Assay-based Cross-sectional Estimation of incidence rates
Brian Claggett <bclagget@hsph.harvard.edu>, Weiliang Qiu
<stwxq@channing.harvard.edu>, Rui Wang <rwang@hsph.harvard.edu>
The package contains functions for estimating incidence
rate from assay-based cross-sectional studies

person("Denis", "Arnold", email="denis.arnold@uni-tuebingen.de", role = c("aut","dtc","cre"))
Make acoustic cues to use with the R packages 'ndl' or 'ndl2'. The package implements functions used
in the PLOS ONE paper:
Denis Arnold, Fabian Tomaschek, Konstantin Sering, Florence Lopez, and R. Harald Baayen (accepted).
Words from spontaneous conversational speech can be recognized with human-like accuracy by
an error-driven learning algorithm that discriminates between meanings straight from smart
acoustic features, bypassing the phoneme as recognition unit. PLOS ONE
More details can be found in the paper and the supplement.
'ndl' is available on CRAN. 'ndl2' is available by request from <konstantin.sering@uni-tuebingen.de>.

person("Denis", "Arnold", email="arnold@ids-mannheim.de", role = c("aut","dtc","cre"))
Make acoustic cues to use with the R packages 'ndl' or 'ndl2'. The package implements functions used
in the PLoS ONE paper:
Denis Arnold, Fabian Tomaschek, Konstantin Sering, Florence Lopez, and R. Harald Baayen (2017).
Words from spontaneous conversational speech can be recognized with human-like accuracy by
an error-driven learning algorithm that discriminates between meanings straight from smart
acoustic features, bypassing the phoneme as recognition unit.  PLoS ONE 12(4):e0174623
https://doi.org/10.1371/journal.pone.0174623
More details can be found in the paper and the supplement.
'ndl' is available on CRAN. 'ndl2' is available by request from <konstantin.sering@uni-tuebingen.de>.

c(person("Denis", "Arnold", email="arnold@ids-mannheim.de", role = c("aut","dtc","cre")),
person("Elnaz","Shafaei Bajestan",email="elnaz.shafaei-bajestan@uni-tuebingen.de",role=c("ctb")))
Make acoustic cues to use with the R packages 'ndl' or 'ndl2'. The package implements functions used
in the PLoS ONE paper:
Denis Arnold, Fabian Tomaschek, Konstantin Sering, Florence Lopez, and R. Harald Baayen (2017).
Words from spontaneous conversational speech can be recognized with human-like accuracy by
an error-driven learning algorithm that discriminates between meanings straight from smart
acoustic features, bypassing the phoneme as recognition unit.  PLoS ONE 12(4):e0174623
<doi:10.1371/journal.pone.0174623>
More details can be found in the paper and the supplement.
'ndl' is available on CRAN. 'ndl2' is available by request from <konstantin.sering@uni-tuebingen.de>.
Denis Arnold [aut, dtc, cre],
Elnaz Shafaei Bajestan [ctb]