Man pages for adibender/pamm
Functions and Utilities for fitting Piece-wise Exponential (Additive) models

add_hazardAdd predicted hazard to data set
add_survprobAdd survival probability estimates to data set
add_termAdd info about term effects to data set
as_fpedTransform data with one row per subject to functional PED...
as_matdfTransform a nested data frame to data frame with matrix...
as_pedFunction to check if an object is of class 'ped' or transform...
calc_ciCalculate confidence intervals
combine_cutExtract unique cut points when time-dependent covariates...
combine_dfCombines multiple data frames
create_Lmatcreates one instance of Lag/Lead mat
dplyr_verbs'dplyr' Verbs for 'ped'-Objects
extract_oneExctract id with most observations from fped object
formula_helpersExtract variables from the left-hand-side of a formula
get_cumhazardCalculate cumulative hazard
get_grpvarsExtract character vector of grouping variables
get_hazardCalculate predicted hazard
get_intervalsInformation on intervals in which times fall
get_plotinfoExtract plot information for all special model terms
get_survprobCalculate survival probabilities
get_tdcExtract time-dependent covariates from data set
get_termExtract partial effects for specified model terms
get_termsExtract the partial effects of non-linear model terms
gg_fixedForrest plot of fixed coefficients
gg_rePlot Normal QQ plots for random effects
gg_smoothPlot smooth 1d terms of gam objects
gg_tensorPlot tensor product effects
int_infoCreate start/end times and interval information
int_info2Given interval break-points, provides data frame with...
LmatExtend instance of Lag-Lead matrix to whole data set
LsimpCreate one instance of the Lag-Lead matrix
make_XConstruct full data set with time-dependent covariate (TDC)
modusCalculate the modus
newdataConstruct a data frame suitable for prediction
pammFit a piece-wise exponential additive model
pamm_packagepamm: Piece-wise exponential Additive Mixed Models
pec_cvk-fold cross validated prediction error curve (pec)
pec_pammFit PAM to train data and calculate PEC on test data
ped_infoExtract interval information and median/modus values for...
plot_dfExtract information for plotting step functions
predictSurvProb.pammPredict survival probabilities at specified time points
riskset_infoExtract risk set information for each interval.
rm_grpvarsReturn ungrouped data frame without grouping variables
sample_infoExtract information of the sample contained in a data set
sim_wceSimulate survival data using the piece-wise exponential...
split_dataFunction to transform data without time-dependent covariates...
split_tdcCreate piece-wise exponential data in case of time-dependent...
tidiersExtract 1d smooth objects in tidy data format.
tidy_fixedExtract fixed coefficient table from model object
tidy_pecTranform data from pec object to tidy format
tidyr_verbs'tidyr' Verbs for 'ped'-Objects
tidy_smoothExtract random effects objects in tidy data format.
tidy_smooth2dExtract 2d smooth objects in tidy format.
adibender/pamm documentation built on Oct. 19, 2017, 11:58 a.m.