Doubly Truncated Data Analysis, Cumulative Incidence Functions
c(
person("Jacobo", "de Uña Álvarez", email = "jacobo@uvigo.es", role = "aut"),
person("José Carlos", "Soage González", email = "jsoage@uvigo.es", role = "cre"))
José Carlos Soage González <jsoage@uvigo.es>
Nonparametric estimator of the cumulative incidences of competing risks under double truncation. The estimator generalizes the Efron-Petrosian NPMLE (Non-Parametric Maximun Likelihood Estimator) to the competing risks setting. Efron, B. and Petrosian, V. (1999) <doi:10.2307/2669997>.
Jacobo de Uña Álvarez [aut],
José Carlos Soage González [cre]

Doubly Truncated Data Analysis, Non Iterative
Non-iterative estimator for the cumulative distribution of a doubly truncated variable. de Uña-Álvarez J. (2018) <doi:10.1007/978-3-319-73848-2_37>.

Dunnett-Tukey-Kramer: Pairwise Multiple Comparison Test Adjusted for Unequal Variances and Unequal Sample Sizes
Functions for conducting and plotting Dunnett's modified Tukey-Kramer pairwise multiple comparison test accounting for unequal variance and unequal sample sizes.

Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted for Unequal Variances and Unequal Sample Sizes

Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted
for Unequal Variances and Unequal Sample Sizes
Functions for conducting and plotting Dunnett's modified
Tukey-Kramer pairwise multiple comparison test accounting for
unequal variance and unequal sample sizes.

This package was created to analyze multi-level one-way
experimental designs. It is designed to handle vectorized
observation and factor data where there are unequal sample
sizes and population variance homogeneity can not be assumed.
To conduct the Dunnett modified Tukey-Kramer test (a.k.a. the
T3 Procedure), create two vectors: one for your observations
and one for the factor level of each observation. The function,
\code{\link{gl.unequal}}, provides a means to more conveniently
produce a factor vector with unequal sample sizes. Next, use
the \code{\link{DTK.test}} function to conduct the test and
save the output as an object to input into the
\code{\link{DTK.plot}} function, which produces a confidence
interval plot for each of the pairwise comparisons. Lastly, the
function (\code{\link{TK.test}}) conducts the original
Tukey-Kramer test.