Imports: NLP (>= 0.1-6.3), SnowballC, qdap

Imports: NLP (>= 0.1-6.3), SnowballC, qdap, utils

Imports: NLP (>= 0.1-11.3), SnowballC, qdap, utils

Title: searching for the root of equation
Author: Zheng Sengui,Lu Xufen,Hou Qiongchen,Zheng Jianhui
Description: This is a package which can help you search for the root
Packaged: 2012-07-05 14:00:07 UTC; BOXIANWEI

Title: An R package for National Longitudinal Survey Analysis
Description: The National Longitudinal Surveys provide a wealth of sociological data. However, the export facilities provided by the Bureau of Labor Statistics result in a crude output format that requires a considerable time commitment from the analyst. The NLSdata package is a companion utility to the NLS Investigator <https://www.nlsinfo.org/investigator/pages/login.jsp> that facilitates reading, interpreting and reshaping NLS data for a wide variety of sociological and longitudinal analyses.

Title: Network Meta-Analysis of Multiple Diagnostic Tests
Authors@R: c(person("Boyang", "Lu", email = "lu000083@umn.edu",
person("Qinshu", "Lian", email = "lianx025@umn.edu",
Description: Implements HSROC (hierarchical summary receiver operating characteristic) model developed by Ma, Lian, Chu, Ibrahim, and Chen (2018) <doi:10.1093/biostatistics/kxx025>
and hierarchical model developed by Lian, Hodges, and Chu (2019) <doi:10.1080/01621459.2018.1476239> for performing meta-analysis for 1-5 diagnostic tests to simultaneously
compare multiple tests within a missing data framework. This package evaluates the accuracy of
multiple diagnostic tests and also gives graphical representation of the results.
Imports: coda, ggplot2, ks, reshape2, MCMCpack, MASS,plotrix, graphics,

person("Xiaoye", "Ma", email = "xiaoye1043@gmail.com",
person("Yong", "Chen", email = "ychen123@mail.med.upenn.edu",
person("James S.", "Hodges", email = "hodge003@umn.edu",
person("Joseph G.", "Ibrahim", email = " jibrahim@email.unc.edu",
person("Haitao", "Chu", email = "chux0051@umn.edu",

Title: Detecting Outliers in Network Meta-Analysis
Description: A set of functions providing the forward search algorithm for detecting outlying studies (i.e., studies with extreme findings) in network meta-analysis:
- provides the length of the initial subset for forward search algorithm;
- iterations of forward search algorithm;
- basic set of studies in each step of forward search algorithm;
- summary estimates and their confidence intervals in each step of forward search algorithm;
- heterogeneity and inconsistency measures;
- forward plot for summary estimates and their confidence intervals;
- forward plots for monitored measures: outlying case diagnostics measures, ranking measures, heterogeneity, and inconsistency measures.
Author: Maria Petropoulou [aut, cre] (<https://orcid.org/0000-0002-7147-3644>),