Description: Calculates maximum likelihood estimate, exact and asymptotic confidence intervals, and exact and asymptotic goodness of fit p-values for infectious units per million (IUPM) from serial limiting dilution assays. This package uses the likelihood equation, exact PGOF, and exact confidence intervals described in Meyers et al. (1994) <http://jcm.asm.org/content/32/3/732.full.pdf>.
Packaged: 2016-07-19 13:59:02 UTC; ilanatrumble

Title: Software for Analyzing Limiting Dilution Assays
Description: Calculates maximum likelihood estimate, exact and asymptotic confidence intervals, and exact and asymptotic goodness of fit p-values for infectious units per million (IUPM) from serial limiting dilution assays. This package uses the likelihood equation, exact PGOF, and exact confidence intervals described in Meyers et al. (1994) <http://jcm.asm.org/content/32/3/732.full.pdf>. This software is also implemented as a web application through the Shiny R package <https://iupm.shinyapps.io/sldassay/>.
Packaged: 2017-03-08 00:49:53 UTC; ilanatrumble

Description: Calculates maximum likelihood estimate, exact and asymptotic confidence intervals, and exact and asymptotic goodness of fit p-values for concentration of infectious units from serial limiting dilution assays. This package uses the likelihood equation, exact goodness of fit p-values, and exact confidence intervals described in Meyers et al. (1994) <http://jcm.asm.org/content/32/3/732.full.pdf>. This software is also implemented as a web application through the Shiny R package <https://iupm.shinyapps.io/sldassay/>.
Packaged: 2017-06-29 19:41:29 UTC; ilanatrumble

Packaged: 2017-11-02 00:44:23 UTC; ilanatrumble

Title: Statistical Learning Based Estimation of Mutual Information
Authors@R: c(person("Tomasz", "Jetka", email = "t.jetka@gmail.com", role = c("aut", "cre")),
Description: The implementation of the algorithm for estimation of mutual information and channel capacity from experimental data by classification procedures (logistic regression). Technically, it allows to estimate information-theoretic measures between finite-state input and multivariate, continuous output. Method described in Jetka et al. (2019) <doi:10.1371/journal.pcbi.1007132>.
Imports: e1071, ggplot2, ggthemes, gridExtra, nnet, Hmisc, reshape2,
stringr, doParallel, caret, corrplot, foreach
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), data.table, covr