Contains basic tools for sample size estimation in studies of interobserver/interrater agreement (reliability).  Includes functions for both the power-based and confidence interval-based methods, with binary or multinomial outcomes and two through six raters.

The palette includes motifs from Japanese landscape and culture.
    And it provides commands for color manipulation and 'ggplot2' color scales.

Attempts to remove vocals from a stereo '.wav' recording of a song.

This is the R implementation of Karel the robot, a programming 
  language created by Dr. R. E. Pattis at Stanford University in 1981. Karel is 
  an useful tool to teach introductory concepts about general programming, such 
  as algorithmic decomposition, conditional statements, loops, etc., in an 
  interactive and fun way, by writing programs to make Karel the robot achieve 
  certain tasks in the world she lives in. Originally based on Pascal, Karel 
  was implemented in many languages through these decades, including 'Java', 'C++', 
  'Ruby' and 'Python'. This is the first package implementing Karel in R.

This is a stochastic framework that combines biochemical reaction networks with extended Kalman filter and Rauch-Tung-Striebel smoothing. 
  This framework allows to investigate the dynamics of cell differentiation from high-dimensional clonal tracking data subject to measurement noise, false negative errors, and systematically unobserved cell types. 
  Our tool can provide statistical support to biologists in gene therapy clonal tracking studies for a deeper understanding of clonal reconstitution dynamics. Further details on the methods can be found in L. Del Core et al., (2022) <doi:10.1101/2022.07.08.499353>.

Real-time quantitative polymerase chain reaction (qPCR) data
    sets by Karlen et al. (2007) <doi:10.1186/1471-2105-8-131>. Provides one
    single tabular tidy data set in long format, encompassing 32
    dilution series, for seven PCR targets and four biological samples. The
    targeted amplicons are within the murine genes: Cav1, Ccn2, Eln, Fn1, Rpl27,
    Hspg2, and Serpine1, respectively. Dilution series: scheme 1 (Cav1, Eln,
    Hspg2, Serpine1): 1-fold, 10-fold, 50-fold, and 100-fold; scheme 2 (Ccn2,
    Rpl27, Fn1): 1-fold, 10-fold, 50-fold, 100-fold and 1000-fold.
    For each concentration there are five replicates, except for the 1000-fold
    concentration, where only two replicates were performed. Each amplification
    curve is 40 cycles long. Original raw data file is Additional file 2 from
    "Statistical significance of quantitative PCR" by Y. Karlen, A. McNair,
    S. Perseguers, C. Mazza, and N. Mermod (2007)
    <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-8-131/MediaObjects/12859_2006_1503_MOESM2_ESM.ZIP>.