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pammtools
View on CRAN: Click
here
Download and install pammtools package within the R console
Install from CRAN:
install.packages("pammtools")
Install from Github:
library("remotes")
install_github("cran/pammtools")
Install by package version:
library("remotes")
install_version("pammtools", "0.5.93")
Attach the package and use:
library("pammtools")
Maintained by
Andreas Bender
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-16
Latest Update: 2023-07-13
Description:
The Piece-wise exponential (Additive Mixed) Model
(PAMM; Bender and others (2018) ) is a
powerful model class for the analysis of survival (or time-to-event) data,
based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2019)), as well as support for left-truncated, competing risks and recurrent events data.
pammtools provides tidy workflow for survival analysis with PAMMs,
including data simulation, transformation and other functions for data
preprocessing and model post-processing as well as visualization.
How to cite:
Andreas Bender (2018). pammtools: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis. R package version 0.5.93, https://cran.r-project.org/web/packages/pammtools. Accessed 01 Feb. 2025.
Previous versions and publish date:
0.1.7 (2018-11-16 17:10), 0.1.8 (2019-01-02 14:10), 0.1.9 (2019-03-14 12:00), 0.1.11 (2019-04-18 10:30), 0.1.14 (2019-09-08 16:40), 0.2.1 (2020-02-09 18:30), 0.2.2 (2020-03-12 22:00), 0.2.3 (2020-05-27 12:00), 0.2.4 (2020-06-06 17:50), 0.5.4 (2020-12-18 07:20), 0.5.6 (2021-03-29 12:40), 0.5.7 (2021-06-21 15:00), 0.5.8 (2022-01-09 04:32), 0.5.91 (2023-03-24 13:10), 0.5.92 (2023-07-13 02:10)
Other packages that cited pammtools R package
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Other R packages that pammtools depends,
imports, suggests or enhances
Complete documentation for pammtools
Functions, R codes and Examples using
the pammtools R package
Some associated functions: add_cif . add_hazard . add_surv_prob . add_tdc . add_term . as.data.frame.crps . as_ped . as_ped_cr . calc_ci . combine_df . compute_cumu_diff . cumulative_coefficient . daily . dplyr_verbs . elra_matrix . fcumu . formula_helpers . geom_hazard . geom_stepribbon . get_cif . get_cumu_eff . get_cumu_hazard . get_cumulative . get_cut . get_event_types . get_hazard . get_intervals . get_laglead . get_ped_form . get_plotinfo . get_sim_ci . get_surv_prob . get_tdc_form . get_tdc_vars . get_term . get_terms . gg_fixed . gg_laglead . gg_partial . gg_re . gg_slice . gg_smooth . gg_tensor . has_tdc . int_info . modus . nest_tdc . newdata . pamm . pammtools . patient . ped_info . pipe . predictSurvProb.pamm . prep_concurrent . rpexp . sample_info . seq_range . sim_pexp . sim_pexp_cr . simdf_elra . specials . split_data . split_data_multistate . staph . tidiers . tidy_fixed . tidy_smooth . tidy_smooth2d . tumor . warn_about_new_time_points .
Some associated R codes: add-functions.R . as-ped.R . convenience-plots.R . cumulative-coefficient.R . cumulative-effect.R . data.R . formula-specials.R . formula-utils.R . geom-hazard.R . get-cut-points.R . get-terms.R . ggplot-extensions.R . helpers.R . interval-information.R . lag-lead-utils.R . make-newdata.R . model-evaluation.R . nest-utils.R . pammfit.R . pammtools.R . predict.R . rpexp.R . sim-pexp.R . split-data.R . tdc-utils.R . tidiers.R . tidyverse-methods.R . utils-pipe.R . viz-elra.R . warnings.R . zzz.R . Full pammtools package functions and examples
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