Efforts are made to make Chinese text mining easier, faster, and robust to errors. 
    Document term matrix can be generated by only one line of code; detecting encoding, 
    segmenting and removing stop words are done automatically. 
	Some convenient tools are also supplied.

A database of Chinese surnames and Chinese given names (1930-2008).
    This database contains nationwide frequency statistics of
    1,806 Chinese surnames and 2,614 Chinese characters used in given names,
    covering about 1.2 billion Han Chinese population
    (96.8% of the Han Chinese household-registered population
    born from 1930 to 2008 and still alive in 2008).
    This package also contains a function for computing multiple features of
    Chinese surnames and Chinese given names for scientific research (e.g.,
    name uniqueness, name gender, name valence, and name warmth/competence).

A collection of functions to pre-process amplification curve data from polymerase chain reaction (PCR) or isothermal amplification reactions. Contains functions to normalize and baseline amplification curves, to detect both the start and end of an amplification reaction, several smoothers (e.g., LOWESS, moving average, cubic splines, Savitzky-Golay), a function to detect false positive amplification reactions and a function to determine the amplification efficiency. Quantification point (Cq) methods include the first (FDM) and second approximate derivative maximum (SDM) methods (calculated by a 5-point-stencil) and the cycle threshold method. Data sets of experimental nucleic acid amplification systems ('VideoScan HCU', capillary convective PCR (ccPCR)) and commercial systems are included. Amplification curves were generated by helicase dependent amplification (HDA), ccPCR or PCR. As detection system intercalating dyes (EvaGreen, SYBR Green) and hydrolysis probes (TaqMan) were used. For more information see: Roediger et al. (2015) <doi:10.1093/bioinformatics/btv205>.

API Client for the Climate Hazards Center 'CHIRPS' and 'CHIRTS'. 
  The 'CHIRPS' data is a quasi-global (50°S – 50°N) high-resolution 
  (0.05 arc-degrees) rainfall data set, which incorporates satellite imagery 
  and in-situ station data to create gridded rainfall time series for trend 
  analysis and seasonal drought monitoring. 'CHIRTS' is a quasi-global 
  (60°S – 70°N), high-resolution data set of daily maximum and minimum
  temperatures. For more details on 'CHIRPS' and 'CHIRTS' data please visit 
  its official home page <https://www.chc.ucsb.edu/data>.