hmmm-package |
package hmmm |
accident |
factory accident data |
akaike |
akaike criterium |
anova.hmmmfit |
anova for the class hmmmfit |
create.XMAT |
design matrix for a hmm model |
depression |
longitudinal study of mental depression |
drinks |
soft-drinks data |
getnames |
vector of frequencies from a data frame |
GMI |
Function to compute the generalized marginal interactions associated to a hyerarchical family of marginal sets |
hmmm.chibar |
chi-bar statistic test for hmm models |
hmmm.mlfit |
fit a hmm model |
hmmm.model |
define a hmm model |
hmmm.model.X |
hmm model with covariates effect on parameters |
inv_GMI |
Function to compute a vector of joint probabilities from a vector of generalizedmarginal interactions (GMI) |
kentucky |
Kentucky traffic accident data |
loglin.model |
define a log-linear model |
madsen |
Madsen data |
marg.list |
lists of marginal sets |
mphineq.fit |
fit mph models under inequality constraints |
polbirth |
political orientation and teenage birth control data |
print.hmmmchibar |
print for hmmm.chibar |
print.hmmmfit |
print for the class hmmmfit |
print.hmmmmod |
summary and print for the class hmmmmod |
print.mphfit |
summary and print for the class 'mphfit' |
recursive |
recursive marginal interactions |
relpol |
religion and political orientation data |
relpolbirth |
religion, political orientation and teenage birth control data |
summary.hmmmchibar |
summary for hmmm.chibar |
summary.hmmmfit |
summary for the class hmmmfit |
summary.hmmmmod |
summary and print for the class hmmmmod |
summary.mphfit |
summary and print for the class 'mphfit' |