c(person("Landon", "Sego", role = c("aut", "cre"), email = "Landon.Sego@pnnl.gov"))
A collection of functions for statistical computing and data manipulation in R.
Includes routines for data ingestion, operating on dataframes and matrices, conversion to and
from lists, converting factors, filename manipulation, programming utilities, parallelization, plotting,
statistical and mathematical operations, and time series.
parallel, utils, plyr, doParallel, methods

c(person("Landon", "Sego", role = c("aut", "cre"), email = "LHS@byu.net"))

Constructs a yield curve by the Smith-Wilson method from a
table of LIBOR and SWAP rates
'fWilson.R' 'fFitKernelWeights.R' 'fCreateCashflowMatrix.R'
'fCreateTimeVector.R' 'fCreateKernelMatrix.R'
'fFitSmithWilsonYieldCurve.R' 'fFitYieldCurve.R'
'fFitSmithWilsonYieldCurveToInstruments.R' 'Utilities.R'
'SmithWilsonYieldCurve.R' 'plot.SmithWilsonYieldCurve.R'
'lines.SmithWilsonYieldCurve.R'
'points.SmithWilsonYieldCurve.R'

Celia Touraine, Pierre Joly, Thomas A. Gerds
User friendly Weibull regression for interval censored
data

Fitting illness-death model for interval-censored data
SmoothHazard is a package for fitting illness-death (and
survival) model with possibly interval-censored data for
transition toward transient state. Left-truncated and
right-censored data are also allowed. Proportional intensities
regression models allow for covariates on each of the 3
transitions. We use either a parametric approach with Weibull
baseline intensities or a semi-parametric approach with
M-splines approximation of baseline intensities in order to
obtain smooth estimates. Estimation of parameters is conducted
by likelihood maximization in the parametric approach or
penalized likelihood maximization in the semi-parametric
approach.

SmoothHazard is a package for fitting illness-death (and survival)
model with possibly interval-censored data for transition toward transient
state. Left-truncated and right-censored data are also allowed.
Proportional intensities regression models allow for covariates on each of
the 3 transitions. We use either a parametric approach with Weibull
baseline intensities or a semi-parametric approach with M-splines
approximation of baseline intensities in order to obtain smooth estimates.
Estimation of parameters is conducted by likelihood maximization in the
parametric approach or penalized likelihood maximization in the
semi-parametric approach.