Access to Pinterest Ads via the 'Windsor.ai' API
Collect  marketing data from Pinterest Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
Use four spaces when indenting paragraphs within the Description.

Convert Chinese characters into Pinyin (the official romanization system for Standard Chinese in mainland China, Malaysia, Singapore, and Taiwan. See <https://en.wikipedia.org/wiki/Pinyin> for details).

Convert Chinese Characters into Pinyin, Sijiao, Wubi or Other
Codes
c(
person("Peng", "Zhao", role = c("aut", "cre"), email = "pzhao@pzhao.net"),
person("Qu", "Cheng", role = "ctb"))
Convert Chinese characters into Pinyin (the official romanization system for Standard Chinese in mainland China, Malaysia, Singapore, and Taiwan. See <https://en.wikipedia.org/wiki/Pinyin> for details), Sijiao (four or five numerical digits per character. See <https://en.wikipedia.org/wiki/Four-Corner_Method>.), Wubi (an input method with five strokes. See <https://en.wikipedia.org/wiki/Wubi_method>) or user-defined codes.

Dual-Agent Dose Escalation for Phase I Trials using the PIPE
Design
Implements the Product of Independent beta Probabilities dose Escalation (PIPE) design for dual-agent Phase I trials as described in Mander AP, Sweeting MJ. Statistics in Medicine 2015. doi: 10.1002/sim.6434.

Implements the Product of Independent beta Probabilities dose Escalation (PIPE) design for dual-agent Phase I trials as described in Mander AP, Sweeting MJ (2015) <DOI:10.1002/sim.6434>.

Permutation p-Value Estimation for Gene Set Tests
Code for various permutation p-values estimation methods for gene set test. The description of corresponding methods can be found in the dissertation of Yu He(2016) "Efficient permutation P-value estimation for gene set tests" <https://searchworks.stanford.edu/view/11849351>. One of the methods also corresponds to the paper "Permutation p-value approximation via generalized Stolarsky invariance" <https://arxiv.org/abs/1603.02757>.

Code for various permutation p-values estimation methods for gene set test. The description of corresponding methods can be found in the dissertation of Yu He(2016) "Efficient permutation P-value estimation for gene set tests" <https://searchworks.stanford.edu/view/11849351>. One of the methods also corresponds to the paper "Permutation p-value approximation via generalized Stolarsky invariance" <arXiv:1603.02757>.