initMix: Initial Parameters
In SWotherspoon/MVNSeq: Normal Mixture and Hidden Markov Models

Initial parameter estimates for HMM and mixture models.

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initMix(y, cl, K = max(cl))

initHMM(y, cl, K = max(cl))

`y`	the sequence of observations
`cl`	an integer vector allocating observations to classes
`K`	the number of classes

Given a sequence of observations and a vector of initial class allocations, estimate the parameters for a mixture or hidden Markov model.

parsMixClass returns a list with elements

SWotherspoon/MVNSeq documentation built on May 10, 2017, 12:22 p.m.

SWotherspoon/MVNSeq index

README.md

BootPR: Bootstrap Prediction Intervals and Bias-Corrected Forecasting

signalHsmm: Predict Presence of Signal Peptides

animation: A Gallery of Animations in Statistics and Utilities to Create Animations

RI2by2: Randomization Inference for Treatment Effects on a Binary Outcome

OptSig: Optimal Level of Significance for Regression and Other Statistical Tests

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