Description Usage Arguments Value Examples
Create and define a list of control options used to run the
LDATS model, as implemented by LDA_TS
.
1 2 3 4 5 6 | LDA_TS_control(quiet = FALSE, measurer_LDA = AIC, selector_LDA = min,
iseed = 2, memoise = TRUE, response = "gamma", lambda = 0,
measurer_TS = AIC, selector_TS = min, ntemps = 6,
penultimate_temp = 2^6, ultimate_temp = 1e+10, q = 0,
nit = 10000, magnitude = 12, burnin = 0, thin_frac = 1,
summary_prob = 0.95, seed = NULL, ...)
|
quiet |
|
measurer_LDA, selector_LDA |
Function names for use in evaluation of
the LDA models. |
iseed |
|
memoise |
|
response |
|
lambda |
|
measurer_TS, selector_TS |
Function names for use in evaluation of the
TS models. |
ntemps |
|
penultimate_temp |
Penultimate temperature in the ptMCMC sequence. |
ultimate_temp |
Ultimate temperature in the ptMCMC sequence. |
q |
Exponent controlling the ptMCMC temperature sequence from the focal chain (reference with temperature = 1) to the penultimate chain. 0 (default) implies a geometric sequence. 1 implies squaring before exponentiating. |
nit |
|
magnitude |
Average magnitude (defining a geometric distribution) for the proposed step size in the ptMCMC algorithm. |
burnin |
|
thin_frac |
Fraction of iterations to retain, from the ptMCMC. Must be (0, 1], and the default value of 1 represents no thinning. |
summary_prob |
Probability used for summarizing the posterior
distributions (via the highest posterior density interval, see
|
seed |
Input to |
... |
Additional arguments to be passed to
|
list
of control lists
, with named elements
LDAcontrol
, TScontrol
, and quiet
.
1 |
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