dlnm (version 0.3.0)

dlnm-internal: Internal functions for package dlnm

Description

Generate the basis functions for the space of predictor and lags. These functions are built for internal use only.

Usage

mkbasis(var, type="ns", df=1, knots=NULL, bound = range(var),
	int=FALSE, cen=TRUE, cenvalue=mean(var))

mklagbasis(maxlag=0, type="ns", df=1, knots=NULL,
	bound=c(0, maxlag), int=TRUE)

Arguments

var

a numeric vector of ordered observations.

type

type of basis.

df

dimension of the basis. They depend on varknots and lagknots if provided.

knots

knots location for the basis.

bound

boundary knots. Used only if type="ns".

int

logical. If TRUE, an intercept is included in the basis.

cen

logical. If TRUE, the basis functions are centered.

cenvalue

centering value.

maxlag

maximum lag.

Value

• basis
  matrix of basis functions
• Additional values are returned that correspond to the arguments above, and explicitly give type, df, knots, bound, int, varcen, cenvalue and maxlag related to the corresponding basis.

Details

These functions are called by crossbasis in order to build the related cross-basis functions. See crossbasis for further details.

References

Armstrong, B. Models for the relationship between ambient temperature and daily mortality. Epidemiology. 2006, 17(6):624-31.

Examples

mkbasis(1:5, knots=3)
mkbasis(1:5, type="thr", knots=3)
mklagbasis(maxlag=5, type="poly", df=3)

# the intercept
mklagbasis(maxlag=10, type="strata", knots=c(4,7))
mklagbasis(maxlag=10, type="strata", knots=c(4,7), int=FALSE)

# centering
mkbasis(0:10, type="poly", df=3)
mkbasis(0:10, type="poly", df=3, cen=FALSE)

### See the vignette 'dlnmOverview' for a detailed explanation of this example