Nonparametric Estimation of Measurement Error Models
Provide nonparametric methods for mean regression model, modal regression and conditional density estimation in the presence/absence of measurement error. Bandwidth selection is also provided for each method.
System | Target | Derivation | Build status |
---|---|---|---|
x86_64-linux | /gnu/store/lkr7jmcdan8vnhx3k6lqb4s8bvpg8da5-r-lpme-1.1.1.drv | ||
powerpc64le-linux | /gnu/store/40g033vlrm1l5ynr6laq2yf9hdw555qf-r-lpme-1.1.1.drv | ||
mips64el-linux | /gnu/store/2sbk10ha7zhbbigcbgbhyza13pla0fp7-r-lpme-1.1.1.drv | ||
i686-linux | /gnu/store/vss6vwns8v494qh1x0q7bxcmzz40iw74-r-lpme-1.1.1.drv | ||
i586-gnu | /gnu/store/iipxg4v1iqlc91grsb5zy818shw5cyg2-r-lpme-1.1.1.drv | ||
armhf-linux | /gnu/store/b4za9c8r1balxza8n8j3jhb0azgn278s-r-lpme-1.1.1.drv | ||
aarch64-linux | /gnu/store/8s34sa7dlhvvrjbn3ki1j8688xv79q6a-r-lpme-1.1.1.drv |
Linter | Message | Location |
---|---|---|
description Validate package descriptions | sentences in description should be followed by two spaces; possible infraction at 153 |