Sensitivity Analyses for Unmeasured Confounding in Meta-Analyses (ConfoundedMeta)
Conducts sensitivity analyses for unmeasured confounding in random-effects meta-analysis per Mathur & VanderWeele (in preparation). Given output from a random-effects meta-analysis with a relative risk outcome, computes point estimates and inference for: (1) the proportion of studies with true causal effect sizes more extreme than a specified threshold of scientific significance; and (2) the minimum bias factor and confounding strength required to reduce to less than a specified threshold the proportion of studies with true effect sizes of scientifically significant size. Creates plots and tables for visualizing these metrics across a range of bias values.

Robust Bayesian Linear Mixed-Effects Models using ABC (robustBLME)
Bayesian robust fitting of linear mixed effects models through weighted likelihood equations and approximate Bayesian computation as proposed by Ruli et al. (2017) <arXiv:1706.01752>.

A Consistent and Intuitive Platform to Explore the Dependencies of Packages on the Comprehensive R Archive Network Like Repositories (pkggraph)
Interactively explore various dependencies of a package(s) (on the Comprehensive R Archive Network Like repositories) and perform analysis using tidy philosophy. Most of the functions return a ‘tibble’ object (enhancement of ‘dataframe’) which can be used for further analysis. The package offers functions to produce ‘network’ and ‘igraph’ dependency graphs. The ‘plot’ method produces a static plot based on ‘ggnetwork’ and ‘plotd3’ function produces an interactive D3 plot based on ‘networkD3’.

A Text Mining Toolkit for Chinese (tmcn)
A Text mining toolkit for Chinese, which includes facilities for Chinese string processing, Chinese NLP supporting, encoding detecting and converting. Moreover, it provides some functions to support ‘tm’ package in Chinese.

The Chi-Square Periodogram (xsp)
The circadian period of a time series data is predicted and the statistical significance of the periodicity are calculated using the chi-square periodogram.

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