Bayesian analysis of count distributions with JAGS


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Documentation for package ‘bayescount’ version 0.8.2

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ask OBTAIN INPUT FROM USER WITH ERROR HANDLING
assess.variance ASSESS CERTIAINTY IN VARIANCE ESTIMATE FOR LP/GP/WP MODEL
bayescount ANALYSE COUNT DATA USING JAGS
bayescount.single ANALYSE COUNT DATA USING JAGS
dump.format PRODUCE A CHARACTER STRING IN THE R DUMP FORMAT TO BE USED WITH JAGS
FECRT PERFORM AN ANALYSIS OF FAECAL EGG COUNT REDUCTION TEST DATA USING MCMC TO GIVE A PROBABILITY DISTRIBUTION OF VALUES FOR THE MEAN EGG COUNT REDUCTION
fecrt PERFORM AN ANALYSIS OF FAECAL EGG COUNT REDUCTION TEST DATA USING MCMC TO GIVE A PROBABILITY DISTRIBUTION OF VALUES FOR THE MEAN EGG COUNT REDUCTION
findJAGS ATTEMPT TO LOCATE A JAGS INSTALL
findjags ATTEMPT TO LOCATE A JAGS INSTALL
likelihood CALCULATE THE (LOG) LIKELIHOOD OF OBTAINING DATA FROM A DISTRIBUTION
lnormal.params CALCULATE THE LOG-NORMAL MEAN AND STANDARD DEVIATION USING THE NORMAL MEAN AND STANDARD DEVIATION
maximise.likelihood CALCULATE THE MAXIMUM LIKELIHOOD PARAMETERS OF A CONTINUOUS OR COUNT DISTRIBUTION
new_unique CREATE A UNIQUE FILENAME
normal.params CALCULATE THE NORMAL MEAN AND STANDARD DEVIATION USING THE LOG-NORMAL MEAN AND STANDARD DEVIATION
run.JAGS RUN A USER SPECIFIED MODEL IN JAGS FROM WITHIN R
run.jags RUN A USER SPECIFIED MODEL IN JAGS FROM WITHIN R
run.model ANALYSE COUNT DATA USING JAGS
testJAGS ANALYSE THE SYSTEM TO CHECK THAT JAGS IS INSTALLED
testjags ANALYSE THE SYSTEM TO CHECK THAT JAGS IS INSTALLED
timestring CALCULATE THE ELAPSED TIME IN SENSIBLE UNITS