quantreg, survival, Hmisc, foreach, doRNG, doParallel,
parallel

Creating Null and Counternull Distributions to Find Counternull
Values
c(
person("Mabene", "Yasmine", email = "ymabene@stanford.edu",
role = c("aut", "cre")),
person("Bind", "Marie", email = "ma.bind@gmail.com", role = "aut"),
person("Harvard University", role = "cph"))
Calculates the difference in average change over time for
variables in given dataset. Generates a randomization matrix to resample data
for permutation testing. Creates and plots null distributions and calculates
P-Values. Identifies potential counternull values by generating and plotting
counternull distributions.
Rosenthal and Rubin (1994) <doi:10.1111/j.1467-9280.1994.tb00281.x>.
Mabene Yasmine [aut, cre],
Bind Marie [aut],
Harvard University [cph]

Flexible Univariate and Bivariate Count Process Probability
Flexible univariate and bivariate count models based on
the Weibull distribution.  The models may include covariates and
can be specified with familiar formula syntax.
Matrix, Rcpp (>= 0.11.3), flexsurv, Formula, VGAM, optimx,
numDeriv, boot, MASS, car

Flexible Univariate Count Models Based on Renewal Processes
Flexible univariate count models based on renewal
processes. The models may include covariates and can be specified
with familiar formula syntax as in glm().
Matrix, Rcpp (>= 0.11.3), Formula, VGAM, optimx, numDeriv,
boot, MASS, car

Matrix, Rcpp (>= 0.11.3), flexsurv, Formula, VGAM, optimx,
numDeriv, boot, MASS, car, utils

Matrix, Rcpp (>= 0.11.3), flexsurv, Formula, VGAM, optimx,
numDeriv, boot, MASS, car, utils, Rdpack, lattice,
RColorBrewer, dplyr, standardize, pscl, lmtest, xtable
'Countr.R' 'RcppExports.R' 'coefnames.R' 'convCount_loglik.R'
'convCount_moments.R' 'convCount_probs.R' 'dWeibull.R'
'dWeibullgamma.R' 'data.R' 'renewal_IV.R' 'renewal_tools.R'
'renewal_cstr.R' 'tools.R' 'renewal_methods.R'

c( person(given = "Tarak", family = "Kharrat",
role = c("aut", "cre"),
email = "Tarak.Kharrat@liverpool.ac.uk"),
person(given = c("Georgi", "N."), family = "Boshnakov",
role = c("aut"),
email = "georgi.boshnakov@manchester.ac.uk") )
Flexible univariate count models based on renewal
processes. The models may include covariates and can be specified
with familiar formula syntax as in glm() and package 'flexsurv'.
The methodology is described in a forthcoming paper in the Journal
of Statistical Software (included as vignette 'Countr_guide').
'Countr-package.R' 'RcppExports.R' 'anc.R' 'coefnames.R'
'convCount_loglik.R' 'convCount_moments.R' 'convCount_probs.R'
'dWeibull.R' 'dWeibullgamma.R' 'data.R' 'renewal_IV.R'
'renewal_tools.R' 'renewal_cstr.R' 'tools.R'
'renewal_methods.R'
Tarak Kharrat [aut, cre],
Georgi N. Boshnakov [aut]