Bayesian analysis of count distributions with JAGS

Documentation for package ‘bayescount’ version 0.8.2

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