data/r-cran-markovchain-0.8.5-2/ChangeLog:77: paramter ==> parameter
data/r-cran-markovchain-0.8.5-2/ChangeLog:111: bootstap ==> bootstrap
data/r-cran-markovchain-0.8.5-2/demo/mathematica.R:26: thime ==> time, theme, thyme, thine
data/r-cran-markovchain-0.8.5-2/man/freq2Generator.Rd:19: matix ==> matrix
data/r-cran-markovchain-0.8.5-2/man/markovchainFit.Rd:52: Boostrap ==> Bootstrap
data/r-cran-markovchain-0.8.5-2/man/is.regular.Rd:16: wether ==> weather, whether
data/r-cran-markovchain-0.8.5-2/tests/testthat/testetm.R:48: availablity ==> availability
data/r-cran-markovchain-0.8.5-2/tests/testthat/testBasic.R:431: accesible ==> accessible
data/r-cran-markovchain-0.8.5-2/tests/testthat/testBasic.R:434: accesible ==> accessible
data/r-cran-markovchain-0.8.5-2/src/probabilistic.cpp:240: wheter ==> whether
data/r-cran-markovchain-0.8.5-2/src/probabilistic.cpp:288: wheter ==> whether
data/r-cran-markovchain-0.8.5-2/src/probabilistic.cpp:486: initialses ==> initialises, initializes
data/r-cran-markovchain-0.8.5-2/src/probabilistic.cpp:719: frequeny ==> frequency, frequently, frequent
data/r-cran-markovchain-0.8.5-2/src/probabilistic.cpp:1440: imlementation ==> implementation
data/r-cran-markovchain-0.8.5-2/src/fittingFunctions.cpp:271: probabilty ==> probability
data/r-cran-markovchain-0.8.5-2/src/fittingFunctions.cpp:383: maximun ==> maximum
data/r-cran-markovchain-0.8.5-2/src/fittingFunctions.cpp:610: caculate ==> calculate
data/r-cran-markovchain-0.8.5-2/src/fittingFunctions.cpp:652: wheter ==> whether
data/r-cran-markovchain-0.8.5-2/src/fittingFunctions.cpp:892: ans ==> and
data/r-cran-markovchain-0.8.5-2/src/fittingFunctions.cpp:1503: ouput ==> output
data/r-cran-markovchain-0.8.5-2/src/fittingFunctions.cpp:1524: Boostrap ==> Bootstrap
data/r-cran-markovchain-0.8.5-2/src/fittingFunctions.cpp:1589: bootsrap ==> bootstrap
data/r-cran-markovchain-0.8.5-2/src/fittingFunctions.cpp:1693: everytime ==> every time
data/r-cran-markovchain-0.8.5-2/src/fittingFunctions.cpp:1693: coresponding ==> corresponding
data/r-cran-markovchain-0.8.5-2/src/utils.cpp:337: allOne ==> alone, all one
data/r-cran-markovchain-0.8.5-2/src/utils.cpp:341: allOne ==> alone, all one
data/r-cran-markovchain-0.8.5-2/src/utils.cpp:342: allOne ==> alone, all one
data/r-cran-markovchain-0.8.5-2/src/utils.cpp:343: allOne ==> alone, all one
data/r-cran-markovchain-0.8.5-2/src/utils.cpp:345: allOne ==> alone, all one
data/r-cran-markovchain-0.8.5-2/src/helpers.h:227: Integeral ==> Integral
data/r-cran-markovchain-0.8.5-2/src/mapFitFunctions.h:91: chech ==> check, czech
data/r-cran-markovchain-0.8.5-2/src/mapFitFunctions.h:146: frequeny ==> frequency, frequently, frequent
data/r-cran-markovchain-0.8.5-2/src/ctmcProbabilistic.cpp:76: initialses ==> initialises, initializes
data/r-cran-markovchain-0.8.5-2/vignettes/higher_order_markov_chains.Rmd:35: exmaples ==> examples
data/r-cran-markovchain-0.8.5-2/vignettes/markovchainBiblio.bib:188: ois ==> is
data/r-cran-markovchain-0.8.5-2/vignettes/markovchainBiblio.bib:401: adddress ==> address
data/r-cran-markovchain-0.8.5-2/vignettes/an_introduction_to_markovchain_package.Rmd:102: softwares ==> software
data/r-cran-markovchain-0.8.5-2/vignettes/an_introduction_to_markovchain_package.Rmd:669: loosing ==> losing
data/r-cran-markovchain-0.8.5-2/vignettes/an_introduction_to_markovchain_package.Rmd:1557: te ==> the, be, we
data/r-cran-markovchain-0.8.5-2/vignettes/gsoc_2017_additions.Rmd:171: calulate ==> calculate
data/r-cran-markovchain-0.8.5-2/vignettes/gsoc_2017_additions.Rmd:399: initals ==> initials
data/r-cran-markovchain-0.8.5-2/R/ctmcProbabilistic.R:123: matix ==> matrix
data/r-cran-markovchain-0.8.5-2/R/ctmcProbabilistic.R:193: vlaues ==> values
data/r-cran-markovchain-0.8.5-2/R/ctmcProbabilistic.R:204: packge ==> package
data/r-cran-markovchain-0.8.5-2/R/ctmcProbabilistic.R:427: embeded ==> embedded
data/r-cran-markovchain-0.8.5-2/R/ctmcProbabilistic.R:519: ans ==> and
data/r-cran-markovchain-0.8.5-2/R/ctmcProbabilistic.R:523: ans ==> and
data/r-cran-markovchain-0.8.5-2/R/ctmcProbabilistic.R:534: ans ==> and
data/r-cran-markovchain-0.8.5-2/R/ctmcProbabilistic.R:539: ans ==> and
data/r-cran-markovchain-0.8.5-2/R/ctmcProbabilistic.R:665: ans ==> and
data/r-cran-markovchain-0.8.5-2/R/probabilistic.R:748: wether ==> weather, whether
data/r-cran-markovchain-0.8.5-2/R/fittingFunctions.R:41: implmentation ==> implementation
data/r-cran-markovchain-0.8.5-2/R/fittingFunctions.R:56: probabilty ==> probability
data/r-cran-markovchain-0.8.5-2/R/fittingFunctions.R:362: ouput ==> output
data/r-cran-markovchain-0.8.5-2/R/fittingFunctions.R:748: inital ==> initial
data/r-cran-markovchain-0.8.5-2/R/RcppExports.R:178: Boostrap ==> Bootstrap
data/r-cran-markovchain-0.8.5-2/R/statisticalTests.R:120: occurences ==> occurrences
data/r-cran-markovchain-0.8.5-2/R/statisticalTests.R:337: frequencey ==> frequency
data/r-cran-markovchain-0.8.5-2/R/classesAndMethods.R:863: ond ==> one
data/r-cran-markovchain-0.8.5-2/R/classesAndMethods.R:1178: probabilty ==> probability
data/r-cran-markovchain-0.8.5-2/R/classesAndMethods.R:1225: returs ==> returns
data/r-cran-markovchain-0.8.5-2/R/classesAndMethods.R:1243: probabilty ==> probability
data/r-cran-markovchain-0.8.5-2/R/classesAndMethods.R:1284: veryfy ==> verify
data/r-cran-markovchain-0.8.5-2/inst/doc/higher_order_markov_chains.Rmd:35: exmaples ==> examples
data/r-cran-markovchain-0.8.5-2/inst/doc/an_introduction_to_markovchain_package.R:537: te ==> the, be, we
data/r-cran-markovchain-0.8.5-2/inst/doc/an_introduction_to_markovchain_package.Rmd:102: softwares ==> software
data/r-cran-markovchain-0.8.5-2/inst/doc/an_introduction_to_markovchain_package.Rmd:669: loosing ==> losing
data/r-cran-markovchain-0.8.5-2/inst/doc/an_introduction_to_markovchain_package.Rmd:1557: te ==> the, be, we
data/r-cran-markovchain-0.8.5-2/inst/doc/gsoc_2017_additions.Rmd:171: calulate ==> calculate
data/r-cran-markovchain-0.8.5-2/inst/doc/gsoc_2017_additions.Rmd:399: initals ==> initials