Stochastic Model for Analysis of Longitudinal Data

Documentation for package ‘stpm’ version 1.1.2

fill_last	Filling the last cell
longdat	This is the longitudinal dataset.
optimize	A sub-finction that corresponds to the spm_time_dep(...)
prepare_data	Data pre-processing for analysis with stochastic process model methodology.
prepare_data_cont	Prepares continuouts-time dataset.
prepare_data_discr	Prepares discrete-time dataset.
setlb	Sets lower boundaries.
setub	Sets upper boundaries.
simdata_cont	Multi-dimensional simulation function for continuous trait.
simdata_cont2	Multi-dimensional simulation function for continuous trait. Similar to simdata_cont(...) but much faster.
simdata_discr	Multi-dimension simulation function
simdata_time_dep	Simulation function for continuous trait with time-dependant coefficients.
spm	A central function that estimates Stochastic Process Model parameters a from given dataset.
spm_continuous	Continuous multi-dimensional optimization
spm_discrete	Discrete multi-dimensional optimization
spm_projection	A data projection with previously estimated or user-defined parameters. Projections are constructed for a cohort with fixed or normally distributed initial covariates.
spm_time_dep	spm_time_dep : a function that estimates parameters from the model with time-dependent coefficients.
trim	Returns string w/o leading or trailing whitespace
trim.leading	Returns string w/o leading whitespace
trim.trailing	Returns string w/o trailing whitespace
vitstat	Vital (mortality) statistics.