Title: Estimating Preferential Attachment from a Single Network
Description: A Markov chain Monte Carlo method is provided to estimate the preferential attachment function from a single network snapshot. Conventional methods require the complete information about the appearance order of all nodes and edges in the network. This package incorporates the appearance order into the state space and estimates it together with the preferential attachment function. Auxiliary variables are introduced to facilitate fast Gibbs sampling.

Description: A Markov chain Monte Carlo method is provided to estimate the preferential attachment function from a single network snapshot. Conventional methods require the complete information about the appearance order of all nodes and edges in the network. This package incorporates the appearance order into the state space and estimates it together with the preferential attachment function.
Packaged: 2017-06-30 01:34:50 UTC; thongpham

Title: Visualize Results of Statistical Hypothesis Tests
Authors@R: c(person("Michael", "Czekanski", email = "mczekanski@middlebury.edu", role = c("aut", "cre")), person("Alex", "Lyford", email = "alyford@middlebury.edu", role = "aut"))
Description: Provides functionality to produce graphs of sampling distributions of test statistics from a variety of common statistical tests. With only a few keystrokes, the user can conduct a hypothesis test and visualize the test statistic and corresponding p-value through the shading of its sampling distribution. Initially created for statistics at Middlebury College.
Imports: dplyr, ggplot2, ggthemes, gridExtra, magrittr, tidyr

Description: Provides functionality to produce graphs of sampling distributions of test 	statistics from a variety of common statistical tests. With only a few keystrokes, 	the user can conduct a hypothesis test and visualize the test statistic and 		corresponding p-value through the shading of its sampling distribution. Initially       	created for statistics at Middlebury College.
Imports: dplyr, ggplot2, ggthemes, gridExtra, magrittr, rlang, stats,