Sat, 27 Jun 2015

New package LncMod with initial version 1.1
Package: LncMod
Type: Package
Title: Predicting Modulator and Functional/Survival Analysis
Version: 1.1
Author: Yongsheng Li,Zishan Wang,Juan Xu*,Xia Li*
Maintainer: Zishan Wang <azureskyeric@gmail.com>
Description: Predict modulators regulating the ability of effectors to regulate their targets and produce modulator-effector-target triplets followed by goterm functional enrichment and survival analysis.This is mainly applied to long non-coding RNAs (lncRNAs) as candidate modulators regulating the ability of transcription factors (TFs) to regulate their corresponding targets.
License: GPL-2
LazyData: TRUE
biocViews: long non-coding RNA,lncRNA,modulator,triplet,function,survival
Depends: R (>= 2.15.2),survival,pheatmap,parallel
Packaged: 2015-06-27 00:29:50 UTC; Administrator
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-06-27 13:24:19

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Package ElemStatLearn updated to version 2015.6.26 with previous version 2012.04-0 dated 2012-04-10

Title: Data Sets, Functions and Examples from the Book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Description: Useful when reading the book above mentioned, in the documentation referred to as `the book'.
Author: Material from the book's webpage, R port and packaging by Kjetil B Halvorsen
Maintainer: Kjetil B Halvorsen <kjetil1001@gmail.com>

Diff between ElemStatLearn versions 2012.04-0 dated 2012-04-10 and 2015.6.26 dated 2015-06-27

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Package dmm updated to version 1.6-2 with previous version 1.6-1 dated 2015-05-09

Title: Dyadic Mixed Model for Pedigree Data
Description: Dyadic mixed model analysis with multi-trait responses and pedigree-based partitioning of individual variation into a range of environmental and genetic variance components for individual and maternal effects.
Author: Neville Jackson
Maintainer: Neville Jackson <nanddjackson@bigpond.com>

Diff between dmm versions 1.6-1 dated 2015-05-09 and 1.6-2 dated 2015-06-27

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Package crch updated to version 0.9-0 with previous version 0.1-0 dated 2013-10-22

Title: Censored Regression with Conditional Heteroscedasticity
Description: Different approaches to censored or truncated regression with conditional heteroscedasticity are provided. First, continuous distributions can be used for the (right and/or left censored or truncated) response with separate linear predictors for the mean and variance. Second, cumulative link models for ordinal data (obtained by interval-censoring continuous data) can be employed for heteroscedastic extended logistic regression (HXLR). In the latter type of models, the intercepts depend on the thresholds that define the intervals.
Author: Jakob Messner [aut, cre], Achim Zeileis [aut]
Maintainer: Jakob Messner <Jakob.Messner@uibk.ac.at>

Diff between crch versions 0.1-0 dated 2013-10-22 and 0.9-0 dated 2015-06-27

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Package qicharts updated to version 0.2.0 with previous version 0.1.3 dated 2015-05-01

Title: Quality Improvement Charts
Description: Functions for making run charts and basic Shewhart control charts for measure and count data. The main function, qic(), creates run and control charts and has a simple interface with a rich set of options to control data analysis and plotting, including options for automatic data aggregation by subgroups, easy analysis of before-and-after data, exclusion of one or more data points from analysis, and splitting charts into sequential time periods. Missing values and empty subgroups are handled gracefully.
Author: Jacob Anhoej [aut, cre], Timo Roeder [ctb]
Maintainer: Jacob Anhoej <jacob@anhoej.net>

Diff between qicharts versions 0.1.3 dated 2015-05-01 and 0.2.0 dated 2015-06-27

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New package knitLatex with initial version 0.9.0
Package: knitLatex
Title: 'Knitr' Helpers - Mostly Tables
Version: 0.9.0
Authors@R: person("John", "Shea", email = "coachshea@fastmail.com", role = c("aut", "cre"))
Description: Provides several helper functions for working with 'knitr' and 'LaTeX'. It includes 'xTab' for creating traditional 'LaTeX' tables, 'lTab' for generating 'longtable' environments, and 'sTab' for generating a 'supertabular' environment. Additionally, this package contains a knitr_setup() function which fixes a well-known bug in 'knitr', which distorts the 'results="asis"' command when used in conjunction with user-defined commands; and a com command (<<com=TRUE>>=) which renders the output from 'knitr' as a 'LaTeX' command.
Depends: R (>= 3.2.0)
License: GPL-3
LazyData: true
Imports: knitr (>= 1.10.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2015-06-26 21:38:25 UTC; coachshea
Author: John Shea [aut, cre]
Maintainer: John Shea <coachshea@fastmail.com>
Repository: CRAN
Date/Publication: 2015-06-27 11:56:19

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