Values used in controlling the executions of various functions in the `lcmix`

package.

All “constants” should be treated as though they were actual constants, and *never* reassigned. For example, strenuously avoid statements such as `LC_EPS <- 1e-20`

.

`LC_LOG2` |
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`LC_LOGPI` |
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`LC_LOG2PI` |
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`LC_LOGSQRT2PI` |
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`LC_LOGSQRT2` |
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`LC_EPS` |
“epsilon”, a number very near 0. Defined here as | ||||||||||||||||||

`LC_LEPS` |
the logarithm of | ||||||||||||||||||

`LC_REPS` |
“reverse epsilon”, a number very near 1. Defined here as | ||||||||||||||||||

`LC_LREPS` |
the logarithm of | ||||||||||||||||||

`LC_MAXSTDNORM (LC_MINSTDNORM)` |
maximum (minimum) values for numbers supposed to have been generated by a standard normal distribution, defined here as 8 (-8). Values greater (less) than this will have a standard normal density very near 0. | ||||||||||||||||||

`LC_ITER_MAX` |
default maximum iterations for the EM algorithm as used in | ||||||||||||||||||

`LC_ITER_TOL` |
the value below which relative changes in log-likelihood must fall to terminate the EM algorithm, defined here as 1e-6. | ||||||||||||||||||

`LC_TOPOLOGY` |
vector of allowable topology names for multiple-data mixture models fitted using | ||||||||||||||||||

`LC_FAMILY` |
a list of which each element bears the name of an allowable distribution
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`LC_DISTN` |
names of acceptable model | ||||||||||||||||||

`LC_NONNEGFAM` |
a vector of names of distribution families which require data to have non-negative values, currently | ||||||||||||||||||

`LC_SIMPAR` |
marginal distribution parameters for simulated mixture models. See |

lcmix documentation built on May 31, 2017, 5 a.m.

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