Fit Univariate Mixed and Usual Distributions
José Carlos Del Valle <jcval94@gmail.com>
Extends the fitdist() (from 'fitdistrplus') adding the Anderson-Darling ad.test() (from 'ADGofTest') and Kolmogorov Smirnov Test ks.test() inside and trying the distributions (from 'stats') by default and offering a second function which uses mixed distributions to fit, this distributions are split with unsupervised learning, with Mclust() function (from 'mclust').
ADGofTest, fitdistrplus, assertthat, MASS, purrr, ggplot2,
cowplot, methods, stats

Extends the fitdist() (from 'fitdistrplus') adding the Anderson-Darling ad.test() (from 'ADGofTest') and Kolmogorov Smirnov Test ks.test() inside, trying the distributions from 'stats' package by default and offering a second function which uses mixed distributions to fit, this distributions are split with unsupervised learning, with Mclust() function (from 'mclust').

Fixed Sequence Multiple Testing Procedures
Generalized Fixed Sequence Multiple Testing
Procedures (g-FSMTPs) are used to test a sequence of pre-
ordered hypotheses. The proposed three Family-wise Error Rate (FWER)
controlling g-FSMTPs utilize numbers of rejections and acceptances, all
the procedures are designed under arbitrary dependence. The proposed two False
Discovery Rate (FDR) controlling g-FSMTPs allows more but a given number of
acceptances (k>=1), the procedures are designed for arbitrary dependence and
independence. The main functions for each proposed g-FSMTPs are designed to
calculate adjusted p-values and critical values, respectively. For users'
convenience, the output results also include the option of decision rules for
convenience.

Several generalized Fixed Sequence Multiple Testing Procedures (g-
FSMTPs) are developed for testing a sequence of pre-ordered hypotheses while
controlling the FWER and FDR. All three FWER controlling g-FSMTPs are designed
under arbitrary dependence, which allow any number of acceptances, and two
FDR controlling g-FSMTPs are respectively designed under arbitrary dependence
and independence, which allow more but a given number of acceptances. The main
functions for each proposed g-FSMTPs are designed to calculate adjusted p-values
and critical values, respectively. For users' convenience, the output results
also include the option of decision rules for convenience.