Man pages for lvhoskovec/psbpHMM
Covariate-dependent iHMMs for multiple time series

detZminus1Determine possible states and previous states
detZminus1forNoneDetermine possible states when no covariates
dlso_wrapperIdentify best clustering of states in PSBP-iHMM model based...
fitDPMMFit truncated joint DPMM to multiple time series
fixedK_clusteringMVN model based clustering
getIndepSimRsultsSummarize simulation results from indpendently fit iHMMs
getJointSimResultsSummarize simulation results from jointly fit iHMMs
hamdistGreedily assign estimated states to true states then...
ismissingfunction to indicate missing values
logsumLog of sum of exponentiated log-likelihood
mciHMMFit covariate-dependent PSBP-iHMM to multiple time series
mgammamultivariate gamma function
miHMMFit PSBP-iHMM without covariates to multiple time series
minModeMin Mode: Find the least common value
ModeCalculate ALL modes in a vector
modelAveMuCalculate model averaged estimates of state-specific means...
psbpHMM-packageCovariate-dependent iHMMs for multiple time series
rcatRandom categorical generator
rcpparma_hello_worldSet of functions in example RcppArmadillo package
recode_ZRelabel z to 1:length(z) while retaining order of z
simDataSimulate data to fit methods in the R package 'psbpHMM'
updateZ_RcodeUpdate hidden states
upStateList_lapplyupdate state list
upStateList_lapply_noxupdate state list when no covariates
wMinusbCalculate W minus Xbeta
lvhoskovec/psbpHMM documentation built on Feb. 13, 2022, 10:40 p.m.