plone

R-mockr-0.1-1.lbn25.noarch
Provides a means to mock a package function, i.e., temporarily substitute it for testing. Designed as a drop-in replacement for 'testthat::with_mock()', which may break in R 3.4.0 and later.
Located in LBN / … / Big Data / BastionLinux 25
R-mockr-0.1-12.fc36.noarch
Provides a means to mock a package function, i.e., temporarily substitute it for testing. Designed as a drop-in replacement for 'testthat::with_mock()', which may break in R 3.4.0 and later.
Located in LBN / … / Big Data / BastionLinux 36
R-msm-1.3-5.lbn19.x86_64
Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
Located in LBN / … / Big Data / BastionLinux 19
R-msm-1.6.4-3.lbn25.x86_64
Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
Located in LBN / … / Big Data / BastionLinux 25
R-msm-1.6.8-10.fc36.x86_64
Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
Located in LBN / … / Big Data / BastionLinux 36
R-multcomp-1.4.5-2.lbn19.noarch
This R package contains functions for simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models.
Located in LBN / … / Big Data / BastionLinux 19
R-multcomp-1.4.5-4.lbn25.noarch
This R package contains functions for simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models.
Located in LBN / … / Big Data / BastionLinux 25
R-multcomp-1.4.17-3.fc36.noarch
This R package contains functions for simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models.
Located in LBN / … / Big Data / BastionLinux 36
R-multtest-2.20.0-4.lbn19.x86_64
Non-parametric bootstrap and permutation resampling-based multiple testing procedures for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Single-step and step-wise methods are implemented. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models) are included. Results are reported in terms of adjusted p-values, confindence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments. This Library is a part of the Bioconductor (bioconductor.org) proejct.
Located in LBN / … / Big Data / BastionLinux 19
R-multtest-2.32.0-3.lbn25.x86_64
Non-parametric bootstrap and permutation resampling-based multiple testing procedures for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Single-step and step-wise methods are implemented. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models) are included. Results are reported in terms of adjusted p-values, confindence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments. This Library is a part of the Bioconductor (bioconductor.org) proejct.
Located in LBN / … / Big Data / BastionLinux 25

« Previous 10 items Next 10 items » 1 ... 3936 3937 3938 3939 3940 3941 3942 ... 4897

Sections

Search results


	Copyright © 2000-2025 Corporation of Balclutha Inc. All rights reserved.