Man pages for JimSkinner/spca
Structured PCA

complete_log_posterior	Compute a value proportional to the expected complete log...
compute_H	Compute all the blocks of H.
compute_H_W	Compute all the w_i blocks of H
cov.independent	Independant covariance function. Is zero everywhere except...
cov.independent.d	Derivative of the independent covariance function. Does not...
cov.MR	Noisy MR
cov.MR.beta0	Computationally cheap estimate for beta0 for cov.MR
cov.MR.d	Partial derivatives of the MR
cov.noisy.MR	Noisy MR covariance function
cov.noisy.MR.d	Partial derivatives of the noisy MR covariance function
cov.noisy.RQ	Noisy RQ covariance function
cov.noisy.RQ.beta0	Computationally cheap estimate for beta0 for cov.noisy.RQ.
cov.noisy.RQ.d	Partial derivatives of the noisy RQ covariance function
cov.noisy.SE	Noisy SE covariance function
cov.noisy.SE.beta0	Computationally cheap estimate for beta0 for cov.noisy.SE.
cov.noisy.SE.d	Partial derivatives of the noisy SE covariance function
cov.RQ	Rational quadratic covariance function
cov.RQ.beta0	Computationally cheap estimate for beta0 for cov.RQ.
cov.RQ.d	Rational quadratic covariance function derivatives wrt...
cov.SE	Squared exponential covariance function.
cov.SE.beta0	Computationally cheap estimate for beta0 for cov.SE.
cov.SE.d	Squared exponential covariance function derivatives wrt...
cov.taper	Taper a covariance function
cov.taper.d	Taper a covariance function (partial derivatives)
dlaplace	Density of the Laplace distribution
EM.E	Expectation step
EM.M.sigSq	Maximization step for sigma^2
EM.M.W	Maximization step for W
initialize_from_ppca	Initialize mu, sigSq and W from PPCA.
log_det_H_d	Compute the partial derivatives of log(det(H)) with respect...
log_evidence	Compute the laplace approximation to the log evidence given...
log_evidence_d	Compute the derivative of the approximate log evidence with...
log_likelihood	Calculate the log likelihood for StPCA with given parameters
log_prior	Calculate the un-normalised log prior (only in sigSq) for...
log_prior_d	Compute the partial derivatives of the log prior with respect...
log_prior_sigSq	The improper prior over sigSq. Proportional to sigma^-2
log_prior_W	The proper prior over W. p(W) = \prod^k_i=1 N(w_i \| 0, K)
log_sparse_prior	The un-normalised prior over W, sigma^2 in SpStPCA. A...
log_sparse_prior_W	The un-normalised prior over W in SpStPCA. This is a...
soft_threshold	Soft-thresholding operator.
StpcaModel-class	Structured PCA Model
sylSolve	Solve the sylvester equation AW + WB = C for W.
synthesize_data	Synthesize fake data from StPCA model
synthesize_data_kern	Synthesize fake data from StPCA model
theta_EM	Update theta to be the maximum-a-posteriori value using...