu>
Maintainer: Eric Gilleland <EricG@ucar.edu>

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Package RQEntangle updated to version 0.1.3 with previous version 0.1.2 dated 2018-07-31

Title: Quantum Entanglement of Bipartite System
Description: It computes the Schmidt decomposition of bipartite quantum systems, discrete or continuous, and their respective entanglement metrics. See Artur Ekert, Peter L. Knight (1995) <doi:10.1119/1.17904> for more details.
Author: Kwan-Yuet Ho [aut, cre]
Maintainer: Kwan-Yuet Ho <stephenhky@yahoo.com.hk>

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Package Rpolyhedra updated to version 0.4.0 with previous version 0.3.0 dated 2018-11-30

Title: Polyhedra Database
Description: A polyhedra database scraped from various sources as R6 objects and 'rgl' visualizing capabilities.
Author: Alejandro Baranek [aut, com, cre, cph], Leonardo Belen [aut, com, cph]
Maintainer: Alejandro Baranek <abaranek@dc.uba.ar>

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Package RCzechia updated to version 1.3.2 with previous version 1.3.1 dated 2018-10-30

Title: Spatial Objects of the Czech Republic
Description: Administrative regions, rivers and water bodies of the Czech Republic.
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

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Package RcppEnsmallen updated to version 0.1.12.0.1 with previous version 0.1.11.1.1 dated 2018-11-30

Title: Header-Only C++ Mathematical Optimization Library for 'Armadillo'
Description: 'Ensmallen' is a templated C++ mathematical optimization library (by the 'MLPACK' team) that provides a simple set of abstractions for writing an objective function to optimize. Provided within are various standard and cutting-edge optimizers that include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. The 'RcppEnsmallen' package includes the header files from the 'Ensmallen' library and pairs the appropriate header files from 'armadillo' through the 'RcppArmadillo' package. Therefore, users do not need to install 'Ensmallen' nor 'Armadillo' to use 'RcppEnsmallen'. Note that 'Ensmallen' is licensed under 3-Clause BSD, 'Armadillo' starting from 7.800.0 is licensed under Apache License 2, 'RcppArmadillo' (the 'Rcpp' bindings/bridge to 'Armadillo') is licensed under the GNU GPL version 2 or later. Thus, 'RcppEnsmallen' is also licensed under similar terms. Note that 'Ensmallen' requires a compiler that supports 'C++11' and 'Armadillo' 6.500 or later.
Author: James Joseph Balamuta [aut, cre, cph] (<https://orcid.org/0000-0003-2826-8458>), Dirk Eddelbuettel [aut, cph] (<https://orcid.org/0000-0001-6419-907X>)
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>

Diff between RcppEnsmallen versions 0.1.11.1.1 dated 2018-11-30 and 0.1.12.0.1 dated 2019-01-04

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New package RcppDynProg with initial version 0.1.0
Package: RcppDynProg
Type: Package
Title: 'Rcpp' Dynamic Programming
Version: 0.1.0
Date: 2019-01-01
Authors@R: c( person("John", "Mount", email = "jmount@win-vector.com", role = c("aut", "cre")), person("Nina", "Zumel", email = "nzumel@win-vector.com", role = c("aut")), person(family = "Win-Vector LLC", role = c("cph")) )
URL: https://github.com/WinVector/RcppDynProg/, https://winvector.github.io/RcppDynProg/
BugReports: https://github.com/WinVector/RcppDynProg/issues
Maintainer: John Mount <jmount@win-vector.com>
Description: Dynamic Programming implemented in 'Rcpp'. Includes example partition and out of sample fitting applications. Also supplies additional custom coders for the 'vtreat' package.
License: GPL-3
Depends: R (>= 3.4.0)
Imports: wrapr (>= 1.8.0), Rcpp (>= 1.0.0), utils, stats
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-01-02 15:43:43 UTC; johnmount
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Repository: CRAN
Date/Publication: 2019-01-04 11:10:06 UTC

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New package rbin with initial version 0.1.1
Package: rbin
Type: Package
Title: Tools for Binning Data
Version: 0.1.1
Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"))
Description: Manually bin data using weight of evidence and information value. Includes other binning methods such as equal length, quantile and winsorized. Options for combining levels of categorical data are also available. Dummy variables can be generated based on the bins created using any of the available binning methods. References: Siddiqi, N. (2006) <doi:10.1002/9781119201731.biblio>.
License: MIT + file LICENSE
URL: https://github.com/rsquaredacademy/rbin, https://rbin.rsquaredacademy.com
BugReports: https://github.com/rsquaredacademy/rbin/issues
Depends: R (>= 3.3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: DescTools, dplyr, forcats, ggplot2, glue, graphics, magrittr, miniUI, purrr, recipes, rlang, rstudioapi, shiny, stats, tibble, utils
Suggests: covr, testthat, vdiffr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-03 05:38:36 UTC; HP
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-04 11:20:04 UTC

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New package jrt with initial version 1.0.0
Package: jrt
Title: Item Response Theory Modeling and Scoring for Judgment Data
Version: 1.0.0
Authors@R: person("Nils", "Myszkowski",email = "nilsmyszkowskiscience@gmail.com", role = c("aut", "cre"))
Description: Psychometric analysis and scoring of judgment data using polytomous Item-Response Theory (IRT) models, as described in Myszkowski and Storme (2018) <doi:10.17605/OSF.IO/9WC34>. A convenience function is used to automatically compare and select models, as well as to present a variety of model-based statistics. Plotting functions are used to present category curves, as well as information, reliability and standard error functions.
Depends: R (>= 3.5.0), directlabels (>= 2017.03.31)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: mirt (>= 1.29), psych (>= 1.8.3.3), irr (>= 0.84), methods, utils, stats, dplyr (>= 0.7.7), tidyr (>= 0.8.2), ggplot2 (>= 3.1.0), ggsci (>= 2.9)
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-03 03:52:31 UTC; nmyszkowski
Author: Nils Myszkowski [aut, cre]
Maintainer: Nils Myszkowski <nilsmyszkowskiscience@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-04 11:20:09 UTC

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Package future.BatchJobs updated to version 0.16.1 with previous version 0.16.0 dated 2018-07-10

Title: A Future API for Parallel and Distributed Processing using BatchJobs
Description: Implementation of the Future API on top of the 'BatchJobs' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- future.apply::future_lapply(files, FUN = process)'. NOTE: The 'BatchJobs' package is deprecated in favor of the 'batchtools' package. Because of this, it is recommended to use the 'future.batchtools' package instead of this package.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future.BatchJobs versions 0.16.0 dated 2018-07-10 and 0.16.1 dated 2019-01-04

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 vignettes/future.BatchJobs.md.rsp |    4 
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Package envnames updated to version 0.4.0 with previous version 0.3.0 dated 2018-07-22

Title: Track User-Defined Environment Names
Description: Set of functions to keep track of user-defined environment names (which cannot be retrieved with the built-in function environmentName()). The package also provides functionality to search for objects in environments, deal with function calling chains, and retrieve an object's memory address.
Author: Daniel Mastropietro
Maintainer: Daniel Mastropietro <mastropi@uwalumni.com>

Diff between envnames versions 0.3.0 dated 2018-07-22 and 0.4.0 dated 2019-01-04

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Package coxrt updated to version 1.0.1 with previous version 1.0.0 dated 2018-10-07

Title: Cox Proportional Hazards Regression for Right Truncated Data
Description: Fits Cox regression based on retrospectively ascertained times-to-event. The method uses Inverse-Probability-Weighting estimating equations.
Author: Bella Vakulenko-Lagun
Maintainer: Bella Vakulenko-Lagun <bella.vakulenko-lagun@mail.huji.ac.il>

Diff between coxrt versions 1.0.0 dated 2018-10-07 and 1.0.1 dated 2019-01-04

 DESCRIPTION                  |    8 ++++----
 MD5                          |   12 ++++++------
 inst/doc/coxrt-vignette.Rmd  |    2 +-
 inst/doc/coxrt-vignette.html |   10 +++++-----
 src/RT_IPW_functions.cpp     |    8 ++++----
 vignettes/coxrt-vignette.Rmd |    2 +-
 vignettes/references.bib     |    2 +-
 7 files changed, 22 insertions(+), 22 deletions(-)

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Package clinDR updated to version 1.9 with previous version 1.8 dated 2018-05-06

Title: Simulation and Analysis Tools for Clinical Dose Response Modeling
Description: Bayesian and ML Emax model fitting, graphics and simulation for clinical dose response. The summary data from the dose response meta-analyses in Thomas, Sweeney, and Somayaji (2014) <doi:10.1080/19466315.2014.924876> and Thomas and Roy (2016) <doi:10.1080/19466315.2016.1256229> are included in the package. The prior distributions for the Bayesian analyses default to the posterior predictive distributions derived from these references.
Author: Neal Thomas [aut, cre] (<https://orcid.org/0000-0002-1915-8487>), Jing Wu [aut]
Maintainer: Neal Thomas <snthomas99@gmail.com>

Diff between clinDR versions 1.8 dated 2018-05-06 and 1.9 dated 2019-01-04

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 clinDR-1.9/clinDR/DESCRIPTION                                                   |    8 
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 clinDR-1.9/clinDR/NAMESPACE                                                     |    4 
 clinDR-1.9/clinDR/R/Brextract.R                                                 |    2 
 clinDR-1.9/clinDR/R/FixedMean.R                                                 |    1 
 clinDR-1.9/clinDR/R/SeEmax.R                                                    |  222 ++--
 clinDR-1.9/clinDR/R/checkMonoEmax.R                                             |  137 +-
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 clinDR-1.9/clinDR/R/emaxsimB.R                                                  |    5 
 clinDR-1.9/clinDR/R/fitEmax.R                                                   |  354 ++++---
 clinDR-1.9/clinDR/R/fitEmaxB.R                                                  |  264 +++--
 clinDR-1.9/clinDR/R/generic.R                                                   |   16 
 clinDR-1.9/clinDR/R/nllogis.R                                                   |   70 -
 clinDR-1.9/clinDR/R/plot.fitEmax.R                                              |   15 
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 clinDR-1.9/clinDR/R/predict.fitEmaxB.R                                          |   37 
 clinDR-1.9/clinDR/R/print.emaxsim.R                                             |    2 
 clinDR-1.9/clinDR/R/print.emaxsimB.R                                            |    2 
 clinDR-1.9/clinDR/R/print.emaxsimobj.R                                          |    2 
 clinDR-1.9/clinDR/R/selEstan.R                                                  |   18 
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 clinDR-1.9/clinDR/R/startEmax.R                                                 |   38 
 clinDR-1.9/clinDR/R/summary.emaxsim.R                                           |   16 
 clinDR-1.9/clinDR/R/summary.emaxsimB.R                                          |   10 
 clinDR-1.9/clinDR/inst/NEWS                                                     |   11 
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 clinDR-1.9/clinDR/inst/tests/test.emaxsim.R                                     |    8 
 clinDR-1.9/clinDR/inst/tests/test.emaxsimB.R                                    |    4 
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 clinDR-1.9/clinDR/man/DRDensityPlot.Rd                                          |    2 
 clinDR-1.9/clinDR/man/RandEmax.Rd                                               |   16 
 clinDR-1.9/clinDR/man/SeEmax.Rd                                                 |   28 
 clinDR-1.9/clinDR/man/checkMonoEmax.Rd                                          |   16 
 clinDR-1.9/clinDR/man/clinDR-package.Rd                                         |    2 
 clinDR-1.9/clinDR/man/coef.Rd                                                   |    4 
 clinDR-1.9/clinDR/man/compileStanModels.Rd                                      |    7 
 clinDR-1.9/clinDR/man/emaxalt.Rd                                                |    2 
 clinDR-1.9/clinDR/man/emaxsim.Rd                                                |    4 
 clinDR-1.9/clinDR/man/emaxsimB.Rd                                               |   11 
 clinDR-1.9/clinDR/man/fitEmax.Rd                                                |   20 
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 clinDR-1.9/clinDR/man/mcmc.control.Rd                                           |    4 
 clinDR-1.9/clinDR/man/nllogis.Rd                                                |    6 
 clinDR-1.9/clinDR/man/plot.emaxsimBobj.Rd                                       |    6 
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 clinDR-1.9/clinDR/man/plotB.Rd                                                  |    9 
 clinDR-1.9/clinDR/man/plotD.Rd                                                  |    2 
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 clinDR-1.9/clinDR/man/sigma.Rd                                                  |    4 
 clinDR-1.9/clinDR/man/startEmax.Rd                                              |    2 
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 91 files changed, 2378 insertions(+), 891 deletions(-)

More information about clinDR at CRAN
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New package bwd with initial version 0.1.0
Package: bwd
Type: Package
Title: Backward Procedure for Change-Point Detection
Version: 0.1.0
Authors@R: c(person("Seung Jun", "Shin", email = "sjshin@korea.ac.kr", role = c("aut","cre")),person("Yichao", "Wu", email = "yichaowu@uic.edu", role = c("aut")),person("Ning", "Hao", email = "nhao@math.arizona.edu", role = c("aut")))
Maintainer: Seung Jun Shin <sjshin@korea.ac.kr>
Description: Implements a backward procedure for single and multiple change point detection proposed by Shin et al. <arXiv:1812.10107>. The backward approach is particularly useful to detect short and sparse signals which is common in copy number variation (CNV) detection.
License: GPL-2
Depends: R (>= 3.4.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-01-03 02:41:40 UTC; seungjunshin
Author: Seung Jun Shin [aut, cre], Yichao Wu [aut], Ning Hao [aut]
Repository: CRAN
Date/Publication: 2019-01-04 11:10:03 UTC

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Package bayesImageS updated to version 0.6-0 with previous version 0.5-3 dated 2018-08-30

Title: Bayesian Methods for Image Segmentation using a Potts Model
Description: Various algorithms for segmentation of 2D and 3D images, such as computed tomography and satellite remote sensing. This package implements Bayesian image analysis using the hidden Potts model with external field prior of Moores et al. (2015) <doi:10.1016/j.csda.2014.12.001>. Latent labels are sampled using chequerboard updating or Swendsen-Wang. Algorithms for the smoothing parameter include pseudolikelihood, path sampling, the exchange algorithm, approximate Bayesian computation (ABC-MCMC and ABC-SMC), and the parametric functional approximate Bayesian (PFAB) algorithm. Refer to <doi:10.1007/s11222-014-9525-6> and <doi:10.1214/18-BA1130> for further details.
Author: Matt Moores [aut, cre] (<https://orcid.org/0000-0003-4531-3572>), Kerrie Mengersen [aut, ths] (<https://orcid.org/0000-0001-8625-9168>), Dai Feng [ctb]
Maintainer: Matt Moores <mmoores@gmail.com>

Diff between bayesImageS versions 0.5-3 dated 2018-08-30 and 0.6-0 dated 2019-01-04

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New package parsetools with initial version 0.1.0
Package: parsetools
Type: Package
Title: Parse Tools
Version: 0.1.0
Authors@R: c( person("Andrew", "Redd", , "andrew.redd@hsc.utah.edu", c("aut", "cre")), person("R Consortium", role=c("cph", "fnd")) )
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>
License: GPL-2
Language: en-US
Imports: methods, tools, utils
Suggests: covr, knitr, rmarkdown, testthat
Description: Tools and utilities for dealing with parse data. Parse data represents the parse tree as data with location and type information. This package provides functions for navigating the parse tree as a data frame.
Collate: 'internal.R' 'accessors.R' 'checks.R' 'children.R' 'comments.R' 'errors.R' 'family.R' 'find-utils.R' 'firstborn.R' 'get_parse_data.R' 'grouping.R' 'iff_blocks.R' 'parent.R' 'pd_assign.R' 'pd_call.R' 'pd_make_is_in.R' 'pd_classes.R' 'pd_comments.R' 'pd_function.R' 'pd_identify.R' 'pd_if.R' 'reconstitute.R' 'root.R' 'siblings.R' 'tags.R' 'testing_blocks.R' 'zzz.R'
Encoding: UTF-8
RoxygenNote: 6.1.1
VignetteBuilder: knitr
KeepSource: yes
URL: https://github.com/RDocTaskForce/parsetools
BugReports: https://github.com/RDocTaskForce/parsetools/issues
NeedsCompilation: no
Packaged: 2019-01-03 00:44:02 UTC; u0092104
Author: Andrew Redd [aut, cre], R Consortium [cph, fnd]
Repository: CRAN
Date/Publication: 2019-01-04 11:00:02 UTC

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New package irg with initial version 0.1.0
Package: irg
Title: Instantaneous Rate of Green Up
Version: 0.1.0
Authors@R: person(given = "Alec L.", family = "Robitaille", role = c("aut", "cre"), email = "robit.alec@gmail.com", comment = c(ORCID = "0000-0002-4706-1762"))
Description: Fits a double logistic function to NDVI time series and calculates instantaneous rate of green (IRG) according to methods described in Bischoff et al. (2012) <doi:10.1086/667590>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: testthat, knitr, rmarkdown, DiagrammeR, ggplot2
Depends: R (>= 2.10)
Imports: data.table, RcppRoll, stats
VignetteBuilder: knitr
URL: http://irg.robitalec.ca/
BugReports: https://gitlab.com/robit.a/irg/issues
NeedsCompilation: no
Packaged: 2019-01-02 23:29:39 UTC; alecr
Author: Alec L. Robitaille [aut, cre] (<https://orcid.org/0000-0002-4706-1762>)
Maintainer: Alec L. Robitaille <robit.alec@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-04 10:50:09 UTC

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New package COST with initial version 0.1.0
Package: COST
Type: Package
Title: Copula-Based Semiparametric Models for Spatio-Temporal Data
Version: 0.1.0
Author: Yanlin Tang, Huixia Judy Wang
Maintainer: Yanlin Tang <yanlintang2018@163.com>
Description: Parameter estimation, one-step ahead forecast and new location prediction methods for spatio-temporal data.
Depends: copula,mvtnorm
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
ByteCompile: yes
NeedsCompilation: no
Packaged: 2019-01-02 23:52:41 UTC; tangyanlin
Repository: CRAN
Date/Publication: 2019-01-04 11:00:24 UTC

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New package cimir with initial version 0.1-0
Package: cimir
Title: Interface to the CIMIS Web API
Version: 0.1-0
Authors@R: person(given = "Michael", family = "Koohafkan", role = c("aut", "cre"), email = "michael.koohafkan@gmail.com")
Description: Connect to the California Irrigation Management Information System (CIMIS) Web API. See the CIMIS main page <https://cimis.water.ca.gov/> and web API documentation <http://et.water.ca.gov> for more information.
License: GPL (>= 3)
URL: https://github.com/mkoohafkan/cimir
BugReports: https://github.com/mkoohafkan/cimir/issues
Depends: R (>= 3.4)
Imports: RCurl (>= 1.95), glue (>= 1.3), readr (>= 1.1), stringr (>= 1.3), dplyr (>= 0.7), tidyr (>= 0.8), jsonlite (>= 1.5), purrr (>= 0.2), rlang (>= 0.3)
Encoding: UTF-8
LazyData: true
Suggests: knitr (>= 1.21), rmarkdown (>= 1.11)
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-02 19:35:10 UTC; mkoohafk
Author: Michael Koohafkan [aut, cre]
Maintainer: Michael Koohafkan <michael.koohafkan@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-04 10:50:13 UTC

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Package msgl updated to version 2.3.8 with previous version 2.3.7 dated 2018-10-24

Title: Multinomial Sparse Group Lasso
Description: Multinomial logistic regression with sparse group lasso penalty. Simultaneous feature selection and parameter estimation for classification. Suitable for high dimensional multiclass classification with many classes. The algorithm computes the sparse group lasso penalized maximum likelihood estimate. Use of parallel computing for cross validation and subsampling is supported through the 'foreach' and 'doParallel' packages. Development version is on GitHub, please report package issues on GitHub.
Author: Martin Vincent [aut], Niels Richard Hansen [ctb, cre]
Maintainer: Niels Richard Hansen <niels.r.hansen@math.ku.dk>

Diff between msgl versions 2.3.7 dated 2018-10-24 and 2.3.8 dated 2019-01-04

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Package DirectEffects updated to version 0.2 with previous version 0.1 dated 2018-02-26

Title: Estimating Controlled Direct Effects for Explaining Causal Findings
Description: A set of functions to estimate the controlled direct effect of treatment fixing a potential mediator to a specific value. Implements the sequential g-estimation estimator described in Vansteelandt (2009) <doi:10.1097/EDE.0b013e3181b6f4c9> and Acharya, Blackwell, and Sen (2016) <doi:10.1017/S0003055416000216>.
Author: Matthew Blackwell [aut, cre], Avidit Acharya [aut], Maya Sen [aut], Shiro Kuriwaki [aut], Jacob Brown [aut]
Maintainer: Matthew Blackwell <mblackwell@gov.harvard.edu>

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