R: Non-Homogeneous Markov and Hidden Markov Multistate Models

# Non-Homogeneous Markov and Hidden Markov Multistate Models

## Documentation for package ‘nhm’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

ematrix.nhm | Compute the misclassification probability matrix from a fitted nhm model
example_data1 | Example of data on a progressive 4 state process
example_data2 | Example of data on a progressive 4 state process with state misclassification
expected_hitting_time | Compute the estimated hitting time for a state of a progressive multi-state model.
initialprob.nhm | Compute the initial probability vector from a fitted nhm model
model.nhm | Model object set up for non-homogeneous Markov models
nhm | Fit a non-homogeneous Markov model using maximum likelihood
nhm.control | Ancillary arguments for controlling nhm fits
plot.nhm | Plot transition probabilities, intensities or state occupation probabilities from a fitted nhm model.
predict.nhm | Compute transition probabilities from a fitted nhm model
print.nhm_score | Print output from a score test of a nhm object
qmatrix.nhm | Compute transition intensities from a fitted nhm model
state_life_expectancy | State-specific life expectancies and quality-adjusted life years
state_occupation_probability.nhm | Compute state occupation probabilities from a fitted nhm model