Thu, 13 Apr 2017

Package wrapr updated to version 0.1.2 with previous version 0.1.1 dated 2017-03-14

Title: Wrap R Functions for Debugging and Ease of Use
Description: Provides 'DebugFnW()' to capture function context on error for debugging, and 'let()' which converts non-standard evaluation interfaces to standard evaluation interfaces. 'DebugFnW()' captures the calling function and arguments prior to the call causing the exception, while the classic 'options(error=dump.frames)' form captures at the moment of the exception itself (thus function arguments may not be at their starting values). 'let()' rebinds (possibly unbound) names to names.
Author: John Mount, Nina Zumel
Maintainer: John Mount <jmount@win-vector.com>

Diff between wrapr versions 0.1.1 dated 2017-03-14 and 0.1.2 dated 2017-04-13

 DESCRIPTION            |   13 +++-----
 MD5                    |   22 ++++++++------
 NAMESPACE              |    3 +
 NEWS.md                |    4 ++
 R/atblock.R            |only
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 inst/doc/DebugFnW.html |    6 +--
 inst/doc/let.Rmd       |    3 -
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 14 files changed, 98 insertions(+), 46 deletions(-)

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Package wrangle updated to version 0.4 with previous version 0.3 dated 2017-02-20

Title: A Systematic Data Wrangling Idiom
Description: Supports systematic scrutiny, modification, and integration of data. The function status() counts rows that have missing values in grouping columns (returned by na() ), have non-unique combinations of grouping columns (returned by dup() ), and that are not locally sorted (returned by unsorted() ). Functions enumerate() and itemize() give sorted unique combinations of columns, with or without occurrence counts, respectively. Function ignore() drops columns in x that are present in y, and informative() drops columns in x that are entirely NA. Data that have defined unique combinations of grouping values behave more predictably during merge operations.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between wrangle versions 0.3 dated 2017-02-20 and 0.4 dated 2017-04-13

 DESCRIPTION      |    8 ++++----
 MD5              |    6 +++---
 man/enumerate.Rd |    2 +-
 man/itemize.Rd   |    2 +-
 4 files changed, 9 insertions(+), 9 deletions(-)

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New package tubern with initial version 0.1.0
Package: tubern
Title: R Client for the YouTube Analytics and Reporting API
Version: 0.1.0
Authors@R: person("Gaurav", "Sood", email = "gsood07@gmail.com", role = c("aut", "cre"))
Maintainer: Gaurav Sood <gsood07@gmail.com>
Description: Get statistics and reports from YouTube. To learn more about the YouTube Analytics and Reporting API, see <https://developers.google.com/youtube/reporting/>.
URL: http://github.com/soodoku/tubern
BugReports: http://github.com/soodoku/tubern/issues
Depends: R (>= 3.2.0)
License: MIT + file LICENSE
LazyData: true
Imports: httr, jsonlite
VignetteBuilder: knitr
Suggests: knitr (>= 1.11), testthat, rmarkdown, xml2
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-13 22:33:45 UTC; gsood
Author: Gaurav Sood [aut, cre]
Repository: CRAN
Date/Publication: 2017-04-13 22:44:46 UTC

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Package spec updated to version 0.1.3 with previous version 0.1.1 dated 2017-03-12

Title: A Data Specification Format and Interface
Description: Creates a data specification that describes the columns of a table (data.frame). Provides methods to read, write, and update the specification. Checks whether a table matches its specification. See specification.data.frame(),read.spec(), write.spec(), as.csv.spec(), respecify.character(), and %matches%.data.frame().
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between spec versions 0.1.1 dated 2017-03-12 and 0.1.3 dated 2017-04-13

 DESCRIPTION                              |    6 +--
 MD5                                      |   11 +++---
 NAMESPACE                                |    1 
 R/spec.R                                 |   51 +++++++++++++++++++++++++++++--
 man/grapes-matches-grapes-.data.frame.Rd |    5 +--
 man/print.spec.Rd                        |only
 man/specification.data.frame.Rd          |   17 ++++++++++
 7 files changed, 79 insertions(+), 12 deletions(-)

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Package SGPdata updated to version 17.0-0.0 with previous version 16.0-0.0 dated 2017-03-15

Title: Exemplar Data Sets for SGP Analyses
Description: Data sets utilized by the SGP Package as exemplars for users to conduct their own SGP analyses.
Author: Damian W. Betebenner [aut, cre], Adam Van Iwaarden [aut], Ben Domingue [aut]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

Diff between SGPdata versions 16.0-0.0 dated 2017-03-15 and 17.0-0.0 dated 2017-04-13

 DESCRIPTION                        |    8 ++++----
 MD5                                |   16 ++++++++--------
 data/sgpData.rda                   |binary
 data/sgpData_INSTRUCTOR_NUMBER.rda |binary
 data/sgpData_LONG.rda              |binary
 inst/CITATION                      |    4 ++--
 inst/NEWS                          |    4 ++++
 man/SGPdata-package.Rd             |    4 ++--
 man/sgpData.Rd                     |    4 ++--
 9 files changed, 22 insertions(+), 18 deletions(-)

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Package ore updated to version 1.6.0 with previous version 1.5.0 dated 2016-09-09

Title: An R Interface to the Onigmo Regular Expression Library
Description: Provides an alternative to R's built-in functionality for handling regular expressions, based on the Onigmo library. Offers first-class compiled regex objects, partial matching and function-based substitutions, amongst other features.
Author: Jon Clayden, based on Onigmo by K. Kosako and K. Takata
Maintainer: Jon Clayden <code@clayden.org>

Diff between ore versions 1.5.0 dated 2016-09-09 and 1.6.0 dated 2017-04-13

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 ore-1.6.0/ore/NEWS                              |   15 
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 ore-1.6.0/ore/R/ore.R                           |    4 
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 ore-1.6.0/ore/README.md                         |    2 
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 ore-1.6.0/ore/src/onig/regerror.c               |   86 
 ore-1.6.0/ore/src/onig/regexec.c                | 1826 ++--
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 114 files changed, 20332 insertions(+), 11390 deletions(-)

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New package fold with initial version 0.1
Package: fold
Type: Package
Title: A Self-Describing Dataset Format and Interface
Version: 0.1
Date: 2017-04-13
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: Defines a compact data format that includes metadata. The function fold() creates the format by converting from data.frame, and unfold() converts back. The predictability of the folded format supports reusability of data processing tools, while the presence of embedded metadata improves portability, interpretability, and efficiency.
License: GPL-3
LazyData: TRUE
Imports: tidyr, dplyr, lazyeval, encode, csv
Suggests: magrittr, wrangle
Depends: R (>= 2.10)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-13 21:20:55 UTC; tbergsma
Repository: CRAN
Date/Publication: 2017-04-13 22:27:32 UTC

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Package fitbitScraper updated to version 0.1.8 with previous version 0.1.7 dated 2016-05-19

Title: Scrapes Data from Fitbit
Description: Scrapes data from Fitbit <http://www.fitbit.com>. This does not use the official API, but instead uses the API that the web dashboard uses to generate the graphs displayed on the dashboard after login at <http://www.fitbit.com>.
Author: Cory Nissen <corynissen@gmail.com> [aut, cre]
Maintainer: Cory Nissen <corynissen@gmail.com>

Diff between fitbitScraper versions 0.1.7 dated 2016-05-19 and 0.1.8 dated 2017-04-13

 DESCRIPTION                          |    8 ++++----
 MD5                                  |   30 +++++++++++++++---------------
 NEWS.md                              |    6 ++++++
 R/get_activity_data.R                |   13 +------------
 R/get_daily_data.R                   |   31 ++++++++++++++++++++++++-------
 R/login.R                            |    3 +--
 README.md                            |    9 ++++++---
 build/vignette.rds                   |binary
 inst/doc/fitbitScraper-examples.html |   13 ++++++-------
 man/get_activity_data.Rd             |   13 +------------
 man/get_daily_data.Rd                |    3 +--
 man/get_intraday_data.Rd             |    1 -
 man/get_premium_export.Rd            |    1 -
 man/get_sleep_data.Rd                |    1 -
 man/get_weight_data.Rd               |    1 -
 man/login.Rd                         |    1 -
 16 files changed, 65 insertions(+), 69 deletions(-)

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Package encode updated to version 0.3 with previous version 0.2 dated 2017-02-18

Title: Represent Ordered Lists and Pairs as Strings
Description: Interconverts between ordered lists and compact string notation. Useful for capturing code lists, and pair-wise codes and decodes, for text storage. Analogous to factor levels and labels. Generics encode() and decode() perform interconversion, while codes() and decodes() extract components of an encoding. The function encoded() checks whether something is interpretable as an encoding.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between encode versions 0.2 dated 2017-02-18 and 0.3 dated 2017-04-13

 DESCRIPTION |   14 +++++++-------
 MD5         |    2 +-
 2 files changed, 8 insertions(+), 8 deletions(-)

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New package spup with initial version 0.1-0
Package: spup
Type: Package
Title: Uncertainty Propagation Analysis
Version: 0.1-0
Date: 2017-04-06
Authors@R: c(person("Kasia", "Sawicka", email = "kasia.sawicka@wur.nl", role = c("aut", "cre")), person("Gerard", "Heuvelink", email = "gerard.heuvelink@wur.nl", role = c("aut")), person("Dennis", "Walvoort", email = "dennis.walvoort@wur.nl", role = c("ctb")), person("Stefan", "van Dam", email = "stefan.vandam@wur.nl", role = c("ctb")) )
Description: Uncertainty propagation analysis in spatial environmental modelling following methodology described in Heuvelink et al. (2017) <doi:10.1080/13658810601063951> and Brown and Heuvelink (2007) <doi:10.1016/j.cageo.2006.06.015>. The package provides functions for examining the uncertainty propagation starting from input data and model parameters, via the environmental model onto model outputs. The functions include uncertainty model specification, stochastic simulation and propagation of uncertainty using Monte Carlo (MC) techniques. Uncertain variables are described by probability distributions. Both numerical and categorical data types are handled. Spatial auto-correlation within an attribute and cross-correlation between attributes is accommodated for. The MC realizations may be used as input to the environmental models called from R, or externally.
Depends: R (>= 3.3.3)
Imports: graphics, gstat, magrittr, methods, mvtnorm, purrr, raster, whisker
Suggests: dplyr, GGally, gridExtra, knitr, readr, sp
License: GPL (>= 3)
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-04-13 09:33:20 UTC; sawic002
Author: Kasia Sawicka [aut, cre], Gerard Heuvelink [aut], Dennis Walvoort [ctb], Stefan van Dam [ctb]
Maintainer: Kasia Sawicka <kasia.sawicka@wur.nl>
Repository: CRAN
Date/Publication: 2017-04-13 21:21:06 UTC

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New package SeerMapper2010Regs with initial version 1.2.0
Package: SeerMapper2010Regs
Type: Package
Version: 1.2.0
Date: 2017-04-13
Title: Supplemental U. S. 2010 Census Tract Boundaries for 15 States with Seer Registries for 'SeerMapper'
Author: "Jim Pearson" <jpearson@statnetconsulting.com> with data provided by "U. S. Census Bureau" <geo.tiger@census.gov>
Maintainer: "Jim Pearson" <jpearson@statnetconsulting.com>
Depends: R (>= 3.2.0)
Imports: sp
Suggests:
Description: Provides supplemental 2010 census tract boundaries of the 15 states containing Seer Registries for use with the 'SeerMapper' package. The data contained in this package is derived from U. S. 2010 Census data and is in public domain.
License: GPL (>= 2)
LazyData: no
LazyLoad: no
BuildResaveData: yes
ByteCompile: yes
NeedsCompilation: no
Packaged: 2017-04-13 00:28:07 UTC; jpearson
Repository: CRAN
Date/Publication: 2017-04-13 21:27:26 UTC

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Package RandomFieldsUtils updated to version 0.3.23 with previous version 0.3.21 dated 2017-04-06

Title: Utilities for the Simulation and Analysis of Random Fields
Description: Various utilities are provided that might be used in spatial statistics and elsewhere. It delivers a method for solving linear equations that checks the sparsity of the matrix before any algorithm is used. Furthermore, it includes the Struve functions.
Author: Martin Schlather [aut, cre], Reinhard Furrer [ctb], Martin Kroll [ctb]
Maintainer: Martin Schlather <schlather@math.uni-mannheim.de>

Diff between RandomFieldsUtils versions 0.3.21 dated 2017-04-06 and 0.3.23 dated 2017-04-13

 DESCRIPTION                  |    8 ++++----
 MD5                          |   16 ++++++++--------
 R/zzz.R                      |    2 +-
 inst/include/Basic_utils.h   |    2 +-
 src/Basic_utils.h            |    2 +-
 src/init_RandomFieldsUtils.c |    2 +-
 src/maths.cc                 |    5 +++++
 src/scalar.cc                |    3 ++-
 src/solve.cc                 |    7 ++++++-
 9 files changed, 29 insertions(+), 18 deletions(-)

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Package rags2ridges updated to version 2.2 with previous version 2.1.1 dated 2016-08-18

Title: Ridge Estimation of Precision Matrices from High-Dimensional Data
Description: Proper L2-penalized ML estimators for the precision matrix as well as supporting functions to employ these estimators in a graphical modeling setting.
Author: Carel F.W. Peeters [cre, aut], Anders Ellern Bilgrau [aut], Wessel N. van Wieringen [aut]
Maintainer: Carel F.W. Peeters <cf.peeters@vumc.nl>

Diff between rags2ridges versions 2.1.1 dated 2016-08-18 and 2.2 dated 2017-04-13

 DESCRIPTION                  |   11 
 MD5                          |   57 +
 NAMESPACE                    |   11 
 R/RcppExports.R              |   30 
 R/rags2ridges.R              | 1360 +++++++++++++++++++++++++------------------
 R/rags2ridgesDepr.R          |only
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 38 files changed, 1567 insertions(+), 728 deletions(-)

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New package PRIMME with initial version 2.1-0
Package: PRIMME
Type: Package
Title: Eigenvalues and Singular Values and Vectors from Large Matrices
Version: 2.1-0
Date: 2017-04-11
Authors@R: c(person("Eloy", "Romero", role=c("aut", "cre"), email="eloy@cs.wm.edu"), person("Andreas", "Stathopoulos", role="aut", email="andreas@cs.wm.edu"), person("College of William & Mary", role="cph"))
Maintainer: Eloy Romero <eloy@cs.wm.edu>
Description: R interface to PRIMME, a C library for computing a few eigenvalues and their corresponding eigenvectors of a real symmetric or complex Hermitian matrix. It can also compute singular values and vectors of a square or rectangular matrix. It can find largest, smallest, or interior singular/eigenvalues and can use preconditioning to accelerate convergence.
URL: https://github.com/primme/primme
BugReports: https://github.com/primme/primme/issues
Imports: Rcpp
LinkingTo: Rcpp, Matrix
Suggests: Matrix
SystemRequirements: A POSIX system. Currently Linux and OS X are known to work. GNU make.
NeedsCompilation: yes
License: GPL-3
Encoding: UTF-8
RoxygenNote: 6.0.1
Packaged: 2017-04-13 13:53:08 UTC; eloy
Author: Eloy Romero [aut, cre], Andreas Stathopoulos [aut], College of William & Mary [cph]
Repository: CRAN
Date/Publication: 2017-04-13 21:32:02 UTC

More information about PRIMME at CRAN
Permanent link

New package phantom with initial version 0.1.0
Package: phantom
Title: Gene Set Pareto Heterogeneity Analysis of Time-Course Gene Expression Data
Version: 0.1.0
Author: c(person("Jinghua","Gu",role = c("aut","cre"), email = "Jinghua.Gu@bswhealth.org"), person("Xuan","Wang"), role = "aut", email = "Xuan.Wang@bswhealth.org", person("Jinyan","Chan", role = c("aut","cre"),email = "Jinayn.Chan@bswhealth.org"), person("Nicole","Baldwin"), role = "aut",email = "Nicole.Baldwin@bswhealth.org", person("Jacob","Turner"), role = "aut",email = "Jacob.Turner@bswhealth.org")
Maintainer: Jinyan Chan <Jinyan.Chan@bswhealth.org>
Description: Pareto front based statistical tool for detecting heterogeneity in gene sets and biological modules from time-course data.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.1)
Imports: Rcpp (>= 0.12.3), cluster (>= 1.15.3), NMF (>= 0.20.6), MASS (>= 7.3-35), Matrix (>= 1.1-4), RColorBrewer (>= 1.1-2), gplots (>= 2.16.0)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1.9000
NeedsCompilation: yes
Packaged: 2017-04-13 20:26:58 UTC; Mia
Repository: CRAN
Date/Publication: 2017-04-13 21:11:18 UTC

More information about phantom at CRAN
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Package httptest updated to version 1.3.0 with previous version 1.2.0 dated 2017-03-22

Title: A Test Environment for HTTP Requests
Description: Testing code and packages that communicate with remote servers can be painful. Dealing with authentication, bootstrapping server state, cleaning up objects that may get created during the test run, network flakiness, and other complications can make testing seem too costly to bother with. But it doesn't need to be that hard. This package enables one to test all of the logic on the R sides of the API in your package without requiring access to the remote service. Importantly, it provides three test contexts that mock the network connection in different ways, and it offers additional expectations to assert that HTTP requests were--or were not--made. Using these tools, one can test that code is making the intended requests and that it handles the expected responses correctly, all without depending on a connection to a remote API.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>

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Package afex updated to version 0.17-8 with previous version 0.16-1 dated 2016-04-03

Title: Analysis of Factorial Experiments
Description: Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed between-within (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3 sums of squares as default (imitating commercial statistical software).
Author: Henrik Singmann [aut, cre], Ben Bolker [aut], Jake Westfall [aut], Frederik Aust [aut], Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb], Jonathan Love [ctb]
Maintainer: Henrik Singmann <singmann+afex@gmail.com>

Diff between afex versions 0.16-1 dated 2016-04-03 and 0.17-8 dated 2017-04-13

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Package Tnseq updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-09

Title: Identification of Conditionally Essential Genes in Transposon Sequencing Studies
Description: Identification of conditionally essential genes using high-throughput sequencing data from transposon mutant libraries.
Author: Lili Zhao <zhaolili@umich.edu>
Maintainer: Lili Zhao <zhaolili@umich.edu>

Diff between Tnseq versions 0.1.1 dated 2017-02-09 and 0.1.2 dated 2017-04-13

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New package ordinalForest with initial version 1.0
Package: ordinalForest
Type: Package
Title: Ordinal Forests: Prediction and Class Width Inference with Ordinal Target Variables
Version: 1.0
Date: 2017-04-13
Author: Roman Hornung
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>
Imports: ranger, combinat, ggplot2
Description: Ordinal forests (OF) are a method for ordinal regression with high-dimensional and low-dimensional data that is able to predict the values of the ordinal target variable for new observations and at the same time estimate the relative widths of the classes of the ordinal target variable. Using a (permutation-based) variable importance measure it is moreover possible to rank the importances of the covariates. OF will be presented in an upcoming technical report by Hornung et al.. The main functions of the package are: ordfor() (construction of OF), predict.ordfor() (prediction of the target variable values of new observations), and plot.ordfor() (visualization of the estimated relative widths of the classes of the ordinal target variable).
License: GPL-2
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-04-13 15:51:15 UTC; hornung
Repository: CRAN
Date/Publication: 2017-04-13 21:00:25 UTC

More information about ordinalForest at CRAN
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Package nopaco updated to version 1.0.3 with previous version 0.99.9 dated 2017-03-19

Title: Non-Parametric Concordance Coefficient
Description: A non-parametric test for multi-observer concordance and differences between concordances in (un)balanced data.
Author: Rowan Kuiper [cre, aut], Remco Hoogenboezem [aut], Sjoerd Huisman [ctb], Pieter Sonneveld [ths], Mark van Duin [ths]
Maintainer: Rowan Kuiper <r.kuiper.emc@gmail.com>

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New package ldhmm with initial version 0.1.0
Package: ldhmm
Type: Package
Title: Hidden Markov Model for Return Time-Series Based on Lambda Distribution
Version: 0.1.0
Date: 2017-04-13
Authors@R: person(given = c("Stephen", "H-T."), family = "Lihn", email = "stevelihn@gmail.com", role = c("aut", "cre"))
Author: Stephen H-T. Lihn [aut, cre]
Maintainer: Stephen H-T. Lihn <stevelihn@gmail.com>
Description: Hidden Markov Model (HMM) based on symmetric lambda distribution framework is implemented for the study of return time-series in the financial market. Major features in the S&P500 index, such as regime identification, volatility clustering, and anti-correlation between return and volatility, can be extracted from HMM cleanly. Univariate symmetric lambda distribution is essentially a location-scale family of power-exponential distribution. Such distribution is suitable for describing highly leptokurtic time series obtained from the financial market. It provides a theoretically solid foundation to explore such data where the normal distribution is not adequate. The HMM implementation follows closely the book: "Hidden Markov Models for Time Series", by Zucchini, MacDonald, Langrock (2016).
Depends: R (>= 3.3.1)
Imports: stats, utils, ecd, xts, zoo, moments, parallel, graphics, methods
Suggests: knitr, testthat, depmixS4, roxygen2, scales, shape
License: Artistic-2.0
Encoding: latin1
LazyData: true
RoxygenNote: 5.0.1
Collate: 'ldhmm-calc_stats_from_obs.R' 'ldhmm-numericOrNull-class.R' 'ldhmm-package.R' 'ldhmm-class.R' 'ldhmm-conditional_prob.R' 'ldhmm-constructor.R' 'ldhmm-decoding.R' 'ldhmm-forecast_prob.R' 'ldhmm-forecast_state.R' 'ldhmm-ld_stats.R' 'ldhmm-log_forward.R' 'ldhmm-mle.R' 'ldhmm-mllk.R' 'ldhmm-n2w.R' 'ldhmm-pseudo_residuals.R' 'ldhmm-state_ld.R' 'ldhmm-state_pdf.R' 'ldhmm-ts_abs_acf.R' 'ldhmm-viterbi.R' 'ldhmm-w2n.R' 'ldhmm.ts_log_rtn.R'
NeedsCompilation: no
Packaged: 2017-04-13 17:41:57 UTC; slihn
Repository: CRAN
Date/Publication: 2017-04-13 20:54:51 UTC

More information about ldhmm at CRAN
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Package inctools updated to version 1.0.10 with previous version 1.0.7 dated 2016-09-13

Title: Incidence Estimation Tools
Description: Tools for estimating incidence from biomarker data in cross- sectional surveys, and for calibrating tests for recent infection. Implements and extends the method of Kassanjee et al. (2012) <doi:10.1097/EDE.0b013e3182576c07>.
Author: Alex Welte [aut], Eduard Grebe [cre, aut], Avery McIntosh [aut], Petra Bäumler [aut], Reshma Kassanjee [ctb], Hilmarie Brand [ctb], Cari Van Schalkwyk [ctb], Yuruo Li [ctb], Simon Daniel [ctb], Stefano Ongarello [aut], Yusuke Asai [ctb]
Maintainer: Eduard Grebe <eduardgrebe@sun.ac.za>

Diff between inctools versions 1.0.7 dated 2016-09-13 and 1.0.10 dated 2017-04-13

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New package fpest with initial version 0.1.1
Package: fpest
Type: Package
Title: Estimating Finite Population Total
Version: 0.1.1
Author: S.Sampath
Maintainer: S.Sampath <sampath1959@gmail.com>
Description: Given the values of sampled units and selection probabilities the desraj function in the package computes the estimated value of the total as well as estimated variance.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-13 08:18:50 UTC; UOM
Repository: CRAN
Date/Publication: 2017-04-13 21:00:27 UTC

More information about fpest at CRAN
Permanent link

Package RcppArmadillo updated to version 0.7.800.2.0 with previous version 0.7.700.0.0 dated 2017-02-08

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois and Doug Bates
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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 inst/include/armadillo_bits/SpMat_iterators_meat.hpp              |   22 
 inst/include/armadillo_bits/SpMat_meat.hpp                        |   20 
 inst/include/armadillo_bits/SpOp_bones.hpp                        |   18 
 inst/include/armadillo_bits/SpOp_meat.hpp                         |   18 
 inst/include/armadillo_bits/SpProxy.hpp                           |   19 
 inst/include/armadillo_bits/SpRow_bones.hpp                       |   20 
 inst/include/armadillo_bits/SpRow_meat.hpp                        |   20 
 inst/include/armadillo_bits/SpSubview_bones.hpp                   |   20 
 inst/include/armadillo_bits/SpSubview_iterators_meat.hpp          |   19 
 inst/include/armadillo_bits/SpSubview_meat.hpp                    |   20 
 inst/include/armadillo_bits/SpValProxy_bones.hpp                  |   21 
 inst/include/armadillo_bits/SpValProxy_meat.hpp                   |   19 
 inst/include/armadillo_bits/access.hpp                            |   18 
 inst/include/armadillo_bits/arma_cmath.hpp                        |   18 
 inst/include/armadillo_bits/arma_config.hpp                       |   18 
 inst/include/armadillo_bits/arma_forward.hpp                      |   18 
 inst/include/armadillo_bits/arma_ostream_bones.hpp                |   18 
 inst/include/armadillo_bits/arma_ostream_meat.hpp                 |   19 
 inst/include/armadillo_bits/arma_rng.hpp                          |   18 
 inst/include/armadillo_bits/arma_rng_cxx11.hpp                    |   18 
 inst/include/armadillo_bits/arma_rng_cxx98.hpp                    |   18 
 inst/include/armadillo_bits/arma_static_check.hpp                 |   18 
 inst/include/armadillo_bits/arma_str.hpp                          |   18 
 inst/include/armadillo_bits/arma_version.hpp                      |   24 
 inst/include/armadillo_bits/arrayops_bones.hpp                    |   18 
 inst/include/armadillo_bits/arrayops_meat.hpp                     |   27 
 inst/include/armadillo_bits/auxlib_bones.hpp                      |   20 
 inst/include/armadillo_bits/auxlib_meat.hpp                       |   23 
 inst/include/armadillo_bits/compiler_setup.hpp                    |   24 
 inst/include/armadillo_bits/compiler_setup_post.hpp               |   18 
 inst/include/armadillo_bits/cond_rel_bones.hpp                    |   18 
 inst/include/armadillo_bits/cond_rel_meat.hpp                     |   18 
 inst/include/armadillo_bits/config.hpp                            |   19 
 inst/include/armadillo_bits/config.hpp.cmake                      |   19 
 inst/include/armadillo_bits/constants.hpp                         |   18 
 inst/include/armadillo_bits/constants_old.hpp                     |   18 
 inst/include/armadillo_bits/debug.hpp                             |   19 
 inst/include/armadillo_bits/def_arpack.hpp                        |   20 
 inst/include/armadillo_bits/def_atlas.hpp                         |   18 
 inst/include/armadillo_bits/def_blas.hpp                          |   18 
 inst/include/armadillo_bits/def_hdf5.hpp                          |   18 
 inst/include/armadillo_bits/def_lapack.hpp                        |   20 
 inst/include/armadillo_bits/def_superlu.hpp                       |   21 
 inst/include/armadillo_bits/diagmat_proxy.hpp                     |   18 
 inst/include/armadillo_bits/diagview_bones.hpp                    |   18 
 inst/include/armadillo_bits/diagview_meat.hpp                     |   18 
 inst/include/armadillo_bits/diskio_bones.hpp                      |   21 
 inst/include/armadillo_bits/diskio_meat.hpp                       |   79 
 inst/include/armadillo_bits/distr_param.hpp                       |   18 
 inst/include/armadillo_bits/eGlueCube_bones.hpp                   |   18 
 inst/include/armadillo_bits/eGlueCube_meat.hpp                    |   18 
 inst/include/armadillo_bits/eGlue_bones.hpp                       |   18 
 inst/include/armadillo_bits/eGlue_meat.hpp                        |   18 
 inst/include/armadillo_bits/eOpCube_bones.hpp                     |   18 
 inst/include/armadillo_bits/eOpCube_meat.hpp                      |   24 
 inst/include/armadillo_bits/eOp_bones.hpp                         |   18 
 inst/include/armadillo_bits/eOp_meat.hpp                          |   23 
 inst/include/armadillo_bits/eglue_core_bones.hpp                  |   18 
 inst/include/armadillo_bits/eglue_core_meat.hpp                   |   18 
 inst/include/armadillo_bits/eop_aux.hpp                           |   18 
 inst/include/armadillo_bits/eop_core_bones.hpp                    |   18 
 inst/include/armadillo_bits/eop_core_meat.hpp                     |   18 
 inst/include/armadillo_bits/fft_engine.hpp                        |   56 
 inst/include/armadillo_bits/field_bones.hpp                       |   19 
 inst/include/armadillo_bits/field_meat.hpp                        |   19 
 inst/include/armadillo_bits/fn_accu.hpp                           |   19 
 inst/include/armadillo_bits/fn_all.hpp                            |   18 
 inst/include/armadillo_bits/fn_any.hpp                            |   18 
 inst/include/armadillo_bits/fn_approx_equal.hpp                   |   18 
 inst/include/armadillo_bits/fn_as_scalar.hpp                      |   18 
 inst/include/armadillo_bits/fn_chol.hpp                           |   18 
 inst/include/armadillo_bits/fn_clamp.hpp                          |   18 
 inst/include/armadillo_bits/fn_cond.hpp                           |   18 
 inst/include/armadillo_bits/fn_conv.hpp                           |   18 
 inst/include/armadillo_bits/fn_conv_to.hpp                        |   18 
 inst/include/armadillo_bits/fn_cor.hpp                            |   19 
 inst/include/armadillo_bits/fn_cov.hpp                            |   19 
 inst/include/armadillo_bits/fn_cross.hpp                          |   18 
 inst/include/armadillo_bits/fn_cumprod.hpp                        |   18 
 inst/include/armadillo_bits/fn_cumsum.hpp                         |   18 
 inst/include/armadillo_bits/fn_det.hpp                            |   18 
 inst/include/armadillo_bits/fn_diagmat.hpp                        |   18 
 inst/include/armadillo_bits/fn_diagvec.hpp                        |   18 
 inst/include/armadillo_bits/fn_diff.hpp                           |   18 
 inst/include/armadillo_bits/fn_dot.hpp                            |   19 
 inst/include/armadillo_bits/fn_eig_gen.hpp                        |   18 
 inst/include/armadillo_bits/fn_eig_pair.hpp                       |   18 
 inst/include/armadillo_bits/fn_eig_sym.hpp                        |   19 
 inst/include/armadillo_bits/fn_eigs_gen.hpp                       |   19 
 inst/include/armadillo_bits/fn_eigs_sym.hpp                       |   19 
 inst/include/armadillo_bits/fn_elem.hpp                           |   18 
 inst/include/armadillo_bits/fn_eps.hpp                            |   19 
 inst/include/armadillo_bits/fn_expmat.hpp                         |   18 
 inst/include/armadillo_bits/fn_eye.hpp                            |   18 
 inst/include/armadillo_bits/fn_fft.hpp                            |   18 
 inst/include/armadillo_bits/fn_fft2.hpp                           |   18 
 inst/include/armadillo_bits/fn_find.hpp                           |   18 
 inst/include/armadillo_bits/fn_find_unique.hpp                    |   18 
 inst/include/armadillo_bits/fn_flip.hpp                           |   18 
 inst/include/armadillo_bits/fn_hist.hpp                           |   18 
 inst/include/armadillo_bits/fn_histc.hpp                          |   18 
 inst/include/armadillo_bits/fn_index_max.hpp                      |   18 
 inst/include/armadillo_bits/fn_index_min.hpp                      |   18 
 inst/include/armadillo_bits/fn_inplace_strans.hpp                 |   19 
 inst/include/armadillo_bits/fn_inplace_trans.hpp                  |   18 
 inst/include/armadillo_bits/fn_interp1.hpp                        |   18 
 inst/include/armadillo_bits/fn_inv.hpp                            |   18 
 inst/include/armadillo_bits/fn_join.hpp                           |   18 
 inst/include/armadillo_bits/fn_kmeans.hpp                         |   18 
 inst/include/armadillo_bits/fn_kron.hpp                           |   19 
 inst/include/armadillo_bits/fn_log_det.hpp                        |   20 
 inst/include/armadillo_bits/fn_logmat.hpp                         |   18 
 inst/include/armadillo_bits/fn_lu.hpp                             |   18 
 inst/include/armadillo_bits/fn_max.hpp                            |   18 
 inst/include/armadillo_bits/fn_mean.hpp                           |   18 
 inst/include/armadillo_bits/fn_median.hpp                         |   18 
 inst/include/armadillo_bits/fn_min.hpp                            |   18 
 inst/include/armadillo_bits/fn_misc.hpp                           |   18 
 inst/include/armadillo_bits/fn_n_unique.hpp                       |   19 
 inst/include/armadillo_bits/fn_nonzeros.hpp                       |   18 
 inst/include/armadillo_bits/fn_norm.hpp                           |   18 
 inst/include/armadillo_bits/fn_normalise.hpp                      |   18 
 inst/include/armadillo_bits/fn_numel.hpp                          |   18 
 inst/include/armadillo_bits/fn_ones.hpp                           |   18 
 inst/include/armadillo_bits/fn_orth_null.hpp                      |   18 
 inst/include/armadillo_bits/fn_pinv.hpp                           |   19 
 inst/include/armadillo_bits/fn_polyfit.hpp                        |   18 
 inst/include/armadillo_bits/fn_polyval.hpp                        |   18 
 inst/include/armadillo_bits/fn_princomp.hpp                       |   19 
 inst/include/armadillo_bits/fn_prod.hpp                           |   18 
 inst/include/armadillo_bits/fn_qr.hpp                             |   18 
 inst/include/armadillo_bits/fn_qz.hpp                             |   19 
 inst/include/armadillo_bits/fn_randg.hpp                          |   18 
 inst/include/armadillo_bits/fn_randi.hpp                          |   18 
 inst/include/armadillo_bits/fn_randn.hpp                          |   18 
 inst/include/armadillo_bits/fn_randu.hpp                          |   18 
 inst/include/armadillo_bits/fn_range.hpp                          |   18 
 inst/include/armadillo_bits/fn_rank.hpp                           |   20 
 inst/include/armadillo_bits/fn_regspace.hpp                       |   18 
 inst/include/armadillo_bits/fn_repmat.hpp                         |   19 
 inst/include/armadillo_bits/fn_reshape.hpp                        |   18 
 inst/include/armadillo_bits/fn_resize.hpp                         |   18 
 inst/include/armadillo_bits/fn_schur.hpp                          |   18 
 inst/include/armadillo_bits/fn_shift.hpp                          |   18 
 inst/include/armadillo_bits/fn_shuffle.hpp                        |   19 
 inst/include/armadillo_bits/fn_size.hpp                           |   18 
 inst/include/armadillo_bits/fn_solve.hpp                          |   18 
 inst/include/armadillo_bits/fn_sort.hpp                           |   18 
 inst/include/armadillo_bits/fn_sort_index.hpp                     |   18 
 inst/include/armadillo_bits/fn_speye.hpp                          |   19 
 inst/include/armadillo_bits/fn_spones.hpp                         |   18 
 inst/include/armadillo_bits/fn_sprandn.hpp                        |   18 
 inst/include/armadillo_bits/fn_sprandu.hpp                        |   18 
 inst/include/armadillo_bits/fn_spsolve.hpp                        |   19 
 inst/include/armadillo_bits/fn_sqrtmat.hpp                        |   18 
 inst/include/armadillo_bits/fn_stddev.hpp                         |   18 
 inst/include/armadillo_bits/fn_strans.hpp                         |   18 
 inst/include/armadillo_bits/fn_sum.hpp                            |   18 
 inst/include/armadillo_bits/fn_svd.hpp                            |   18 
 inst/include/armadillo_bits/fn_svds.hpp                           |   18 
 inst/include/armadillo_bits/fn_syl_lyap.hpp                       |   18 
 inst/include/armadillo_bits/fn_symmat.hpp                         |   18 
 inst/include/armadillo_bits/fn_toeplitz.hpp                       |   18 
 inst/include/armadillo_bits/fn_trace.hpp                          |   19 
 inst/include/armadillo_bits/fn_trans.hpp                          |   18 
 inst/include/armadillo_bits/fn_trapz.hpp                          |   18 
 inst/include/armadillo_bits/fn_trig.hpp                           |   18 
 inst/include/armadillo_bits/fn_trimat.hpp                         |   18 
 inst/include/armadillo_bits/fn_trunc_exp.hpp                      |   18 
 inst/include/armadillo_bits/fn_trunc_log.hpp                      |   18 
 inst/include/armadillo_bits/fn_unique.hpp                         |   19 
 inst/include/armadillo_bits/fn_var.hpp                            |   18 
 inst/include/armadillo_bits/fn_vectorise.hpp                      |   18 
 inst/include/armadillo_bits/fn_zeros.hpp                          |   18 
 inst/include/armadillo_bits/glue_atan2_bones.hpp                  |   18 
 inst/include/armadillo_bits/glue_atan2_meat.hpp                   |   18 
 inst/include/armadillo_bits/glue_conv_bones.hpp                   |   18 
 inst/include/armadillo_bits/glue_conv_meat.hpp                    |   29 
 inst/include/armadillo_bits/glue_cor_bones.hpp                    |   19 
 inst/include/armadillo_bits/glue_cor_meat.hpp                     |   19 
 inst/include/armadillo_bits/glue_cov_bones.hpp                    |   19 
 inst/include/armadillo_bits/glue_cov_meat.hpp                     |   19 
 inst/include/armadillo_bits/glue_cross_bones.hpp                  |   18 
 inst/include/armadillo_bits/glue_cross_meat.hpp                   |   18 
 inst/include/armadillo_bits/glue_hist_bones.hpp                   |   18 
 inst/include/armadillo_bits/glue_hist_meat.hpp                    |   18 
 inst/include/armadillo_bits/glue_histc_bones.hpp                  |   18 
 inst/include/armadillo_bits/glue_histc_meat.hpp                   |   18 
 inst/include/armadillo_bits/glue_hypot_bones.hpp                  |   18 
 inst/include/armadillo_bits/glue_hypot_meat.hpp                   |   18 
 inst/include/armadillo_bits/glue_join_bones.hpp                   |   18 
 inst/include/armadillo_bits/glue_join_meat.hpp                    |   18 
 inst/include/armadillo_bits/glue_kron_bones.hpp                   |   19 
 inst/include/armadillo_bits/glue_kron_meat.hpp                    |   19 
 inst/include/armadillo_bits/glue_max_bones.hpp                    |   18 
 inst/include/armadillo_bits/glue_max_meat.hpp                     |   18 
 inst/include/armadillo_bits/glue_min_bones.hpp                    |   18 
 inst/include/armadillo_bits/glue_min_meat.hpp                     |   18 
 inst/include/armadillo_bits/glue_mixed_bones.hpp                  |   18 
 inst/include/armadillo_bits/glue_mixed_meat.hpp                   |   18 
 inst/include/armadillo_bits/glue_polyfit_bones.hpp                |   18 
 inst/include/armadillo_bits/glue_polyfit_meat.hpp                 |   18 
 inst/include/armadillo_bits/glue_polyval_bones.hpp                |   18 
 inst/include/armadillo_bits/glue_polyval_meat.hpp                 |   18 
 inst/include/armadillo_bits/glue_relational_bones.hpp             |   18 
 inst/include/armadillo_bits/glue_relational_meat.hpp              |   18 
 inst/include/armadillo_bits/glue_solve_bones.hpp                  |   18 
 inst/include/armadillo_bits/glue_solve_meat.hpp                   |   18 
 inst/include/armadillo_bits/glue_times_bones.hpp                  |   18 
 inst/include/armadillo_bits/glue_times_meat.hpp                   |   18 
 inst/include/armadillo_bits/glue_toeplitz_bones.hpp               |   18 
 inst/include/armadillo_bits/glue_toeplitz_meat.hpp                |   18 
 inst/include/armadillo_bits/glue_trapz_bones.hpp                  |   18 
 inst/include/armadillo_bits/glue_trapz_meat.hpp                   |   18 
 inst/include/armadillo_bits/gmm_diag_bones.hpp                    |   18 
 inst/include/armadillo_bits/gmm_diag_meat.hpp                     |   18 
 inst/include/armadillo_bits/gmm_misc_bones.hpp                    |   18 
 inst/include/armadillo_bits/gmm_misc_meat.hpp                     |   18 
 inst/include/armadillo_bits/hdf5_misc.hpp                         |   20 
 inst/include/armadillo_bits/include_atlas.hpp                     |   18 
 inst/include/armadillo_bits/include_hdf5.hpp                      |   18 
 inst/include/armadillo_bits/include_superlu.hpp                   |   32 
 inst/include/armadillo_bits/injector_bones.hpp                    |   18 
 inst/include/armadillo_bits/injector_meat.hpp                     |   18 
 inst/include/armadillo_bits/memory.hpp                            |   18 
 inst/include/armadillo_bits/mtGlueCube_bones.hpp                  |   18 
 inst/include/armadillo_bits/mtGlueCube_meat.hpp                   |   18 
 inst/include/armadillo_bits/mtGlue_bones.hpp                      |   18 
 inst/include/armadillo_bits/mtGlue_meat.hpp                       |   18 
 inst/include/armadillo_bits/mtOpCube_bones.hpp                    |   18 
 inst/include/armadillo_bits/mtOpCube_meat.hpp                     |   18 
 inst/include/armadillo_bits/mtOp_bones.hpp                        |   18 
 inst/include/armadillo_bits/mtOp_meat.hpp                         |   18 
 inst/include/armadillo_bits/mtSpOp_bones.hpp                      |   19 
 inst/include/armadillo_bits/mtSpOp_meat.hpp                       |   19 
 inst/include/armadillo_bits/mul_gemm.hpp                          |   18 
 inst/include/armadillo_bits/mul_gemm_mixed.hpp                    |   18 
 inst/include/armadillo_bits/mul_gemv.hpp                          |   18 
 inst/include/armadillo_bits/mul_herk.hpp                          |   18 
 inst/include/armadillo_bits/mul_syrk.hpp                          |   18 
 inst/include/armadillo_bits/newarp_DenseGenMatProd_bones.hpp      |   22 
 inst/include/armadillo_bits/newarp_DenseGenMatProd_meat.hpp       |   22 
 inst/include/armadillo_bits/newarp_DoubleShiftQR_bones.hpp        |   22 
 inst/include/armadillo_bits/newarp_DoubleShiftQR_meat.hpp         |   22 
 inst/include/armadillo_bits/newarp_EigsSelect.hpp                 |   22 
 inst/include/armadillo_bits/newarp_GenEigsSolver_bones.hpp        |   22 
 inst/include/armadillo_bits/newarp_GenEigsSolver_meat.hpp         |   23 
 inst/include/armadillo_bits/newarp_SortEigenvalue.hpp             |   22 
 inst/include/armadillo_bits/newarp_SparseGenMatProd_bones.hpp     |   22 
 inst/include/armadillo_bits/newarp_SparseGenMatProd_meat.hpp      |   22 
 inst/include/armadillo_bits/newarp_SymEigsSolver_bones.hpp        |   22 
 inst/include/armadillo_bits/newarp_SymEigsSolver_meat.hpp         |   23 
 inst/include/armadillo_bits/newarp_TridiagEigen_bones.hpp         |   22 
 inst/include/armadillo_bits/newarp_TridiagEigen_meat.hpp          |   23 
 inst/include/armadillo_bits/newarp_UpperHessenbergEigen_bones.hpp |   22 
 inst/include/armadillo_bits/newarp_UpperHessenbergEigen_meat.hpp  |   23 
 inst/include/armadillo_bits/newarp_UpperHessenbergQR_bones.hpp    |   22 
 inst/include/armadillo_bits/newarp_UpperHessenbergQR_meat.hpp     |   22 
 inst/include/armadillo_bits/newarp_cx_attrib.hpp                  |   22 
 inst/include/armadillo_bits/op_all_bones.hpp                      |   18 
 inst/include/armadillo_bits/op_all_meat.hpp                       |   18 
 inst/include/armadillo_bits/op_any_bones.hpp                      |   18 
 inst/include/armadillo_bits/op_any_meat.hpp                       |   18 
 inst/include/armadillo_bits/op_chol_bones.hpp                     |   18 
 inst/include/armadillo_bits/op_chol_meat.hpp                      |   18 
 inst/include/armadillo_bits/op_clamp_bones.hpp                    |   18 
 inst/include/armadillo_bits/op_clamp_meat.hpp                     |   18 
 inst/include/armadillo_bits/op_cor_bones.hpp                      |   19 
 inst/include/armadillo_bits/op_cor_meat.hpp                       |   19 
 inst/include/armadillo_bits/op_cov_bones.hpp                      |   19 
 inst/include/armadillo_bits/op_cov_meat.hpp                       |   19 
 inst/include/armadillo_bits/op_cumprod_bones.hpp                  |   18 
 inst/include/armadillo_bits/op_cumprod_meat.hpp                   |   18 
 inst/include/armadillo_bits/op_cumsum_bones.hpp                   |   18 
 inst/include/armadillo_bits/op_cumsum_meat.hpp                    |   18 
 inst/include/armadillo_bits/op_cx_scalar_bones.hpp                |   18 
 inst/include/armadillo_bits/op_cx_scalar_meat.hpp                 |   18 
 inst/include/armadillo_bits/op_diagmat_bones.hpp                  |   18 
 inst/include/armadillo_bits/op_diagmat_meat.hpp                   |   18 
 inst/include/armadillo_bits/op_diagvec_bones.hpp                  |   18 
 inst/include/armadillo_bits/op_diagvec_meat.hpp                   |   18 
 inst/include/armadillo_bits/op_diff_bones.hpp                     |   18 
 inst/include/armadillo_bits/op_diff_meat.hpp                      |   18 
 inst/include/armadillo_bits/op_dot_bones.hpp                      |   18 
 inst/include/armadillo_bits/op_dot_meat.hpp                       |   18 
 inst/include/armadillo_bits/op_dotext_bones.hpp                   |   18 
 inst/include/armadillo_bits/op_dotext_meat.hpp                    |   18 
 inst/include/armadillo_bits/op_expmat_bones.hpp                   |   18 
 inst/include/armadillo_bits/op_expmat_meat.hpp                    |   18 
 inst/include/armadillo_bits/op_fft_bones.hpp                      |   18 
 inst/include/armadillo_bits/op_fft_meat.hpp                       |   18 
 inst/include/armadillo_bits/op_find_bones.hpp                     |   19 
 inst/include/armadillo_bits/op_find_meat.hpp                      |   19 
 inst/include/armadillo_bits/op_find_unique_bones.hpp              |   18 
 inst/include/armadillo_bits/op_find_unique_meat.hpp               |   18 
 inst/include/armadillo_bits/op_flip_bones.hpp                     |   18 
 inst/include/armadillo_bits/op_flip_meat.hpp                      |   18 
 inst/include/armadillo_bits/op_hist_bones.hpp                     |   18 
 inst/include/armadillo_bits/op_hist_meat.hpp                      |   18 
 inst/include/armadillo_bits/op_htrans_bones.hpp                   |   18 
 inst/include/armadillo_bits/op_htrans_meat.hpp                    |   19 
 inst/include/armadillo_bits/op_index_max_bones.hpp                |   18 
 inst/include/armadillo_bits/op_index_max_meat.hpp                 |   18 
 inst/include/armadillo_bits/op_index_min_bones.hpp                |   18 
 inst/include/armadillo_bits/op_index_min_meat.hpp                 |   18 
 inst/include/armadillo_bits/op_inv_bones.hpp                      |   18 
 inst/include/armadillo_bits/op_inv_meat.hpp                       |   18 
 inst/include/armadillo_bits/op_logmat_bones.hpp                   |   18 
 inst/include/armadillo_bits/op_logmat_meat.hpp                    |   18 
 inst/include/armadillo_bits/op_max_bones.hpp                      |   18 
 inst/include/armadillo_bits/op_max_meat.hpp                       |   18 
 inst/include/armadillo_bits/op_mean_bones.hpp                     |   18 
 inst/include/armadillo_bits/op_mean_meat.hpp                      |   18 
 inst/include/armadillo_bits/op_median_bones.hpp                   |   18 
 inst/include/armadillo_bits/op_median_meat.hpp                    |   18 
 inst/include/armadillo_bits/op_min_bones.hpp                      |   18 
 inst/include/armadillo_bits/op_min_meat.hpp                       |   18 
 inst/include/armadillo_bits/op_misc_bones.hpp                     |   18 
 inst/include/armadillo_bits/op_misc_meat.hpp                      |   18 
 inst/include/armadillo_bits/op_nonzeros_bones.hpp                 |   18 
 inst/include/armadillo_bits/op_nonzeros_meat.hpp                  |   18 
 inst/include/armadillo_bits/op_norm_bones.hpp                     |   18 
 inst/include/armadillo_bits/op_norm_meat.hpp                      |   18 
 inst/include/armadillo_bits/op_normalise_bones.hpp                |   18 
 inst/include/armadillo_bits/op_normalise_meat.hpp                 |   18 
 inst/include/armadillo_bits/op_orth_null_bones.hpp                |   18 
 inst/include/armadillo_bits/op_orth_null_meat.hpp                 |   18 
 inst/include/armadillo_bits/op_pinv_bones.hpp                     |   19 
 inst/include/armadillo_bits/op_pinv_meat.hpp                      |   20 
 inst/include/armadillo_bits/op_princomp_bones.hpp                 |   19 
 inst/include/armadillo_bits/op_princomp_meat.hpp                  |   20 
 inst/include/armadillo_bits/op_prod_bones.hpp                     |   18 
 inst/include/armadillo_bits/op_prod_meat.hpp                      |   18 
 inst/include/armadillo_bits/op_range_bones.hpp                    |   18 
 inst/include/armadillo_bits/op_range_meat.hpp                     |   18 
 inst/include/armadillo_bits/op_relational_bones.hpp               |   18 
 inst/include/armadillo_bits/op_relational_meat.hpp                |   18 
 inst/include/armadillo_bits/op_repmat_bones.hpp                   |   19 
 inst/include/armadillo_bits/op_repmat_meat.hpp                    |   19 
 inst/include/armadillo_bits/op_reshape_bones.hpp                  |   18 
 inst/include/armadillo_bits/op_reshape_meat.hpp                   |   18 
 inst/include/armadillo_bits/op_resize_bones.hpp                   |   18 
 inst/include/armadillo_bits/op_resize_meat.hpp                    |   18 
 inst/include/armadillo_bits/op_shift_bones.hpp                    |   18 
 inst/include/armadillo_bits/op_shift_meat.hpp                     |   18 
 inst/include/armadillo_bits/op_shuffle_bones.hpp                  |   19 
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 inst/include/armadillo_bits/op_sort_bones.hpp                     |   18 
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 inst/include/armadillo_bits/op_sqrtmat_meat.hpp                   |   18 
 inst/include/armadillo_bits/op_stddev_bones.hpp                   |   18 
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 inst/include/armadillo_bits/op_unique_bones.hpp                   |   19 
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 inst/include/armadillo_bits/operator_cube_minus.hpp               |   18 
 inst/include/armadillo_bits/operator_cube_plus.hpp                |   18 
 inst/include/armadillo_bits/operator_cube_relational.hpp          |   18 
 inst/include/armadillo_bits/operator_cube_schur.hpp               |   18 
 inst/include/armadillo_bits/operator_cube_times.hpp               |   18 
 inst/include/armadillo_bits/operator_div.hpp                      |   19 
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 inst/include/armadillo_bits/operator_relational.hpp               |   18 
 inst/include/armadillo_bits/operator_schur.hpp                    |   19 
 inst/include/armadillo_bits/operator_times.hpp                    |   19 
 inst/include/armadillo_bits/podarray_bones.hpp                    |   18 
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 inst/include/armadillo_bits/promote_type.hpp                      |   19 
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 inst/include/armadillo_bits/running_stat_bones.hpp                |   18 
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 inst/include/armadillo_bits/running_stat_vec_bones.hpp            |   18 
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 inst/include/armadillo_bits/sp_auxlib_bones.hpp                   |   21 
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 inst/include/armadillo_bits/span.hpp                              |   19 
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 inst/include/armadillo_bits/spglue_join_bones.hpp                 |   18 
 inst/include/armadillo_bits/spglue_join_meat.hpp                  |   18 
 inst/include/armadillo_bits/spglue_minus_bones.hpp                |   18 
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 inst/include/armadillo_bits/spop_diagmat_bones.hpp                |   18 
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 inst/include/armadillo_bits/spop_max_bones.hpp                    |   19 
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 inst/include/armadillo_bits/spop_mean_bones.hpp                   |   21 
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 inst/include/armadillo_bits/spop_min_bones.hpp                    |   19 
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 inst/include/armadillo_bits/spop_misc_bones.hpp                   |   18 
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 inst/include/armadillo_bits/spop_var_bones.hpp                    |   19 
 inst/include/armadillo_bits/spop_var_meat.hpp                     |   19 
 inst/include/armadillo_bits/strip.hpp                             |   18 
 inst/include/armadillo_bits/subview_bones.hpp                     |   19 
 inst/include/armadillo_bits/subview_cube_bones.hpp                |   18 
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 inst/include/armadillo_bits/subview_cube_each_meat.hpp            |   18 
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 inst/include/armadillo_bits/subview_each_bones.hpp                |   18 
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 inst/include/armadillo_bits/subview_elem1_bones.hpp               |   18 
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 inst/include/armadillo_bits/subview_elem2_bones.hpp               |   18 
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 inst/include/armadillo_bits/subview_field_bones.hpp               |   18 
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 inst/include/armadillo_bits/subview_meat.hpp                      |   20 
 inst/include/armadillo_bits/traits.hpp                            |   18 
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 inst/include/armadillo_bits/typedef_elem_check.hpp                |   18 
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 inst/include/armadillo_bits/unwrap.hpp                            |   18 
 inst/include/armadillo_bits/unwrap_cube.hpp                       |   18 
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 inst/include/armadillo_bits/upgrade_val.hpp                       |   18 
 inst/include/armadillo_bits/wall_clock_bones.hpp                  |   18 
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 src/fastLm.cpp                                                    |   10 
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Permanent link

Package OTUtable updated to version 1.1.0 with previous version 1.0.0 dated 2016-03-17

Title: North Temperate Lakes - Microbial Observatory 16S Time Series Data and Functions
Description: Analyses of OTU tables produced by 16S sequencing, as well as example data. It contains the data and scripts used in the paper Linz, et al. (2017) "Bacterial community composition and dynamics spanning five years in freshwater bog lakes" (Manuscript submitted, preprint available at <http://biorxiv.org/content/early/2017/04/12/127035>).
Author: Alexandra Linz
Maintainer: Alexandra Linz <amlinz16@gmail.com>

Diff between OTUtable versions 1.0.0 dated 2016-03-17 and 1.1.0 dated 2017-04-13

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More information about OTUtable at CRAN
Permanent link

Package itcSegment updated to version 0.4 with previous version 0.2 dated 2016-05-16

Title: Individual Tree Crowns Segmentation
Description: Three methods for Individual Tree Crowns (ITCs) delineation on remote sensing data: one is based on LiDAR data in x,y,z format and one on imagery data in raster format.
Author: Michele Dalponte
Maintainer: Michele Dalponte <michele.dalponte@fmach.it>

Diff between itcSegment versions 0.2 dated 2016-05-16 and 0.4 dated 2017-04-13

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Permanent link

Package xxIRT updated to version 2.0.1 with previous version 2.0.0 dated 2017-01-10

Title: Practical Item Response Theory and Computer-Based Testing in R
Description: An implementation of item response theory and computer-based testing in R. It is designed for bridging the gap between theoretical advancements in psychometric research and their applications in practice. Currently, it consists of five modules: (1) common item response theory functions, (2) estimation procedures, (3) automated test assembly framework, (4) computerized adaptive testing framework, (5) multistage testing framework. See detailed documentation at <https://github.com/xluo11/xxIRT>.
Author: Xiao Luo [aut, cre]
Maintainer: Xiao Luo <xluo1986@gmail.com>

Diff between xxIRT versions 2.0.0 dated 2017-01-10 and 2.0.1 dated 2017-04-13

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More information about xxIRT at CRAN
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Package StructFDR updated to version 1.2 with previous version 1.1 dated 2017-03-06

Title: False Discovery Control Procedure Integrating the Prior Structure Information
Description: Perform more powerful false discovery control (FDR) for microbiome data, taking into account the prior phylogenetic relationship among bacteria species. As a general methodology, it is applicable to any type of (genomic) data with prior structure information.
Author: Jun Chen
Maintainer: Jun Chen <chen.jun2@mayo.edu>

Diff between StructFDR versions 1.1 dated 2017-03-06 and 1.2 dated 2017-04-13

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More information about StructFDR at CRAN
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Package RLumModel updated to version 0.2.1 with previous version 0.2.0 dated 2017-01-20

Title: Solving Ordinary Differential Equations to Understand Luminescence
Description: A collection of functions to simulate luminescence signals in the mineral quartz based on published models.
Author: Johannes Friedrich [aut, trl, cre], Sebastian Kreutzer [aut, ths], Christoph Schmidt [aut, ths]
Maintainer: Johannes Friedrich <johannes.friedrich@uni-bayreuth.de>

Diff between RLumModel versions 0.2.0 dated 2017-01-20 and 0.2.1 dated 2017-04-13

 DESCRIPTION                                              |   12 -
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More information about RLumModel at CRAN
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Package MANOVA.RM updated to version 0.0.5 with previous version 0.0.4 dated 2016-08-09

Title: Analysis of Multivariate Data and Repeated Measures Designs
Description: Implemented are various tests for semi-parametric repeated measures and general MANOVA designs that do neither assume multivariate normality nor covariance homogeneity, i.e., the procedures are applicable for a wide range of general multivariate factorial designs.
Author: Sarah Friedrich, Frank Konietschke, Markus Pauly
Maintainer: Sarah Friedrich <sarah.friedrich@uni-ulm.de>

Diff between MANOVA.RM versions 0.0.4 dated 2016-08-09 and 0.0.5 dated 2017-04-13

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More information about MANOVA.RM at CRAN
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Package jug updated to version 0.1.7 with previous version 0.1.6 dated 2017-02-23

Title: A Simple Web Framework for R
Description: jug is a web framework aimed at easily building APIs. It is mostly aimed at exposing R functions, models and visualizations to third-parties by way of http requests.
Author: Bart Smeets [aut, cre]
Maintainer: Bart Smeets <bartsmeets86@gmail.com>

Diff between jug versions 0.1.6 dated 2017-02-23 and 0.1.7 dated 2017-04-13

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More information about jug at CRAN
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Package influence.SEM updated to version 2.1 with previous version 2.0 dated 2016-10-09

Title: Case Influence in Structural Equation Models
Description: A set of tools for evaluating several measures of case influence for structural equation models.
Author: Massimiliano Pastore & Gianmarco Altoe'
Maintainer: Massimiliano Pastore <massimiliano.pastore@unipd.it>

Diff between influence.SEM versions 2.0 dated 2016-10-09 and 2.1 dated 2017-04-13

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New package horserule with initial version 0.1.0
Package: horserule
Type: Package
Title: Flexible Non-Linear Regression with the HorseRule Algorithm
Version: 0.1.0
Date: 2017-04-12
Author: Malte Nalenz <malte.nlz@googlemail.com>, Mattias Villani <mattias.villani@liu.se>
Maintainer: Malte Nalenz <malte.nlz@googlemail.com>
Description: Implementation of the HorseRule model a flexible tree based Bayesian regression method for linear and nonlinear regression and classification described in Nalenz & Villani (2017) <arXiv:1702.05008>.
Imports: mvnfast, MASS, randomForest, gbm, inTrees, ggplot2, BayesLogit, grDevices, RColorBrewer, stats
License: GPL-3
RoxygenNote: 6.0.1
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2017-04-13 08:14:31 UTC; maltenlz
Repository: CRAN
Date/Publication: 2017-04-13 17:47:39 UTC

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Package GDINA updated to version 1.4.2 with previous version 1.4.1 dated 2017-04-10

Title: The Generalized DINA Model Framework
Description: A set of psychometric tools for cognitive diagnostic analyses 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 saturated, higher-order 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], Jimmy de la Torre [aut]
Maintainer: Wenchao Ma <wenchao.ma@rutgers.edu>

Diff between GDINA versions 1.4.1 dated 2017-04-10 and 1.4.2 dated 2017-04-13

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Package DAISIE updated to version 1.4 with previous version 1.2 dated 2016-11-14

Title: Dynamical Assembly of Islands by Speciation, Immigration and Extinction
Description: Simulates and computes the (maximum) likelihood of a dynamical model of island biota assembly through speciation, immigration and extinction. See Valente et al. 2015. Ecology Letters 18: 844-852, <DOI:10.1111/ele.12461>.
Author: Rampal S. Etienne, Luis M. Valente, Albert B. Phillimore & Bart Haegeman
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

Diff between DAISIE versions 1.2 dated 2016-11-14 and 1.4 dated 2017-04-13

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Package CytobankAPI updated to version 1.0.1 with previous version 1.0.0 dated 2017-01-12

Title: Cytobank API Wrapper for R
Description: Tools to interface with Cytobank's API via R, organized by various endpoints that represent various areas of Cytobank functionality. Learn more about Cytobank at <https://www.cytobank.org>.
Author: Preston Ng
Maintainer: Preston Ng <preston@cytobank.org>

Diff between CytobankAPI versions 1.0.0 dated 2017-01-12 and 1.0.1 dated 2017-04-13

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Package BART updated to version 1.1 with previous version 1.0 dated 2017-04-07

Title: Bayesian Additive Regression Trees
Description: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary and time-to-event outcomes. For more information on BART, see Chipman, George and McCulloch (2010) <doi:10.1214/09-AOAS285> and Sparapani, Logan, McCulloch and Laud (2016) <doi:10.1002/sim.6893>.
Author: Robert McCulloch <robert.e.mcculloch@gmail.com> and Rodney Sparapani <rsparapa@mcw.edu>
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>

Diff between BART versions 1.0 dated 2017-04-07 and 1.1 dated 2017-04-13

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Package OpenMx updated to version 2.7.9-1 with previous version 2.7.9 dated 2017-03-22

Title: Extended Structural Equation Modelling
Description: Facilitates treatment of statistical model specifications as things that can be generated and manipulated programmatically. Structural equation models may be specified with reticular action model matrices or paths, linear structural relations matrices or paths, or directly in matrix algebra. Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential equations, state space, and many others.
Author: Steven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], Michael D. Hunter [aut], Daniel C. Hackett [ctb], Julian Karch [ctb], Andreas M. Brandmaier [ctb], Joshua N. Pritikin [aut, cre], Mahsa Zahery [aut], Robert M. Kirkpatrick [aut], Yang Wang [ctb], Charles Driver [ctb], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Association for Computing Machinery [cph], Dieter Kraft [cph], Stefan Wilhelm [cph], Manjunath B G [cph]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

Diff between OpenMx versions 2.7.9 dated 2017-03-22 and 2.7.9-1 dated 2017-04-13

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Package RODBC updated to version 1.3-15 with previous version 1.3-14 dated 2016-09-26

Title: ODBC Database Access
Description: An ODBC database interface.
Author: Brian Ripley [aut, cre], Michael Lapsley [aut] (1999 to Oct 2002)
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

Diff between RODBC versions 1.3-14 dated 2016-09-26 and 1.3-15 dated 2017-04-13

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