Microarray Data From Multiple Biologically Interrelated
Experiments
This package provides Knorm correlations between genes (or
probes) from microarray data obtained across multiple
biologically interrelated experiments.  The Knorm correlation
adjusts for experiment dependencies (correlations) and reduces
to the Pearson coefficient when experiment dependencies are
absent.  The Knorm estimation approach can be generally
applicable to obtain between-row correlations from data
matrices with two-way dependencies.

Makes nice pictures of knots using Bezier curves and
numerical optimization.

Retrieve data from 'kintone' (<https://www.kintone.com/>) via its API.
'kintone' is an enterprise application platform.
base64enc, dplyr, httr, jsonlite, lazyeval, lubridate,
methods, purrr (>= 0.2), rstudioapi, stringr

base64enc, dplyr (>= 0.7.0), httr, jsonlite, lazyeval,
lubridate, methods, purrr (>= 0.2.3), rstudioapi, stringr,
tibble

base64enc, dplyr (>= 0.7.0), httr, jsonlite, lubridate,
methods, purrr (>= 0.2.3), rlang, rstudioapi, stringr, tibble,
tidyr

m.eik michalke <meik.michalke@hhu.de>, with contributions from
Earl Brown <eabrown@csumb.edu>, Alberto Mirisola, and Laura
Hauser
A set of tools to analyze texts. Includes, amongst others,
functions for automatic language detection, hyphenation,
several indices of lexical diversity (e.g., type token ratio,
HD-D/vocd-D, MTLD) and readability (e.g., Flesch, SMOG, LIX,
Dale-Chall). Basic import functions for language corpora are
also provided, to enable frequency analyses (supports Celex and
Leipzig Corpora Collection file formats).  #' Note: For full
functionality a local installation of TreeTagger is
recommended.  Be encouraged to send feedback to the author(s)!
c(person(given="Meik", family="Michalke",
email="meik.michalke@hhu.de", role=c("aut", "cre")),
person(given="Earl", family="Brown", email="eabrown@csumb.edu",
role=c("ctb")), person(given="Alberto", family="Mirisola",
role=c("ctb")), person(given="Laura", family="Hauser",
role=c("ctb")))
'ARI.R' 'bormuth.R' 'C.ld.R' 'coleman.liau.R' 'coleman.R'
'kRp.hyphen-class.R' 'kRp.tagged-class.R' 'kRp.TTR-class.R'
'correct-method.R' 'CTTR.R' 'dale.chall.R' 'danielson.bryan.R'
'dickes.steiwer.R' 'DRP.R' 'ELF.R' 'farr.jenkins.paterson.R'
'flesch.kincaid.R' 'flesch.R' 'FOG.R' 'FORCAST.R' 'fucks.R'
'get.kRp.env.R' 'guess.lang.R' 'harris.jacobson.R' 'HDD.R'
'hyphen.R' 'K.ld.R' 'koRpus-internal.import.R'
'kRp.txt.trans-class.R' 'kRp.txt.freq-class.R'
'kRp.readability-class.R' 'kRp.lang-class.R'
'kRp.hyph.pat-class.R' 'kRp.filter.wclass.R'
'kRp.corp.freq-class.R' 'kRp.analysis-class.R'
'koRpus-internal.R' 'koRpus-internal.rdb.formulae.R'
'koRpus-internal.rdb.params.grades.R'
'koRpus-internal.roxy.all.R' 'koRpus-package.R' 'kRp.cluster.R'
'kRp.freq.analysis.R' 'kRp.POS.tags.R' 'kRp.text.analysis.R'
'kRp.text.paste.R' 'kRp.text.transform.R' 'lang.support-de.R'
'lang.support-en.R' 'lang.support-es.R' 'lang.support-it.R'
'lang.support-ru.R' 'lex.div.num.R' 'lex.div.R'
'linsear.write.R' 'LIX.R' 'maas.R' 'manage.hyph.pat.R'
'MATTR.R' 'MSTTR.R' 'MTLD.R' 'nWS.R' 'plot.kRp.tagged.R'
'query-method.R' 'readability.num.R' 'readability.R'
'read.corp.celex.R' 'read.corp.custom.R' 'read.corp.LCC.R'
'read.hyph.pat.R' 'RIX.R' 'R.ld.R' 'segment.optimizer.R'
'set.kRp.env.R' 'show.kRp.lang.R' 'show.kRp.readability.R'
'show.kRp.TTR.R' 'S.ld.R' 'SMOG.R' 'spache.R' 'strain.R'
'summary.kRp.lang.R' 'summary.kRp.readability.R'
'summary.kRp.tagged.R' 'summary.kRp.TTR.R'
'summary.kRp.txt.freq.R' 'textFeatures.R' 'tokenize.R'
'traenkle.bailer.R' 'treetag.R' 'TRI.R' 'TTR.R' 'U.ld.R'
'wheeler.smith.R'