internal: Functions that are currently internal to Survomatic.

In bokov/powertrip: Analysis of longevity data.

Description

Various functions that are internally used by survwrapper and other front-end functions.

Usage

weibhaz(x, a, b, c = 0, s = 0, i = 1) 
rlgst(n, a, b, s) 
rlogmake(n, a, b, c, s) 
srvhaz(x, a, b, c = 0, s = 0, i = 1) 
srvshp(x, a, b, c = 0, s = 0, i = 1, model = "g") 
cpars(x, y, xpars, ypars, model, LL, const = NULL, cx = rep(1, 
    length(x)), cy = rep(1, length(y))) 
smoother(x, s = smooth) 
modelinfo(x, what = c("comp", "rcomp", "dfcomp", "dfrcomp", "tblcomp", 
    "tblrcomp", "tblcomp2", "deps", "rdeps", "tbldeps", "tblrdeps", 
    "vars", "keep", "fullname"), extended = T) 
modpars(x, modeli, modelo = NULL, cni = rep(T, 4), cno = NULL, 
    nil = 1e-07, wbnil = 1, pf = mean, trim = F, onegrp = F) 
gmean(x) 
checkcons(cons, np, keep) 
fixpar(par, np, keep) 
objf(par, lb = 0, ub = 10, cons = rep.int(1, 4), x, y = NULL, 
    keep = 1:2, np = 2, ex = "ofg", nx, ny, cx, cy, tlog = F) 

Arguments

a	The a parameter, in literature sometimes called lambda.
b	The b parameter, in literature sometimes called gamma.
c	The c parameter (exogenous mortality).
s	The s parameter (late mortality deceleration).
i	Unit conversion factor by which the raw observations are multiplied
n	How many values to return
model	Model to use, can be 'e', 'w', 'g', 'gm', 'l', or 'lm'
cni	Vector of 1s and 0s. The 0s are parameters were constrained to be equal between the groups in the input model.
cno	Optional vector of 1s and 0s. The 0s are the parameters that should be constrained to be equal between the groups in the output model
cons	Parameters that should be held constant
const	Parameters that should be held constant
cx	Censored observations from the first group
cy	Censored observations from the second group
ex	Name of the objective function to try
extended	Whether to return extended model info
keep	Which parameters to keep
lb	Lower bound
ub	Upper bound
modeli	Model converting from
modelo	Model converting to
nil	A number with which to fill formerly variable positions that were NA in the input model but must exist in the output model.
wbnil	A weibull-specific argument that, if it exists and the model is weibull, will overwrite nil.
np	Number of parameters.
nx	Number of observations in first group
ny	Number of observations in second group
onegrp	If TRUE, then parameters from just one group. Otherwise (default) parameters from a two-group joint model.
par	A vector of model parameters
pf	Parameter function. If given a pair of parameters an unconstrained model, how to find a starting value for those parameters in a model where they are constrained to equal each other.
tlog	If true in objf, the parameters are exponentiated first.
trim	Whether to strip NAs from the modpars output.
what	What type of information is needed from modelinfo.
x	Event times from first group.
y	Event times from second group.
xpars	To be added.
ypars	To be added.
LL	To be added.

Details

Internal functions.

bokov/powertrip documentation built on May 12, 2019, 11:33 p.m.