convertToTimeVaryingCoef: Convert short sparse covariate table to long sparse covariate...
In Cyclops: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
convertToTimeVaryingCoef R Documentation
Convert short sparse covariate table to long sparse covariate table for time-varying coefficients.
Description
convertToTimeVaryingCoef convert short sparse covariate table to long sparse covariate table for time-varying coefficients.
Usage
convertToTimeVaryingCoef(shortCov, longOut, timeVaryCoefId)
Arguments
shortCov
A data frame containing the covariate with predefined columns (see below).
longOut
A data frame containing the outcomes with predefined columns (see below), output of splitTime.
timeVaryCoefId
Integer: A numeric identifier of a time-varying coefficient
Details
These columns are expected in the shortCov object:
rowId (integer) Row ID is used to link multiple covariates (x) to a single outcome (y)
covariateId (integer) A numeric identifier of a covariate
covariateValue (real) The value of the specified covariate
These columns are expected in the longOut object:
stratumId (integer) Stratum ID for time-varying models
subjectId (integer) Subject ID is used to link multiple covariates (x) at different time intervals to a single subject
rowId (integer) Row ID is used to link multiple covariates (x) to a single outcome (y)
y (real) The outcome variable
time (real) For models that use time (e.g. Poisson or Cox regression) this contains time
(e.g. number of days)
Value
A long sparse covariate table for time-varying coefficients.
Cyclops documentation built on June 22, 2024, 10:24 a.m.
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| convertToTimeVaryingCoef | R Documentation |
Convert short sparse covariate table to long sparse covariate table for time-varying coefficients.
Description
convertToTimeVaryingCoef convert short sparse covariate table to long sparse covariate table for time-varying coefficients.
Usage
convertToTimeVaryingCoef(shortCov, longOut, timeVaryCoefId)
Arguments
shortCov |
A data frame containing the covariate with predefined columns (see below). |
longOut |
A data frame containing the outcomes with predefined columns (see below), output of |
timeVaryCoefId |
Integer: A numeric identifier of a time-varying coefficient |
Details
These columns are expected in the shortCov object:
rowId | (integer) | Row ID is used to link multiple covariates (x) to a single outcome (y) |
covariateId | (integer) | A numeric identifier of a covariate |
covariateValue | (real) | The value of the specified covariate |
These columns are expected in the longOut object:
stratumId | (integer) | Stratum ID for time-varying models |
subjectId | (integer) | Subject ID is used to link multiple covariates (x) at different time intervals to a single subject |
rowId | (integer) | Row ID is used to link multiple covariates (x) to a single outcome (y) |
y | (real) | The outcome variable |
time | (real) | For models that use time (e.g. Poisson or Cox regression) this contains time |
| (e.g. number of days) | ||
Value
A long sparse covariate table for time-varying coefficients.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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