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llg: llg

GITHUB
omneohealth/papuanewguinea: OMNeoHealth Datasets for Papua New Guinea

R: llg
llgR Documentation
llg

llg: llg

GITHUB
OMNeoHealth/papuanewguinea: OMNeoHealth Datasets for Papua New Guinea

R: llg
llgR Documentation
llg

log_prior_moi_ratio_geom: lLg prior MOI ratio

GITHUB
artaylor85/FreqEstimationModel:

R: lLg prior MOI ratio
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

R/S.m.r:

CRAN
SemiParBIVProbit: Semiparametric Copula Regression Models

+ L.SP$l.sp4 + L.SP$l.sp5 + L.SP$l.sp6 + L.SP$l.sp7 + L.SP$l.sp8) ){
if(j <= L.SP$l.sp1){
llg <- length

R/S.m.r:

GITHUB
KironmoyDas/KD-STAT0035-GMupdate: Generalised Joint Regression Modelling

$l.sp4 + L.SP$l.sp5 + L.SP$l.sp6 + L.SP$l.sp7 + L.SP$l.sp8) ){
if(j <= L.SP$l.sp1){
llg <- length(GAM

R/S.m.r:

GITHUB
KironmoyDas/GJRM-GMupdate: Generalised Joint Regression Modelling

$l.sp4 + L.SP$l.sp5 + L.SP$l.sp6 + L.SP$l.sp7 + L.SP$l.sp8) ){
if(j <= L.SP$l.sp1){
llg <- length(GAM

R/S.m.r:

GITHUB
egeminiani/GJRM: Generalised Joint Regression Modelling

+ L.SP$l.sp6 + L.SP$l.sp7 + L.SP$l.sp8) ){
if(j <= L.SP$l.sp1){
llg <- length(GAM$gam1$smooth[[i1]]$S

R/S.m.r:

GITHUB
KironmoyDas/STAT0035_GJRM: Generalised Joint Regression Modelling

$l.sp4 + L.SP$l.sp5 + L.SP$l.sp6 + L.SP$l.sp7 + L.SP$l.sp8) ){
if(j <= L.SP$l.sp1){
llg <- length(GAM

R/S.m.r:

GITHUB
KironmoyDas/KD-STAT0035-GMupdate15feb: Generalised Joint Regression Modelling

$l.sp4 + L.SP$l.sp5 + L.SP$l.sp6 + L.SP$l.sp7 + L.SP$l.sp8) ){
if(j <= L.SP$l.sp1){
llg <- length(GAM

R/S.m.r:

CRAN
JRM: Joint Regression Modelling

+ L.SP$l.sp4 + L.SP$l.sp5 + L.SP$l.sp6 + L.SP$l.sp7 + L.SP$l.sp8) ){
if(j <= L.SP$l.sp1){
llg <- length

R/S.m.r:

CRAN
GJRM: Generalised Joint Regression Modelling

$l.sp5 + L.SP$l.sp6 + L.SP$l.sp7 + L.SP$l.sp8 + L.SP$l.sp9) ){
if(j <= L.SP$l.sp1){
llg <- length(GAM$gam1

R/plots.R:

CRAN
BioRssay: Analyze Bioassays and Probit Graphs

return(ndataf)
#' Legend assembly
#' @noRd

R/plots.R:

GITHUB
milesilab/BioRssay: Analyze Bioassays and Probit Graphs

return(ndataf)
#' Legend assembly
#' @noRd

MBQhsi/R/Lithsi.R:

GITHUB
rocrat/MBQ_Package: Masked Bobwhite HSI Models

gcb  From Simms (1989): Percent basal grass cover measured as in a Daubenmire plot (Daubenmire 1959).
#' @param llg From

data-raw/maps.R:

GITHUB
omneohealth/papuanewguinea: OMNeoHealth Datasets for Papua New Guinea

::use_data(district, overwrite = TRUE, compress = "xz")
llg <- readOGR(dsn = "data-raw/maps

data-raw/maps.R:

GITHUB
OMNeoHealth/papuanewguinea: OMNeoHealth Datasets for Papua New Guinea

::use_data(district, overwrite = TRUE, compress = "xz")
llg <- readOGR(dsn = "data-raw/maps

graphreduce: Make each space in a node apprear only once

CRAN
loon: Interactive Statistical Data Visualization

Examples
G <- completegraph(nodes=LETTERS[1:4])
LG <- linegraph(G)

examples/data_transfer.R:

GITHUB
jeremydmorris/rdomo: Domo API Interface

$ds_update(domo_create,ttt)
modo_same <- modocorp$ds_update(modo_create,ttt)
# Upload large data set

R/SSize_FixAlter.R:

CRAN
SurvGSD: Group Sequential Design for a Clinical Trial with Censored Survival Data

for the control arm.
#' A character string q0="LLG" indiactes an assumed log-logistic survival distribution
#' \eqn{F_0(y;\xi