Analysis of multivariate dichotomous and polytomous data
using latent trait models under the Item Response Theory
approach. It includes the Rasch, the Two-Parameter Logistic,
the Birnbaum's Three-Parameter, the Graded Response, and the
Generalized Partial Credit Models.

R (>= 2.9.0), MASS, msm, mvtnorm, polycor

R (>= 2.11.0), MASS, msm, mvtnorm, polycor

R (>= 2.13.0), MASS, msm, mvtnorm, polycor

R (>= 2.14.0), MASS, msm, mvtnorm, polycor

Left-Truncated Mixtures of Gamma, Weibull, and Lognormal
Distributions
Martin Blostein <martin.blostein@gmail.com> and Tatjana Miljkovic <miljkot@miamioh.edu>
Mixture modelling of one-dimensional data using combinations of left-truncated Gamma, Weibull, and Lognormal Distributions. Blostein, Martin & Miljkovic, Tatjana. (2019) <10.1016/j.insmatheco.2018.12.001>.

Mixture modelling of one-dimensional data using combinations of left-truncated Gamma, Weibull, and Lognormal Distributions. Blostein, Martin & Miljkovic, Tatjana. (2019) <doi:10.1016/j.insmatheco.2018.12.001>.

Longitudinal Targeted Maximum Likelihood Estimation
c(person("Joshua", "Schwab", role=c("aut", "cre"),
email="joshuaschwab@yahoo.com"), person("Samuel", "Lendle", role="aut"),
person("Maya", "Petersen", role="aut"), person("Mark", "van der Laan",
role="aut"), person("Susan", "Gruber", role="ctb"))
Targeted Maximum Likelihood Estimation (TMLE) of
treatment/censoring specific mean outcome or marginal structural model for
point-treatment and longitudinal data.
'ltmle-package.R' 'GeneralUtilities.R' 'ltmle.R' 'ltmle_sg.R'
'BinaryToCensoring.R' 'DeterministicFunctions.R' 'zzz.R'
Joshua Schwab [aut, cre],
Samuel Lendle [aut],
Maya Petersen [aut],
Mark van der Laan [aut],
Susan Gruber [ctb]

'GeneralUtilities.R' 'ltmle.R' 'ltmle_sg.R'
'BinaryToCensoring.R' 'DeterministicFunctions.R' 'zzz.R'

SuperLearner, memoise, DEoptim, testthat, tmle
Targeted Maximum Likelihood Estimation (TMLE) of
treatment/censoring specific mean outcome or marginal structural model for
point-treatment and longitudinal data
'GeneralUtilities.R' 'ltmle.R' 'ltmle_sg.R'
'BinaryToCensoring.R' 'DeterministicFunctions.R'