num_post_plsv: Numerically Maximize complete Posterior.
In NathanWycoff/iPLSV:

Description Usage Arguments Value

Numerically maximize the complete posterior of the PLSV model.

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num_post_plsv(docs, K, V, P, eta, gamma, beta, make_plot = FALSE,
  THETA_init = NULL, PSI_init = NULL, PHI_init = NULL,
  THETA_fix = list(), PSI_fix = list())

`docs`	A list of integer vectors, each subvector representing a document in the form of the indices of its words in the vocab.
`K`	The number of topics, an integer scalar.
`V`	The number of unique words, an integer scalar.
`P`	The dimensionality of the embedding space, an integer, usually 2.
`eta`	The exchangible dirichlet prior on words in a topic.
`beta`	The precision for topic locations, a positive scalar.
`make_plot`	A boolean, if TRUE, will make a ggplot visualization of the topics and documents, with topics in red.
`THETA_init`	A real matrix with as many rows as docs has and P many columns, giving an initial value for THETA.
`PSI_init`	A real matrix with K many rows and P many columns, giving an initial value for PSI
`PHI_init`	A matrix of K many V-1-simplex valued rows, giving the initial value for PHI
`THETA_fix`	A list of lists, used to fix rows of THETA to a given value. Each sublist has two elements: 'ind' and 'val'. 'ind' Indicates the row, 1-index, of THETA to fix, and 'val', a real valued P-vector, indicates the value to fix it to.
`gama`	The precision for document locations, a positive scalar.

A list containing ests, a list with PHI, the topic by document matrix, THETA, the document locations in P-D space, and PSI, the topic locations in P-D space.

NathanWycoff/iPLSV documentation built on May 16, 2019, 11:10 p.m.