bcafccaf42d4f95b14006dc3009edb12 *ChangeLog
9e61e8c0eaf8bc7e49e5dd57ff9a8265 *DESCRIPTION
1b9b8b4c6928768639b93c7ad802b6f2 *NAMESPACE
65487183a8a513ed4f0dfb58582ad4b1 *NEWS
f6218db778f5360bba9d1e6aac541a47 *R/0_classesAndMethods.R
6fd635188f58b787a0e74f1e69b279b2 *R/0_ctmcClassesAndMethodsSAI.R
a8f80f7852f850e498e9059ef356e186 *R/1_ctmcProbabilisticSAI.R
6c12b0cde8a15c062a8f2bd2ebbe73e9 *R/1_functions4Fitting.R
6da59d306cb50111a4b49dda62633d1d *R/2_probabilistic.R
c7ff38fd90b492a5ab3ecc645c83786d *R/RcppExports.R
b66bd47b8b44b3835c77b9d0cc48a9b0 *R/zzz.R
b9818c020b292697e1f93ba4fa3b8af4 *README.md
640d272601ab362b4e8cbe4ae7621b45 *build/vignette.rds
c14c6c7a873710afa28c2d02c9f3a2bf *data/blanden.rda
56e85b9432521573f94c62d9ab6719ce *data/craigsendi.rda
e6cacc2a56553672127158ecfa03e928 *data/holson.rda
0e809da63049c577a4206fdd9c493d26 *data/preproglucacon.rda
717b5b6bc2cdc075c07145d829086e5d *data/rain.rda
a49c0a1e21a90e945330439694f333a1 *demo/00Index
341e2275587b8537b7a3817aaf3588a4 *demo/bard.R
dbf49ba2e9ce80d4d1f034650764a231 *demo/examples.R
89142f6fd07792388e74fd69002dffeb *demo/mathematica.R
029481907fc3fb65e4a1adbf9ee778f9 *demo/quickStart.R
5b8a0d0afb85abbcb527e7146c31077b *inst/CITATION
930c03bbfa0766691f73ccc44c7da63b *inst/doc/BayesianInference.R
4250ce1eb31b86491af640fae396bf9b *inst/doc/BayesianInference.Rmd
edc19d293f58bd02ceefdd0fa5cca1c1 *inst/doc/BayesianInference.pdf
e5e8ead6e88940e6fb07a58d5b7f9fe7 *inst/doc/CTMC.R
cc98dba730b9311c97d0f81460244d04 *inst/doc/CTMC.Rmd
4425ed030b1feb3284dfd4ec38d5d3ae *inst/doc/CTMC.pdf
a5d59f451abd3da7a30d5bc22e6d7e0c *inst/doc/an_introduction_to_markovchain_package.R
ec15ff2e10b7eacf1429c64bc19f7e8b *inst/doc/an_introduction_to_markovchain_package.Rnw
2a2566c023bf82bb8a8fa4223ead765d *inst/doc/an_introduction_to_markovchain_package.pdf
45cba3d0087cb5181fe8dbd26f11094e *inst/doc/markovchainCrashIntro.R
94391dcac8e1a990ad6d5d78b3310cc7 *inst/doc/markovchainCrashIntro.Rmd
5da1c516cf4e8f5c5673540e9b222392 *inst/doc/markovchainCrashIntro.pdf
56c2f883ea1ae173f3fca2c10b6f33e5 *man/absorbingStates.Rd
a614b7981f0769429639ae741fa02184 *man/blanden.Rd
1fbab8379bc7ce62caac222d5a1318bf *man/conditionalDistribution.Rd
2397a443861537aefb8945a457938c75 *man/craigsendi.Rd
afdb75ffac660089a2d14ca1bfbf3450 *man/ctmc-class.Rd
b6880a4a53e664f89fc3ee0ab12b4f54 *man/firstPassage.Rd
4c82a1a89a9dff91f35be512680a37de *man/generatorToTransitionMatrix.Rd
cc340bd76f81d70399a79bb2e10d312c *man/holson.Rd
a0c164cb96393db50f882114ae098954 *man/inferHyperparam.Rd
b2679681650e536caf3713ba83522ae0 *man/is.accessible.Rd
6d16272ef6710729e78840af49f37eac *man/is.irreducible.Rd
758b11b9bd02ad53963bb0e0dc6e4888 *man/markovchain-class.Rd
60e1c1bff6fc248b768fa7c948798e4a *man/markovchain-package.Rd
9f94880991d4952ab132fe4ef486125c *man/markovchainFit.Rd
5e69f68804acce4f1a38c4900d2628ea *man/markovchainList-class.Rd
ac25112c0ac7d153f8d120bbf93d5805 *man/markovchainListFit.Rd
df4fbf49a674d7b71546a9d8123974f6 *man/predictiveDistribution.Rd
abd5fdc185b4535e1b76a34a3deb76a9 *man/preproglucacon.Rd
d0461b33f23dc829aa0b9fe113521df2 *man/priorDistribution.Rd
8208aa574252da4b3e7b8f70f22cb2bc *man/rain.Rd
3c6330cb4d468357fa3c45c3dfea6969 *man/randomSampler.Rd
1aada4f4a08683b20e2db0e1b5ba3673 *man/rctmc.Rd
2c007a41c406929be3130923516ec0fe *man/states.Rd
bd95ce480329a977ad017eb4b2abd595 *man/steadyStates.Rd
f83af966898fc5766640603f0aa292f9 *man/transitionProbability.Rd
20df165e1441aa74c0b0e30c4bcff4a8 *src/0_classesAndMethods.cpp
4cf9f46f7b3c7807c7f26020547bfd57 *src/0_ctmcClassesAndMethodsSAI.cpp
d0a5c24ebe011b949104a396384b75c3 *src/1_functions4Fitting.cpp
5d2f60f3271f8cf188097639f3d2a747 *src/2_probabilistic.cpp
f7759f0473ebae9aa77f1a6990945bab *src/3_multinomCI.cpp
9bc5aa7d4334d43640f515c9a1fd70bd *src/Makevars
2a6f9e9e044a78154d3cfda5936d6f48 *src/Makevars.win
f88923f531ab6face3c95e211cc72f29 *src/RcppExports.cpp
f8f73758e998cdf1877f393609dcf3da *src/mapFitFunctionsSAI.h
f2ccf2c863b5452b7bd6a8853136db30 *src/mathHelperFunctions.h
9ca86bdb9770b1d4f09faaccd4b207c0 *tests/testthat.R
e5b3ac83017659a0c125846d7098078d *tests/testthat/Rplots.pdf
2694f3e44f08e8efc344885a888e2f0f *tests/testthat/testBasic1.R
8614bb09614a19472a5b53b89221d94e *tests/testthat/testMultinomCI.R
b69f2b68c51a0beb527eae47d2be92cc *tests/testthat/testOptimization.R
ca55644332256fa9effc5ec774e658d6 *tests/testthat/testParallelBootstrap.R
bb82e1ed328d3586c66cf94cdad44f5a *tests/testthat/testPeriod.R
cc858fe03ac5dc17917e626759078fac *tests/testthat/testPlot.R
9ee62c923e9207b3dcf756a424a98fd3 *tests/testthat/testRecurrentClasses.R
4250ce1eb31b86491af640fae396bf9b *vignettes/BayesianInference.Rmd
cc98dba730b9311c97d0f81460244d04 *vignettes/CTMC.Rmd
ec15ff2e10b7eacf1429c64bc19f7e8b *vignettes/an_introduction_to_markovchain_package.Rnw
15d9c2a9c18df75a3b609685503ccdd8 *vignettes/jss.dtx
b9564ddd59a06782310989e8f33db55e *vignettes/jsslogo.jpg
1f6f4a9551a979c2c6885d2985d44f75 *vignettes/markovchainBiblio.bib
94391dcac8e1a990ad6d5d78b3310cc7 *vignettes/markovchainCrashIntro.Rmd
