linregDSS: Returns the quantities shared to the client to performed...
In sib-swiss/dsSwissKnife: DataSHIELD Tools and Utilities - server side
linregDSS R Documentation
Returns the quantities shared to the client to performed distributed linear regression.
Description
Caclulates X'X and X'y as in the normal equation, i.e. the MLE for beta
is b = inv(X'X) X'Y . No need to calculate beta here, nor to share the matrix X.
Also returns y'y and the sample size
in order to recompute the T statistics (and the p-values).
Usage
linregDSS(df, dep_var, expl_vars)
Arguments
dep_var:
[string] the column name for the dependent variable (y).
expl_vars:
[vector of strings] the column names for the explanatory variables.
Value
a list.
sib-swiss/dsSwissKnife documentation built on Nov. 27, 2024, 6:03 p.m.
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| linregDSS | R Documentation |
Returns the quantities shared to the client to performed distributed linear regression.
Description
Caclulates X'X and X'y as in the normal equation, i.e. the MLE for beta is b = inv(X'X) X'Y . No need to calculate beta here, nor to share the matrix X. Also returns y'y and the sample size in order to recompute the T statistics (and the p-values).
Usage
linregDSS(df, dep_var, expl_vars)
Arguments
dep_var: |
[string] the column name for the dependent variable (y). |
expl_vars: |
[vector of strings] the column names for the explanatory variables. |
Value
a list.
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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