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An implementation of the Log Cumulative Probability Model (LCPM) and Proportional Probability Model (PPM) for which the Maximum Likelihood Estimates are determined using constrained optimization. This implementation accounts for the implicit constraints on the parameter space. Other features such as standard errors, z tests and p-values use standard methods adapted from the results based on constrained optimization.

Type Size Name Uploaded Downloads Labels
conda 60.5 kB | noarch/r-lcpm-0.1.1-r43h142f84f_0.tar.bz2  2 years and 4 months ago 44 main
conda 60.0 kB | noarch/r-lcpm-0.1.1-r42h142f84f_0.tar.bz2  3 years and 11 months ago 75 main
conda 59.6 kB | noarch/r-lcpm-0.1.0-r36h6115d3f_0.tar.bz2  6 years and 2 months ago 139 main

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